Risk factors and comorbidities associated with severe aortic stenosis: A case-control study

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Ramos Hernández, M. Núñez Delgado, M. Botana Rial, C. Mouronte Roibás, V. Leiro Fernández, C. Vilariño Pombo, R. Tubío Pérez, M. Nuñez Fernández, A. Fernández Villar" "autores" => array:9 [ 0 => array:2 [ "nombre" => "C." "apellidos" => "Ramos Hernández" ] 1 => array:2 [ "nombre" => "M." "apellidos" => "Núñez Delgado" ] 2 => array:2 [ "nombre" => "M." "apellidos" => "Botana Rial" ] 3 => array:2 [ "nombre" => "C." "apellidos" => "Mouronte Roibás" ] 4 => array:2 [ "nombre" => "V." "apellidos" => "Leiro Fernández" ] 5 => array:2 [ "nombre" => "C." "apellidos" => "Vilariño Pombo" ] 6 => array:2 [ "nombre" => "R." "apellidos" => "Tubío Pérez" ] 7 => array:2 [ "nombre" => "M." "apellidos" => "Nuñez Fernández" ] 8 => array:2 [ "nombre" => "A." 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ROC = 0.74 (0.68–0.80)." ] ] ] "textoCompleto" => "IntroductionAortic stenosis (AS) is a degenerative cardiovascular disease whose prevalence increases from the age of 65 years. Ageing and a lack of strategies for preventing or slowing down AS means it has become a significant public health problem.<a class="elsevierStyleCrossRefs" href="#bib0005">1,2</a>Severe AS, or end-stage calcific aortic valve disease (CAVD), is the result of a degenerative process that involves inflammation or calcification of normal or abnormal aortic valves, particularly the bicuspid valves.<a class="elsevierStyleCrossRefs" href="#bib0010">2,3</a>The first population study to research the association between risk factors and CAVD established a connection between CAVD and arterial hypertension (HTN), diabetes mellitus, hypercholesterolaemia, and low HDL cholesterol levels.<a class="elsevierStyleCrossRef" href="#bib0020">4</a> In the epidemiological studies published, the results for cardiovascular risk factors (CRFs) associated with CAVD or AS are not homogeneous. In addition, various CRFs are associated with the rate of progression of AS and as well as with other comorbidities related to CAVD or AS.<a class="elsevierStyleCrossRefs" href="#bib0020">4–12</a>Few epidemiological studies researching the association between different CRFs and comorbidities with AS have been carried out in a specific population setting, and only one of those was carried out in Spain.<a class="elsevierStyleCrossRefs" href="#bib0020">4,6–10,13,14</a>AS is a disease with a typically slow, insidious onset, and can be accompanied by late-term diagnosis and delayed indication for therapeutic intervention which can worsen prognosis. Identifying the risk factors for severe AS could facilitate identification of the population at highest risk and shorten diagnostic delays, particularly for surgical or interventional therapeutic treatment.<a class="elsevierStyleCrossRef" href="#bib0075">15</a>The aim of this study was to evaluate the association between different CRFs and comorbidities with severe symptomatic AS in patients over the age of 65, in the geographic and population setting of the regions of a province in Spain, comparing severe symptomatic AS cases with controls from the same primary care centre.Patients and methodsAn observational epidemiological case–control study was performed between February 2014 and April 2018. “Cases” were deemed to be any individual  ≥ 65 years from the regions of a province in Spain with clinical and echocardiographic criteria of severe symptomatic AS who, during the study period, were candidates for surgical aortic valve replacement according to the recommended clinical guideline criteria.<a class="elsevierStyleCrossRefs" href="#bib0080">16,17</a> The cases were selected from all the patients who were referred to the cardiology and cardiovascular surgery interdisciplinary committee for evaluation of the type of treatment for severe symptomatic AS. All the patients met the criteria established by the current European Society of Cardiology guidelines during the study period, which consisted of presence of clinical findings (angina, dyspnoea or syncope) and echocardiographic severity (a mean gradient greater than 40 mmHg, transvalvular aortic flow velocity greater than 4 m/s, an aortic valve area smaller than 1 cm2 or an indexed valve area smaller than 0.6 cm2/m2).<a class="elsevierStyleCrossRef" href="#bib0080">16</a> “Controls” were defined as individuals  ≥ 65 years from the regions of one province in Spain, without known AS and sourced from the same primary care centre (PCC) as the age (± 5 years) and sex-matched cases. The same primary care doctors selected the controls out of the patients ≥ 65  years who had been assessed and did not present clinical findings of AS.Information was collected prospectively through patient interviews, physical examinations, and review of the electronic medical histories from the hospital and primary care settings. Data collection, storage and analysis was carried out according to current regulations. The patients gave their written informed consent, and the study was approved by our centre’s research ethics committee and by the research ethics committee of the primary care centre in the province where the study was carried out.The dependent study variable was being a “case” or “control”, and the independent variables were the patients’ demographic (age and sex) and clinical characteristics. In terms of the sample size, the number of cases and controls was calculated to detect an odds ratio (OR) of 2.5, with a risk of α = 0.05 and β = 0.10, on the basis of: P2 = (P1 * OR)/(1 + P1 * [OR-1]). For an expected P1 of 0.50 it was estimated that 87 cases and 261 controls would be needed. Therefore, for every case that was included in the study, we aimed to select 3 controls matched for age (±5 years) and sex from the same PCC or basic health area (BHA) as the case.A two-stage analysis was carried out: first a bivariate analysis of the clinical study variables and secondly a multiple logistic regression model was created to study the CRFs and comorbidities associated with the risk of severe symptomatic AS.The statistical association between the dependent variable (case/control) and the qualitative independent variables was studied using the Chi-squared test or Fisher’s exact test. For the independent quantitative variables, the Student’s t-test was used, that or the nonparametric Mann-Whitney test if the normality hypothesis was not met. In the two cases, a statistical significance level of p < .05 was accepted. The strength of association between the CRFs and comorbidities with the dependent study variable was studied using the crude odds ratio (COR) with a 95% confidence interval (CI).The independent involvement of each factor in the risk of being a “case” was estimated using the adjusted odds ratio (AOR) through logistic regression models in which the dependent variable was case/control and the independent variables where the various CRFs and comorbidities.Two types of multiple logistic regression models were constructed: 1) CRFs; and 2) comorbidities. Variables with a p value < .2 were considered candidates and their input was carried out using forward and backward variable selection algorithms. Next, the model was readjusted testing those factors that remained in the limit area of p < .1. The calibration characteristics were studied using the Hosmer and Lemeshow test and the power of discrimination (AUC c-statistic). The quadratic effects of the numerical variables and possible interactions were tested.All calculations were carried out using the SPSS 15.0 and R statistical program, setting significance to 0.05.ResultsA total of 102 cases and 221 controls were studied. For each case, between one and three controls were included from the same PCC, matched for sex and age with an average of 2.17 controls for each case. The mean age of the cases was 77.6 years and 75.5 years for the controls, with a difference of 2.1 years between the two (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>). This difference is due to the case and control matching being ±5  years. No significant differences regarding sex or other anthropometric variables were found, although a high degree of overweight and obesity was observed. Abdominal circumference and the presence of central obesity were significantly higher in the cases, but no differences were found regarding the absolute value of the ankle-brachial index (ABI) nor the presence of a pathological ABI (< 0.9). Lastly, both haemoglobin and haematocrit were significantly lower in the cases, such that the prevalence of anaemia was significantly higher in the cases compared to the controls (37.3% and 13.3%; p < .001).<elsevierMultimedia ident="tbl0005"></elsevierMultimedia>With regard to the CRFs, the cases showed a significant difference compared to the controls for current or previous tobacco use (38.2% and 25.4%, p = .020), HTN (85.3% and 70.3%; p = .004), hypercholesterolaemia (71.6% and 51.2%; p = .001) and low HDL cholesterol levels (34.3% and 19.1%, p = .003). On the other hand, no significant differences were observed in the prevalence of obesity, diabetes, and family history of documented ischaemic heart disease.In terms of disease history or comorbidities, the cases presented a significantly higher percentage of chronic kidney disease (CKD) (28.4% and 8.1%, p < .001), COPD (18.6% and 11.9%, other 11.8% and 7.6%, p = .049), CVA (8.8% and 2.4%, p < .002) and carotid artery stenosis (CS) (5.9% and 0.5%, p < .002). However, there were no statistically significant differences with regard to history of peripheral artery disease, endocrine disease or digestive disease. In the cases group there were more instances of cardiology-related medical history compared to the controls, and this group had a higher frequency of prior episodes of AMI (p < .001) and prior cardiology intervention (p < .001) (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>).<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> shows the result of the multiple logistic regression model for the CRFs. A statistically significant association was found between severe symptomatic AS and the following CRFs (AOR = 2.67; 95% CI: 1.54−4.64), tobacco use (AOR = 2.60; 95% CI: 1.48−4.58), HTN (AOR = 2.41; 95% CI: 1.23−4.72), low HDL cholesterol levels (AOR = 2.20; 95% CI: 1.25−3.88) and age (AOR = 1.08; 95% CI: 1.03−1.13). In <a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>, the diagnostic efficacy curve (Receiver Operating Characteristic [ROC]) of the logistic regression model for the CRFs showed good discrimination (0.74; 0.68−0.80) of the association between the various CRFs and AS.<elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows the results of the multiple logistic regression model for comorbidities, where a statistically significant association was found between severe symptomatic AS and the following comorbidities: carotid artery disease (AOR = 14.5; 95% CI: 1.61−129), CVA (AOR = 4.14; 95% CI: 1.20−14.2) and CKD (AOR = 3.78; 95% CI: 1.88−7.59). On the contrary, haemoglobin levels were inversely associated with severe AS (AOR = 0.76; 95% CI: 0.65−0.90; p < .001). <a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a> shows that the comorbidities logistic regression model ROC curve presented an area under the curve of 0.74 (0.68−0.80), such that this model showed good discrimination.<elsevierMultimedia ident="tbl0015"></elsevierMultimedia><elsevierMultimedia ident="fig0010"></elsevierMultimedia>DiscussionThis study made it possible to confirm that CRFs associated with ischaemic heart disease (hypertension, hypercholesterolaemia and low HDL levels) are also risk factors for AS. Comparably to the Framingham study, they all present an OR of between two and three and could have a predictive risk value in patients over the age of 65. The study also shows that AS is associated with comorbidities (very specifically with carotid artery stenosis, CVA and kidney disease) that could be risk markers. Given the high prevalence of AS in the elderly and the current aging population, this study presents significant practical applications.<a class="elsevierStyleCrossRef" href="#bib0090">18</a>One epidemiological study explored the relationship between CRFs and the severity of CAVD in a patient group similar to ours. This study noted that age, tobacco use, HTN, abdominal circumference and ABI < 0.9 presented a statistically significant association with CAVD. On the other hand, the multivariate analysis from the Helsinki Ageing Study showed that only age, HTN, and a low BMI were associated with aortic valve calcification, and that age and serum calcium levels were the only factors associated with AS. Lastly, the epidemiological data from the Cardiovascular Health Study showed that age, male sex, and lipoprotein (a) strongly correlated with CAVD or AS prevalence, and that history of HTN, current tobacco use, LDL cholesterol and height were, to a lesser degree, associated with the presence of CAVD or AS. In addition, in the bivariate analysis, a statistically significant inverse association with HDL cholesterol levels was observed, in line with our results.<a class="elsevierStyleCrossRefs" href="#bib0030">6,7,14</a>Regarding comorbidities associated with severe AS, it must be borne in mind that some share CRFs in their etiopathogenesis and these comorbidities may be related, from a pathophysiological point of view, to the development and evolution of AS.In the multivariate analysis, Ferreira-González et al.<a class="elsevierStyleCrossRef" href="#bib0030">6</a> showed that CAVD was associated with moderate-severe kidney disease, but not mild-moderate disease. In fact, since kidney disease leads to rapid development of atherosclerosis, they state that this could explain how kidney disease is associated with advanced stages of CAVD. Our study found an association between CKD and AS. On the contrary, other studies did not observe any association in the multivariate analysis between an estimated glomerular filtration rate  < 60 mL/min/1.73 m2 and CAVD, nor between creatinine levels and AS progression. In this sense, the Framingham Offspring Study did not find a statistically significant association between CKD and aortic sclerosis or aortic annular calcification either. Indeed, the relationship between CKD and significant valve calcification (mitral and aortic) was notably diminished after adjusting for the CRFs in the multivariate analysis. The authors suggest that the risk factors shared by chronic kidney disease and valve calcification could partially explain the prevalence of valve calcification in chronic kidney disease.<a class="elsevierStyleCrossRefs" href="#bib0030">6,9,10,19</a>,<a class="elsevierStyleCrossRef" href="#bib0100">20</a>With regard to atherosclerosis or carotid artery stenosis, we did not find any studies evaluating their association with CAVD or AS in a logistic regression model. There are studies evaluating other types of associations, such as a multivariate analysis that observed that the predictors for haemodynamically significant carotid artery stenosis in a screening with carotid artery Doppler ultrasound prior to valvular heart surgery include age (≥ 75  years), aortic valve disease, chronic kidney disease, and peripheral vascular disease.<a class="elsevierStyleCrossRef" href="#bib0105">21</a>In terms of the association between CVA and CAVD or AS, it is worth mentioning that Ferreira et al. also observed a statistically significant association between CVA and CAVD that did not hold up in the multinomial logistic regression. This could be due in part to the fact that AS may be a risk factor for CVA (and not the reverse), or that CVA shares CRFs with AS and, therefore, is not a true risk factor for AS. This same explanation could hold true for the other comorbidities analysed in our study.<a class="elsevierStyleCrossRefs" href="#bib0030">6,22–27</a>Both haemoglobin and haematocrit levels were significantly lower in the cases compared to the controls and, consequently, a higher prevalence of anaemia was observed in the cases. The potential association with anaemia and kidney disease, and its possible confounding role, was neutralised by introducing the two variables into the final comorbidities multivariate model. Multiple epidemiological studies have associated a high prevalence of anaemia with the presence, severity, and poorer prognosis of AS. Likewise, the high prevalence of anaemia may affect the patient’s perceived quality of life and health status given that, in elderly patients in particular, anaemia is associated with lower scores on quality of life questionnaires and a greater risk of hospitalisation and falls.<a class="elsevierStyleCrossRefs" href="#bib0140">28–30</a>AS is a silent disease of slow onset that is often diagnosed only upon the appearance of symptoms that affect the patient’s quality of life. Identifying risk factors and comorbidities associated with severe AS could facilitate the creation of predictive models for patient identification and follow-up and reduce diagnostic (based on auscultation, medical history, and potential ultrasound scan) and therapeutic delay, thereby improving patient prognosis and quality of life. Of the predictive value of the comorbidities, specifically, the potential for AS presentation in patients with carotid artery stenosis and CKD should be considered. Lastly, preventing exposure to risk factors at the population level could have a multiplying effect for other chronic diseases that share the same risk factors and could directly affect the reduction of morbidity and mortality. In fact, in a population study carried out in Sweden between 1989 and 2009, a decrease in the incidence of AS and improvements to disease prognosis were observed, suggesting that this is due to better management of risk factors together with adequate treatment.<a class="elsevierStyleCrossRefs" href="#bib0075">15,31</a>This study presents some limitations. Some cases that were candidates for participation in the study may have died and this could result in bias, with patients with better prognoses being overrepresented. This could bias the results towards a null hypothesis, reinforcing the value of the detected factors. In the same manner, the controls could be potential undiagnosed cases given that AS may not have any clinical signs and symptoms, even in advanced stages. This assumption would also bias the results towards the null hypothesis, therefore the detection of any risk factor would be further reinforced in this situation.Regarding the sample size, it was not possible to select three controls for some of the cases and the final sample was somewhat smaller than expected (221 compared to 261), which reduced the statistical power and precision of the study. The age of the controls was 2.1 years younger than the cases because they were matched  ±5  years. Regardless, the absolute number of years is not considered to be very high, and this variable was taken into account in all the logistic regression models to neutralise its potentially confounding role. Likewise, given that the controls were patients seen in a primary care setting, it is plausible that they may present a slightly higher prevalence of comorbidities than the non-selected general population, which could also lead to skewing the results towards the null hypothesis. In addition, due to the nature of the observational study, no causal relationships between CRFs and cases of severe AS can be inferred. The fact that the study was limited to individuals over the age of 65 could influence the magnitude of the association between CRFs and severe AS.The results of the regression were obtained from the patients who provided all the data. In the case of the regression analysis determining the effect of haemoglobin, 7.7% of patients recorded no data, meaning the regression results omitted the profile of said 7.7% of patients. Such limitation may or may not introduce a potential bias that the authors consider unlikely taking into account the fact that we don’t believe there are differing characteristics between the patients who did or did not record the datum of interest.Lastly, it may not be possible to extrapolate the results to other geographic areas.With this study, we were able to quantify the role of the risk factors and comorbidities that accompany severe AS. Identifying patients at greater risk of developing this disease makes it possible to reduce the time to diagnosis and treatment, thereby improving patient quality of life.ConclusionsThe CRFs tobacco use, HTN, hypercholesterolaemia, and low HDL cholesterol levels are associated with severe AS in people  ≥ 65  years.Chronic kidney disease, cerebrovascular accident, and carotid artery stenosis are comorbidities that are associated with severe AS in people  ≥ 65  years and are also inversely associated with haemoglobin levels.Compared to previous studies, this study made it possible to quantify the role of the risk factors and comorbidities that accompany severe AS and that would facilitate the identification of patients at greater risk of developing the disease. This could reduce diagnostic and therapeutic delays and with this, improve patient quality of life.FundingThis study has been partially funded by the Clinical Trials and Research Unit of the Cardiology Service at Hospital Arnau de Vilanova in Lleida (Spain).Conflicts of interestThe authors declare that they do not have any conflicts of interest." "textoCompletoSecciones" => array:1 [ "secciones" => array:13 [ 0 => array:3 [ "identificador" => "xres1509375" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background and objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Patients and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1369258" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres1509376" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Antecedentes y objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Pacientes y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec1369257" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:2 [ "identificador" => "sec0010" "titulo" => "Patients and methods" ] 6 => array:2 [ "identificador" => "sec0015" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "sec0020" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0025" "titulo" => "Conclusions" ] 9 => array:2 [ "identificador" => "sec0030" "titulo" => "Funding" ] 10 => array:2 [ "identificador" => "sec0035" "titulo" => "Conflicts of interest" ] 11 => array:2 [ "identificador" => "xack529723" "titulo" => "Acknowledgments" ] 12 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2019-11-05" "fechaAceptado" => "2020-01-13" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1369258" "palabras" => array:4 [ 0 => "Aortic stricture" 1 => "Cardiovascular risk factor" 2 => "Comorbidities" 3 => "Epidemiology" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1369257" "palabras" => array:4 [ 0 => "Estenosis aórtica" 1 => "Factor de riesgo cardiovascular" 2 => "Comorbilidades" 3 => "Epidemiología" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "Background and objectiveAortic stricture (AS) is one of the most prevalent cardiovascular diseases in individuals 65 years of age or older. A number of epidemiological studies have suggested that certain cardiovascular risk factors (CRFs) and comorbidities could be associated with AS. The aim of this study was to evaluate the association between CRFs and comorbidities and severe symptomatic AS in individuals 65 years of age or older in a Spanish healthcare region. Patients and methodsWe conducted an epidemiological case-control study from a single primary care centre. We collected information on exposure to CRFs and comorbidities and determined their association with AS, employing adjusted odds ratios (OR) and multiple logistic regression models. ResultsThe study included 102 cases (mean age, 77.6 years) and 221 controls (mean age, 75.5 years). The CRFs significantly associated with severe symptomatic AS were hypercholesterolaemia (OR, 2.67; p < .001), tobacco use (OR, 2.60; p < .001), hypertension (OR, 2.41; p = .010) and low HDL cholesterol readings (OR, 2.20; p = .007). The comorbidities significantly associated with severe symptomatic AS were carotid stenosis (OR, 14.5; p = .017), stroke (OR, 4.14; p = .024), chronic renal failure (OR, 3.78; p < .001) and low haemoglobin levels (OR, 0.76; p < .001). ConclusionsHypercholesterolaemia, tobacco use, arterial hypertension and low HDL cholesterol levels are the CRFs with a greater risk of severe AS. Furthermore, this disease is associated with a number of comorbidities (chronic renal failure, stroke, carotid stenosis and low haemoglobin levels), which could be markers of AS." "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background and objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Patients and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "Antecedentes y objetivoLa estenosis aórtica (EA) es una de las enfermedades cardiovasculares más prevalentes en ≥65 años. Algunos estudios epidemiológicos sugieren que ciertos factores de riesgo cardiovascular (FRCV) y comorbilidades pueden estar asociados con la EA. El objetivo del estudio es evaluar la asociación de FRCV y comorbilidades con la EA grave sintomática en ≥65 años en una región sanitaria española. Pacientes y métodosSe realizó un estudio epidemiológico de casos y controles procedentes del mismo centro de atención primaria. Se recogió información sobre la exposición a FRCV y comorbilidades y se determinó la asociación de ambos con la EA con odds ratio ajustadas (ORa), mediante modelos de regresión logística múltiple. ResultadosSe incluyeron un total de 102 casos (edad media = 77,6 años) y 221 controles (edad media = 75,5 años). Los FRCV significativamente asociados con la EA grave sintomática fueron hipercolesterolemia (ORa = 2,67; p < 0,001), tabaquismo (ORa = 2,60; p < 0,001), hipertensión (ORa = 2,41; p = 0,010) y cifras bajas de colesterol-HDL (ORa = 2,20; p = 0,007). Las comorbilidades significativamente asociadas con la EA grave sintomática fueron estenosis carotídea (ORa = 14,5; p = 0,017), accidente vascular cerebral (ORa = 4,14; p = 0,024), insuficiencia renal crónica (ORa = 3,78; p < 0,001) y bajos niveles de hemoglobina (ORa = 0,76; p < 0,001). ConclusionesLa hipercolesterolemia, el tabaquismo, la hipertensión arterial y los niveles bajos de colesterol-HDL son los FRCV que comportan mayor riesgo de EA grave. Asimismo, esta enfermedad se asocia con algunas comorbilidades (insuficiencia renal crónica, accidente vascular cerebral, estenosis carotídea y niveles de hemoglobina más bajos) que podrían ser marcadores de EA." "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Antecedentes y objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Pacientes y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "Please cite this article as: Gracia Baena JM, Calaf Vall I, Zielonka M, Marsal Mora JR, Godoy P, Worner Diz F. Factores de riesgo y comorbilidades asociadas a la estenosis aórtica grave: estudio de casos y controles. Rev Clin Esp. 2021;221:249–257." ] ] "multimedia" => array:5 [ 0 => array:8 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1505 "Ancho" => 1494 "Tamanyo" => 68295 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0005" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "ROC curve of the multivariate logistic regression model for cardiovascular risk factors. ROC = 0.74 (0.68–0.80)." ] ] 1 => array:8 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1504 "Ancho" => 1483 "Tamanyo" => 71776 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0010" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "ROC curve of the multivariate logistic regression model for comorbidities. ROC = 0.74 (0.68–0.80)." ] ] 2 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0015" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "ABI: ankle-brachial index; AMI: acute myocardial infarction; BMI: body mass index; CAS: carotid artery stenosis; CKD: chronic kidney disease; COPD: chronic obstructive pulmonary disease; CVA: cerebrovascular accident; HDL: high-density lipoprotein; SD: standard deviation; TIA: transient ischemic attack.Central obesity is defined as abdominal circumference  > 102 cm in men and >88 cm in women; anaemia prevalence is defined as haemoglobin levels  < 13 g/dL in men and < 12 g/dL in women." "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Cases (n = 102) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Controls (n = 221) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">p \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age in years, mean ± SD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">77.6 ± 5.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">75.5 ± 6.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.003<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Sex, n (% female) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">39 (38.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">92 (41.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.564 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Weight (kg), mean ± SD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">77 ± 12.9<a class="elsevierStyleCrossRef" href="#tblfn0010">a</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">74.6 ± 12.4<a class="elsevierStyleCrossRef" href="#tblfn0040">g</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.076 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">BMI (kg/m2), mean ± SD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">29 ± 3.9<a class="elsevierStyleCrossRef" href="#tblfn0015">b</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28.4 ± 4.5<a class="elsevierStyleCrossRef" href="#tblfn0040">g</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.118 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Categorised BMI (kg/m2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.335 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Normal (≤ 24.9 kg/m2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18 (18.2%)<a class="elsevierStyleCrossRef" href="#tblfn0015">b</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">43 (20.9%)<a class="elsevierStyleCrossRef" href="#tblfn0040">g</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Overweight (25−29.9 kg/m2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">43 (43.4%)<a class="elsevierStyleCrossRef" href="#tblfn0015">b</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">96 (46.6%)<a class="elsevierStyleCrossRef" href="#tblfn0040">g</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Obesity (≥ 30 kg/m2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">38 (38.4%)<a class="elsevierStyleCrossRef" href="#tblfn0015">b</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">67 (32.5%)<a class="elsevierStyleCrossRef" href="#tblfn0040">g</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Abdominal circumference (cm) mean ± SD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">107.1 ± 8.6<a class="elsevierStyleCrossRef" href="#tblfn0020">c</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">102.9 ± 11.1<a class="elsevierStyleCrossRef" href="#tblfn0045">h</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.003<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Central obesity, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">45 (83.3%)<a class="elsevierStyleCrossRef" href="#tblfn0020">c</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">109 (67.3%)<a class="elsevierStyleCrossRef" href="#tblfn0045">h</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.024<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">ABI, mean ± SD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.1 ± 0.2<a class="elsevierStyleCrossRef" href="#tblfn0025">d</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.1 ± 0.2<a class="elsevierStyleCrossRef" href="#tblfn0015">b</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.622 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">ABI < 0.9, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5 (8.9%)<a class="elsevierStyleCrossRef" href="#tblfn0025">d</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15 (15.2%)<a class="elsevierStyleCrossRef" href="#tblfn0015">b</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.267 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Haemoglobin (mean ± SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13 ± 1.8<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">14.4 ± 3.7<a class="elsevierStyleCrossRef" href="#tblfn0050">i</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< .001<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Haematocrit (mean ± SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">39.9 ± 5.1<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">42.4 ± 5.3<a class="elsevierStyleCrossRef" href="#tblfn0055">j</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< .001<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cardiovascular risk factors \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Tobacco use (current or previous), n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">39 (38.2%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">53 (25.4%)<a class="elsevierStyleCrossRef" href="#tblfn0060">k</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.020<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">History of hypertension, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">87 (85.3%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">147 (70.3%)<a class="elsevierStyleCrossRef" href="#tblfn0060">k</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.004<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">History of hypercholesterolaemia, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">73 (71.6%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">107 (51.2%)<a class="elsevierStyleCrossRef" href="#tblfn0060">k</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.001<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">History of low HDL, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">35 (34.3%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">40 (19.1%)<a class="elsevierStyleCrossRef" href="#tblfn0060">k</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.003<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">History of diabetes, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">34 (33.7%)<a class="elsevierStyleCrossRef" href="#tblfn0035">f</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">59 (28.8%)<a class="elsevierStyleCrossRef" href="#tblfn0065">l</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.383 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">History of obesity, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">44 (43.1%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">71 (34%)<a class="elsevierStyleCrossRef" href="#tblfn0060">k</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.116 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Family history of ischaemic heart disease, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.833 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">89 (89.9%)<a class="elsevierStyleCrossRef" href="#tblfn0015">b</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">186 (91.6%)<a class="elsevierStyleCrossRef" href="#tblfn0070">m</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Unsure \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (2%)<a class="elsevierStyleCrossRef" href="#tblfn0015">b</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 (0%)<a class="elsevierStyleCrossRef" href="#tblfn0070">m</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Yes (documented) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8 (8.1%)<a class="elsevierStyleCrossRef" href="#tblfn0015">b</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17 (8.4%)<a class="elsevierStyleCrossRef" href="#tblfn0070">m</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Disease history \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Nephrological history (CRF), n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">29 (28.4%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17 (8.1%)<a class="elsevierStyleCrossRef" href="#tblfn0075">n</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< .001<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">History of respiratory disease, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.049<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">71 (69.6%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">169 (80.5%)<a class="elsevierStyleCrossRef" href="#tblfn0075">n</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">COPD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19 (18.6%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25 (11.9%)<a class="elsevierStyleCrossRef" href="#tblfn0075">n</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Other \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12 (11.8%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 (7.6%)<a class="elsevierStyleCrossRef" href="#tblfn0075">n</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Neurological history, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.002<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">90 (88.2%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">179 (85.2%)<a class="elsevierStyleCrossRef" href="#tblfn0075">n</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">TIA \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (2%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (1.9%)<a class="elsevierStyleCrossRef" href="#tblfn0075">n</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CVA \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9 (8.8%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5 (2.4%)<a class="elsevierStyleCrossRef" href="#tblfn0075">n</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Other \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 (1%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">22 (10.5%)<a class="elsevierStyleCrossRef" href="#tblfn0075">n</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">History of carotid artery disease (CAD), n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6 (5.9%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 (0.5%)<a class="elsevierStyleCrossRef" href="#tblfn0075">n</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.002<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">History of peripheral artery disease, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 (2.9%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9 (4.3%)<a class="elsevierStyleCrossRef" href="#tblfn0075">n</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.562 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">AMI, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">None \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">88 (86.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">190 (96.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< .001<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">One \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10 (9.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7 (3.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Two or more \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (3.9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 (0%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Prior cardiac intervention, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18 (17.65%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (0.95%)<a class="elsevierStyleCrossRef" href="#tblfn0075">n</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< .001<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">History of endocrine disease, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7 (6.9%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">24 (11.4%)<a class="elsevierStyleCrossRef" href="#tblfn0075">n</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.206 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Digestive history, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18 (17.6%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27 (12.9%)<a class="elsevierStyleCrossRef" href="#tblfn0075">n</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.259 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Anaemia, frequency (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">38 (37.3%)<a class="elsevierStyleCrossRef" href="#tblfn0030">e</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26 (13.3%)<a class="elsevierStyleCrossRef" href="#tblfn0050">i</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< .001<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2592323.png" ] ] ] "notaPie" => array:15 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "*" "nota" => "p < .05." ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "a" "nota" => "N = 100." ] 2 => array:3 [ "identificador" => "tblfn0015" "etiqueta" => "b" "nota" => "N = 99." ] 3 => array:3 [ "identificador" => "tblfn0020" "etiqueta" => "c" "nota" => "N = 54." ] 4 => array:3 [ "identificador" => "tblfn0025" "etiqueta" => "d" "nota" => "N = 56." ] 5 => array:3 [ "identificador" => "tblfn0030" "etiqueta" => "e" "nota" => "N = 102." ] 6 => array:3 [ "identificador" => "tblfn0035" "etiqueta" => "f" "nota" => "N = 101." ] 7 => array:3 [ "identificador" => "tblfn0040" "etiqueta" => "g" "nota" => "N = 206." ] 8 => array:3 [ "identificador" => "tblfn0045" "etiqueta" => "h" "nota" => "N = 162." ] 9 => array:3 [ "identificador" => "tblfn0050" "etiqueta" => "i" "nota" => "N = 196." ] 10 => array:3 [ "identificador" => "tblfn0055" "etiqueta" => "j" "nota" => "N = 194." ] 11 => array:3 [ "identificador" => "tblfn0060" "etiqueta" => "k" "nota" => "N = 209." ] 12 => array:3 [ "identificador" => "tblfn0065" "etiqueta" => "l" "nota" => "N = 205." ] 13 => array:3 [ "identificador" => "tblfn0070" "etiqueta" => "m" "nota" => "N = 203." ] 14 => array:3 [ "identificador" => "tblfn0075" "etiqueta" => "n" "nota" => "N = 210." ] ] ] "descripcion" => array:1 [ "en" => "Clinical and demographic characteristics of cases and controls." ] ] 3 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0020" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "AOR: adjusted odds ratio; CI: confidence interval; COR: crude odds ratio; HDL: high-density lipoproteins." "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">COR (95% CI) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">p \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">AOR (95% CI) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">p \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.06 (1.02−1.11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.004<a class="elsevierStyleCrossRef" href="#tblfn0080">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.08 (1.03−1.13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< .001<a class="elsevierStyleCrossRef" href="#tblfn0080">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Sex (female) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.87 (0.54−1.40) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.564 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Obesity \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.35 (0.69−2.67) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.381 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Central obesity \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.43 (1.11−5.34) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.027<a class="elsevierStyleCrossRef" href="#tblfn0080">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hypertension \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.45 (1.31−4.56) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.005<a class="elsevierStyleCrossRef" href="#tblfn0080">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.41 (1.23−4.72) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.010<a class="elsevierStyleCrossRef" href="#tblfn0080">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Tobacco use \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.82 (1.10−3.02) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.020<a class="elsevierStyleCrossRef" href="#tblfn0080">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.60 (1.48−4.58) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< .001<a class="elsevierStyleCrossRef" href="#tblfn0080">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hypercholesterolaemia \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.40 (1.44−3.99) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.001<a class="elsevierStyleCrossRef" href="#tblfn0080">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.67 (1.54−4.64) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< .001<a class="elsevierStyleCrossRef" href="#tblfn0080">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Low HDL cholesterol levels \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.21 (1.29−3.77) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.004<a class="elsevierStyleCrossRef" href="#tblfn0080">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.20 (1.25−3.88) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.007<a class="elsevierStyleCrossRef" href="#tblfn0080">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Diabetes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.26 (0.75−2.09) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.880 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2592322.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0080" "etiqueta" => "*" "nota" => "p < .05." ] ] ] "descripcion" => array:1 [ "en" => "Analysis of the magnitude of association between cardiovascular risk factors and severe AS." ] ] 4 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0025" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "AOR: adjusted odds ratio; CI: confidence interval; CKD: chronic kidney disease; COPD: chronic obstructive pulmonary disease; COR: crude odds ratio; CS: carotid artery stenosis; CVA: cerebrovascular accident." "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">COR (95% CI) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">p \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">AOR (95% CI) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">p \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.06 (1.02−1.11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.004<a class="elsevierStyleCrossRef" href="#tblfn0085">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.04 (0.99−1.08) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.143 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Sex (female) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.87 (0.54−1.40) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.564 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">COPD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.69 (0.88−3.20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.112 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CVA \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.97 (1.29−12.16) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.016<a class="elsevierStyleCrossRef" href="#tblfn0085">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.14 (1.20−14.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.024<a class="elsevierStyleCrossRef" href="#tblfn0085">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Carotid artery disease (CAD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13.06 (1.55−110) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.018<a class="elsevierStyleCrossRef" href="#tblfn0085">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">14.5 (1.61−129) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.017<a class="elsevierStyleCrossRef" href="#tblfn0085">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Kidney disease (CKD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5.05 (2.60−9.82) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< .001<a class="elsevierStyleCrossRef" href="#tblfn0085">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.78 (1.88−7.59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< .001<a class="elsevierStyleCrossRef" href="#tblfn0085">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Endocrine disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.57 (0.24−1.37) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.211 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Haemoglobin \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.74 (0.63−0.85) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< .001<a class="elsevierStyleCrossRef" href="#tblfn0085">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.76 (0.65−0.90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< .001<a class="elsevierStyleCrossRef" href="#tblfn0085">*</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Haematocrit \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.91 (0.87−0.96) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< .001<a class="elsevierStyleCrossRef" href="#tblfn0085">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2592324.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0085" "etiqueta" => "*" "nota" => "p < .05." ] ] ] "descripcion" => array:1 [ "en" => "Analysis of the magnitude of association between comorbidities and severe AS." ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:31 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Epidemiology of valvular heart disease in the adult" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "B. 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Original article

Risk factors and comorbidities associated with severe aortic stenosis: A case-control study

Factores de riesgo y comorbilidades asociadas a la estenosis aórtica grave: estudio de casos y controles

J.M. Gracia Baenaa,b,

Corresponding author

drjmccv@hotmail.com

Corresponding author.

, I. Calaf Vallc, M. Zielonkac, J.R. Marsal Morad, P. Godoyb,e,f, F. Worner Dizc

a Servei de Cirurgia Cardíaca d’Adults, Hospital Universitari Vall d’Hebron, Barcelona, Spain

b Unitat d’Epidemiologia Aplicada, Departament de Cirurgia, Universitat de Lleida, Lleida, Spain

c Servei de Cardiologia, Hospital Universitari Arnau de Vilanova, Lleida, Spain

d Unitat de Suport a la Recerca Lleida, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol iGurina (IDIAPJGol), Barcelona, Spain

e CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain

f Agència de Salut Pública de Catalunya, Barcelona, Spain

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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Aortic stenosis &#40;AS&#41; is a degenerative cardiovascular disease whose prevalence increases from the age of 65 years&#46; Ageing and a lack of strategies for preventing or slowing down AS means it has become a significant public health problem&#46;<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1&#44;2</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Severe AS&#44; or end-stage calcific aortic valve disease &#40;CAVD&#41;&#44; is the result of a degenerative process that involves inflammation or calcification of normal or abnormal aortic valves&#44; particularly the bicuspid valves&#46;<a class="elsevierStyleCrossRefs" href="#bib0010"><span class="elsevierStyleSup">2&#44;3</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">The first population study to research the association between risk factors and CAVD established a connection between CAVD and arterial hypertension &#40;HTN&#41;&#44; diabetes mellitus&#44; hypercholesterolaemia&#44; and low HDL cholesterol levels&#46;<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">4</span></a> In the epidemiological studies published&#44; the results for cardiovascular risk factors &#40;CRFs&#41; associated with CAVD or AS are not homogeneous&#46; In addition&#44; various CRFs are associated with the rate of progression of AS and as well as with other comorbidities related to CAVD or AS&#46;<a class="elsevierStyleCrossRefs" href="#bib0020"><span class="elsevierStyleSup">4&#8211;12</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">Few epidemiological studies researching the association between different CRFs and comorbidities with AS have been carried out in a specific population setting&#44; and only one of those was carried out in Spain&#46;<a class="elsevierStyleCrossRefs" href="#bib0020"><span class="elsevierStyleSup">4&#44;6&#8211;10&#44;13&#44;14</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">AS is a disease with a typically slow&#44; insidious onset&#44; and can be accompanied by late-term diagnosis and delayed indication for therapeutic intervention which can worsen prognosis&#46; Identifying the risk factors for severe AS could facilitate identification of the population at highest risk and shorten diagnostic delays&#44; particularly for surgical or interventional therapeutic treatment&#46;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a></p><p id="par0030" class="elsevierStylePara elsevierViewall">The aim of this study was to evaluate the association between different CRFs and comorbidities with severe symptomatic AS in patients over the age of 65&#44; in the geographic and population setting of the regions of a province in Spain&#44; comparing severe symptomatic AS cases with controls from the same primary care centre&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Patients and methods</span><p id="par0035" class="elsevierStylePara elsevierViewall">An observational epidemiological case&#8211;control study was performed between February 2014 and April 2018&#46; &#8220;Cases&#8221; were deemed to be any individual&#8239; &#8805;&#8239;65 years from the regions of a province in Spain with clinical and echocardiographic criteria of severe symptomatic AS who&#44; during the study period&#44; were candidates for surgical aortic valve replacement according to the recommended clinical guideline criteria&#46;<a class="elsevierStyleCrossRefs" href="#bib0080"><span class="elsevierStyleSup">16&#44;17</span></a> The cases were selected from all the patients who were referred to the cardiology and cardiovascular surgery interdisciplinary committee for evaluation of the type of treatment for severe symptomatic AS&#46; All the patients met the criteria established by the current European Society of Cardiology guidelines during the study period&#44; which consisted of presence of clinical findings &#40;angina&#44; dyspnoea or syncope&#41; and echocardiographic severity &#40;a mean gradient greater than 40&#8239;mmHg&#44; transvalvular aortic flow velocity greater than 4&#8239;m&#47;s&#44; an aortic valve area smaller than 1&#8239;cm<span class="elsevierStyleSup">2</span> or an indexed valve area smaller than 0&#46;6&#8239;cm<span class="elsevierStyleSup">2</span>&#47;m<span class="elsevierStyleSup">2</span>&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a> &#8220;Controls&#8221; were defined as individuals &#8239;&#8805;&#8239;65 years from the regions of one province in Spain&#44; without known AS and sourced from the same primary care centre &#40;PCC&#41; as the age &#40;&#177;&#8239;5 years&#41; and sex-matched cases&#46; The same primary care doctors selected the controls out of the patients &#8805;&#8239;65&#8239; years who had been assessed and did not present clinical findings of AS&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">Information was collected prospectively through patient interviews&#44; physical examinations&#44; and review of the electronic medical histories from the hospital and primary care settings&#46; Data collection&#44; storage and analysis was carried out according to current regulations&#46; The patients gave their written informed consent&#44; and the study was approved by our centre&#8217;s research ethics committee and by the research ethics committee of the primary care centre in the province where the study was carried out&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">The dependent study variable was being a &#8220;case&#8221; or &#8220;control&#8221;&#44; and the independent variables were the patients&#8217; demographic &#40;age and sex&#41; and clinical characteristics&#46; In terms of the sample size&#44; the number of cases and controls was calculated to detect an odds ratio &#40;OR&#41; of 2&#46;5&#44; with a risk of &#945;&#8239;&#61;&#8239;0&#46;05 and &#946;&#8239;&#61;&#8239;0&#46;10&#44; on the basis of&#58; P<span class="elsevierStyleInf">2</span>&#8239;&#61;&#8239;&#40;P<span class="elsevierStyleInf">1</span>&#8239;&#42;&#8239;OR&#41;&#47;&#40;1&#8239;&#43;&#8239;P<span class="elsevierStyleInf">1</span>&#8239;&#42;&#8239;&#91;OR-1&#93;&#41;&#46; For an expected P<span class="elsevierStyleInf">1</span> of 0&#46;50 it was estimated that 87 cases and 261 controls would be needed&#46; Therefore&#44; for every case that was included in the study&#44; we aimed to select 3 controls matched for age &#40;&#177;5 years&#41; and sex from the same PCC or basic health area &#40;BHA&#41; as the case&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">A two-stage analysis was carried out&#58; first a bivariate analysis of the clinical study variables and secondly a multiple logistic regression model was created to study the CRFs and comorbidities associated with the risk of severe symptomatic AS&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">The statistical association between the dependent variable &#40;case&#47;control&#41; and the qualitative independent variables was studied using the Chi-squared test or Fisher&#8217;s exact test&#46; For the independent quantitative variables&#44; the Student&#8217;s t-test was used&#44; that or the nonparametric Mann-Whitney test if the normality hypothesis was not met&#46; In the two cases&#44; a statistical significance level of <span class="elsevierStyleItalic">p</span>&#8239;&#60;&#8239;&#46;05 was accepted&#46; The strength of association between the CRFs and comorbidities with the dependent study variable was studied using the crude odds ratio &#40;COR&#41; with a 95&#37; confidence interval &#40;CI&#41;&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">The independent involvement of each factor in the risk of being a &#8220;case&#8221; was estimated using the adjusted odds ratio &#40;AOR&#41; through logistic regression models in which the dependent variable was case&#47;control and the independent variables where the various CRFs and comorbidities&#46;</p><p id="par0065" class="elsevierStylePara elsevierViewall">Two types of multiple logistic regression models were constructed&#58; 1&#41; CRFs&#59; and 2&#41; comorbidities&#46; Variables with a <span class="elsevierStyleItalic">p</span> value&#8239;&#60;&#8239;&#46;2 were considered candidates and their input was carried out using forward and backward variable selection algorithms&#46; Next&#44; the model was readjusted testing those factors that remained in the limit area of <span class="elsevierStyleItalic">p</span>&#8239;&#60;&#8239;&#46;1&#46; The calibration characteristics were studied using the Hosmer and Lemeshow test and the power of discrimination &#40;AUC c-statistic&#41;&#46; The quadratic effects of the numerical variables and possible interactions were tested&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">All calculations were carried out using the SPSS 15&#46;0 and R statistical program&#44; setting significance to 0&#46;05&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Results</span><p id="par0075" class="elsevierStylePara elsevierViewall">A total of 102 cases and 221 controls were studied&#46; For each case&#44; between one and three controls were included from the same PCC&#44; matched for sex and age with an average of 2&#46;17 controls for each case&#46; The mean age of the cases was 77&#46;6 years and 75&#46;5 years for the controls&#44; with a difference of 2&#46;1 years between the two &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46; This difference is due to the case and control matching being &#177;5&#8239; years&#46; No significant differences regarding sex or other anthropometric variables were found&#44; although a high degree of overweight and obesity was observed&#46; Abdominal circumference and the presence of central obesity were significantly higher in the cases&#44; but no differences were found regarding the absolute value of the ankle-brachial index &#40;ABI&#41; nor the presence of a pathological ABI &#40;&#60;&#8239;0&#46;9&#41;&#46; Lastly&#44; both haemoglobin and haematocrit were significantly lower in the cases&#44; such that the prevalence of anaemia was significantly higher in the cases compared to the controls &#40;37&#46;3&#37; and 13&#46;3&#37;&#59; <span class="elsevierStyleItalic">p</span>&#8239;&#60;&#8239;&#46;001&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0080" class="elsevierStylePara elsevierViewall">With regard to the CRFs&#44; the cases showed a significant difference compared to the controls for current or previous tobacco use &#40;38&#46;2&#37; and 25&#46;4&#37;&#44; <span class="elsevierStyleItalic">p</span>&#8239;&#61;&#8239;&#46;020&#41;&#44; HTN &#40;85&#46;3&#37; and 70&#46;3&#37;&#59; <span class="elsevierStyleItalic">p</span>&#8239;&#61;&#8239;&#46;004&#41;&#44; hypercholesterolaemia &#40;71&#46;6&#37; and 51&#46;2&#37;&#59; <span class="elsevierStyleItalic">p</span>&#8239;&#61;&#8239;&#46;001&#41; and low HDL cholesterol levels &#40;34&#46;3&#37; and 19&#46;1&#37;&#44; <span class="elsevierStyleItalic">p</span>&#8239;&#61;&#8239;&#46;003&#41;&#46; On the other hand&#44; no significant differences were observed in the prevalence of obesity&#44; diabetes&#44; and family history of documented ischaemic heart disease&#46;</p><p id="par0085" class="elsevierStylePara elsevierViewall">In terms of disease history or comorbidities&#44; the cases presented a significantly higher percentage of chronic kidney disease &#40;CKD&#41; &#40;28&#46;4&#37; and 8&#46;1&#37;&#44; <span class="elsevierStyleItalic">p</span>&#8239;&#60;&#8239;&#46;001&#41;&#44; COPD &#40;18&#46;6&#37; and 11&#46;9&#37;&#44; other 11&#46;8&#37; and 7&#46;6&#37;&#44; <span class="elsevierStyleItalic">p</span>&#8239;&#61;&#8239;&#46;049&#41;&#44; CVA &#40;8&#46;8&#37; and 2&#46;4&#37;&#44; <span class="elsevierStyleItalic">p</span>&#8239;&#60;&#8239;&#46;002&#41; and carotid artery stenosis &#40;CS&#41; &#40;5&#46;9&#37; and 0&#46;5&#37;&#44; <span class="elsevierStyleItalic">p</span>&#8239;&#60;&#8239;&#46;002&#41;&#46; However&#44; there were no statistically significant differences with regard to history of peripheral artery disease&#44; endocrine disease or digestive disease&#46; In the cases group there were more instances of cardiology-related medical history compared to the controls&#44; and this group had a higher frequency of prior episodes of AMI &#40;<span class="elsevierStyleItalic">p</span>&#8239;&#60;&#8239;&#46;001&#41; and prior cardiology intervention &#40;<span class="elsevierStyleItalic">p</span>&#8239;&#60;&#8239;&#46;001&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46;</p><p id="par0090" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> shows the result of the multiple logistic regression model for the CRFs&#46; A statistically significant association was found between severe symptomatic AS and the following CRFs &#40;AOR&#8239;&#61;&#8239;2&#46;67&#59; 95&#37; CI&#58; 1&#46;54&#8722;4&#46;64&#41;&#44; tobacco use &#40;AOR&#8239;&#61;&#8239;2&#46;60&#59; 95&#37; CI&#58; 1&#46;48&#8722;4&#46;58&#41;&#44; HTN &#40;AOR&#8239;&#61;&#8239;2&#46;41&#59; 95&#37; CI&#58; 1&#46;23&#8722;4&#46;72&#41;&#44; low HDL cholesterol levels &#40;AOR&#8239;&#61;&#8239;2&#46;20&#59; 95&#37; CI&#58; 1&#46;25&#8722;3&#46;88&#41; and age &#40;AOR&#8239;&#61;&#8239;1&#46;08&#59; 95&#37; CI&#58; 1&#46;03&#8722;1&#46;13&#41;&#46; In <a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#44; the diagnostic efficacy curve &#40;Receiver Operating Characteristic &#91;ROC&#93;&#41; of the logistic regression model for the CRFs showed good discrimination &#40;0&#46;74&#59; 0&#46;68&#8722;0&#46;80&#41; of the association between the various CRFs and AS&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0095" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows the results of the multiple logistic regression model for comorbidities&#44; where a statistically significant association was found between severe symptomatic AS and the following comorbidities&#58; carotid artery disease &#40;AOR&#8239;&#61;&#8239;14&#46;5&#59; 95&#37; CI&#58; 1&#46;61&#8722;129&#41;&#44; CVA &#40;AOR&#8239;&#61;&#8239;4&#46;14&#59; 95&#37; CI&#58; 1&#46;20&#8722;14&#46;2&#41; and CKD &#40;AOR&#8239;&#61;&#8239;3&#46;78&#59; 95&#37; CI&#58; 1&#46;88&#8722;7&#46;59&#41;&#46; On the contrary&#44; haemoglobin levels were inversely associated with severe AS &#40;AOR&#8239;&#61;&#8239;0&#46;76&#59; 95&#37; CI&#58; 0&#46;65&#8722;0&#46;90&#59; <span class="elsevierStyleItalic">p</span>&#8239;&#60;&#8239;&#46;001&#41;&#46; <a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a> shows that the comorbidities logistic regression model ROC curve presented an area under the curve of 0&#46;74 &#40;0&#46;68&#8722;0&#46;80&#41;&#44; such that this model showed good discrimination&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><elsevierMultimedia ident="fig0010"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Discussion</span><p id="par0100" class="elsevierStylePara elsevierViewall">This study made it possible to confirm that CRFs associated with ischaemic heart disease &#40;hypertension&#44; hypercholesterolaemia and low HDL levels&#41; are also risk factors for AS&#46; Comparably to the Framingham study&#44; they all present an OR of between two and three and could have a predictive risk value in patients over the age of 65&#46; The study also shows that AS is associated with comorbidities &#40;very specifically with carotid artery stenosis&#44; CVA and kidney disease&#41; that could be risk markers&#46; Given the high prevalence of AS in the elderly and the current aging population&#44; this study presents significant practical applications&#46;<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">18</span></a></p><p id="par0105" class="elsevierStylePara elsevierViewall">One epidemiological study explored the relationship between CRFs and the severity of CAVD in a patient group similar to ours&#46; This study noted that age&#44; tobacco use&#44; HTN&#44; abdominal circumference and ABI&#8239;&#60;&#8239;0&#46;9 presented a statistically significant association with CAVD&#46; On the other hand&#44; the multivariate analysis from the <span class="elsevierStyleItalic">Helsinki Ageing Study</span> showed that only age&#44; HTN&#44; and a low BMI were associated with aortic valve calcification&#44; and that age and serum calcium levels were the only factors associated with AS&#46; Lastly&#44; the epidemiological data from the <span class="elsevierStyleItalic">Cardiovascular Health Study</span> showed that age&#44; male sex&#44; and lipoprotein &#40;a&#41; strongly correlated with CAVD or AS prevalence&#44; and that history of HTN&#44; current tobacco use&#44; LDL cholesterol and height were&#44; to a lesser degree&#44; associated with the presence of CAVD or AS&#46; In addition&#44; in the bivariate analysis&#44; a statistically significant inverse association with HDL cholesterol levels was observed&#44; in line with our results&#46;<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">6&#44;7&#44;14</span></a></p><p id="par0110" class="elsevierStylePara elsevierViewall">Regarding comorbidities associated with severe AS&#44; it must be borne in mind that some share CRFs in their etiopathogenesis and these comorbidities may be related&#44; from a pathophysiological point of view&#44; to the development and evolution of AS&#46;</p><p id="par0115" class="elsevierStylePara elsevierViewall">In the multivariate analysis&#44; Ferreira-Gonz&#225;lez et al&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a> showed that CAVD was associated with moderate-severe kidney disease&#44; but not mild-moderate disease&#46; In fact&#44; since kidney disease leads to rapid development of atherosclerosis&#44; they state that this could explain how kidney disease is associated with advanced stages of CAVD&#46; Our study found an association between CKD and AS&#46; On the contrary&#44; other studies did not observe any association in the multivariate analysis between an estimated glomerular filtration rate&#8239; &#60;&#8239;60&#8239;mL&#47;min&#47;1&#46;73&#8239;m<span class="elsevierStyleSup">2</span> and CAVD&#44; nor between creatinine levels and AS progression&#46; In this sense&#44; the <span class="elsevierStyleItalic">Framingham Offspring Study</span> did not find a statistically significant association between CKD and aortic sclerosis or aortic annular calcification either&#46; Indeed&#44; the relationship between CKD and significant valve calcification &#40;mitral and aortic&#41; was notably diminished after adjusting for the CRFs in the multivariate analysis&#46; The authors suggest that the risk factors shared by chronic kidney disease and valve calcification could partially explain the prevalence of valve calcification in chronic kidney disease&#46;<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">6&#44;9&#44;10&#44;19</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">20</span></a></p><p id="par0120" class="elsevierStylePara elsevierViewall">With regard to atherosclerosis or carotid artery stenosis&#44; we did not find any studies evaluating their association with CAVD or AS in a logistic regression model&#46; There are studies evaluating other types of associations&#44; such as a multivariate analysis that observed that the predictors for haemodynamically significant carotid artery stenosis in a screening with carotid artery Doppler ultrasound prior to valvular heart surgery include age &#40;&#8805;&#8239;75&#8239; years&#41;&#44; aortic valve disease&#44; chronic kidney disease&#44; and peripheral vascular disease&#46;<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a></p><p id="par0125" class="elsevierStylePara elsevierViewall">In terms of the association between CVA and CAVD or AS&#44; it is worth mentioning that Ferreira et al&#46; also observed a statistically significant association between CVA and CAVD that did not hold up in the multinomial logistic regression&#46; This could be due in part to the fact that AS may be a risk factor for CVA &#40;and not the reverse&#41;&#44; or that CVA shares CRFs with AS and&#44; therefore&#44; is not a true risk factor for AS&#46; This same explanation could hold true for the other comorbidities analysed in our study&#46;<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">6&#44;22&#8211;27</span></a></p><p id="par0130" class="elsevierStylePara elsevierViewall">Both haemoglobin and haematocrit levels were significantly lower in the cases compared to the controls and&#44; consequently&#44; a higher prevalence of anaemia was observed in the cases&#46; The potential association with anaemia and kidney disease&#44; and its possible confounding role&#44; was neutralised by introducing the two variables into the final comorbidities multivariate model&#46; Multiple epidemiological studies have associated a high prevalence of anaemia with the presence&#44; severity&#44; and poorer prognosis of AS&#46; Likewise&#44; the high prevalence of anaemia may affect the patient&#8217;s perceived quality of life and health status given that&#44; in elderly patients in particular&#44; anaemia is associated with lower scores on quality of life questionnaires and a greater risk of hospitalisation and falls&#46;<a class="elsevierStyleCrossRefs" href="#bib0140"><span class="elsevierStyleSup">28&#8211;30</span></a></p><p id="par0135" class="elsevierStylePara elsevierViewall">AS is a silent disease of slow onset that is often diagnosed only upon the appearance of symptoms that affect the patient&#8217;s quality of life&#46; Identifying risk factors and comorbidities associated with severe AS could facilitate the creation of predictive models for patient identification and follow-up and reduce diagnostic &#40;based on auscultation&#44; medical history&#44; and potential ultrasound scan&#41; and therapeutic delay&#44; thereby improving patient prognosis and quality of life&#46; Of the predictive value of the comorbidities&#44; specifically&#44; the potential for AS presentation in patients with carotid artery stenosis and CKD should be considered&#46; Lastly&#44; preventing exposure to risk factors at the population level could have a multiplying effect for other chronic diseases that share the same risk factors and could directly affect the reduction of morbidity and mortality&#46; In fact&#44; in a population study carried out in Sweden between 1989 and 2009&#44; a decrease in the incidence of AS and improvements to disease prognosis were observed&#44; suggesting that this is due to better management of risk factors together with adequate treatment&#46;<a class="elsevierStyleCrossRefs" href="#bib0075"><span class="elsevierStyleSup">15&#44;31</span></a></p><p id="par0140" class="elsevierStylePara elsevierViewall">This study presents some limitations&#46; Some cases that were candidates for participation in the study may have died and this could result in bias&#44; with patients with better prognoses being overrepresented&#46; This could bias the results towards a null hypothesis&#44; reinforcing the value of the detected factors&#46; In the same manner&#44; the controls could be potential undiagnosed cases given that AS may not have any clinical signs and symptoms&#44; even in advanced stages&#46; This assumption would also bias the results towards the null hypothesis&#44; therefore the detection of any risk factor would be further reinforced in this situation&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">Regarding the sample size&#44; it was not possible to select three controls for some of the cases and the final sample was somewhat smaller than expected &#40;221 compared to 261&#41;&#44; which reduced the statistical power and precision of the study&#46; The age of the controls was 2&#46;1 years younger than the cases because they were matched&#8239; &#177;5&#8239; years&#46; Regardless&#44; the absolute number of years is not considered to be very high&#44; and this variable was taken into account in all the logistic regression models to neutralise its potentially confounding role&#46; Likewise&#44; given that the controls were patients seen in a primary care setting&#44; it is plausible that they may present a slightly higher prevalence of comorbidities than the non-selected general population&#44; which could also lead to skewing the results towards the null hypothesis&#46; In addition&#44; due to the nature of the observational study&#44; no causal relationships between CRFs and cases of severe AS can be inferred&#46; The fact that the study was limited to individuals over the age of 65 could influence the magnitude of the association between CRFs and severe AS&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">The results of the regression were obtained from the patients who provided all the data&#46; In the case of the regression analysis determining the effect of haemoglobin&#44; 7&#46;7&#37; of patients recorded no data&#44; meaning the regression results omitted the profile of said 7&#46;7&#37; of patients&#46; Such limitation may or may not introduce a potential bias that the authors consider unlikely taking into account the fact that we don&#8217;t believe there are differing characteristics between the patients who did or did not record the datum of interest&#46;</p><p id="par0155" class="elsevierStylePara elsevierViewall">Lastly&#44; it may not be possible to extrapolate the results to other geographic areas&#46;</p><p id="par0160" class="elsevierStylePara elsevierViewall">With this study&#44; we were able to quantify the role of the risk factors and comorbidities that accompany severe AS&#46; Identifying patients at greater risk of developing this disease makes it possible to reduce the time to diagnosis and treatment&#44; thereby improving patient quality of life&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Conclusions</span><p id="par0165" class="elsevierStylePara elsevierViewall">The CRFs tobacco use&#44; HTN&#44; hypercholesterolaemia&#44; and low HDL cholesterol levels are associated with severe AS in people&#8239; &#8805;&#8239;65&#8239; years&#46;</p><p id="par0170" class="elsevierStylePara elsevierViewall">Chronic kidney disease&#44; cerebrovascular accident&#44; and carotid artery stenosis are comorbidities that are associated with severe AS in people&#8239; &#8805;&#8239;65&#8239; years and are also inversely associated with haemoglobin levels&#46;</p><p id="par0175" class="elsevierStylePara elsevierViewall">Compared to previous studies&#44; this study made it possible to quantify the role of the risk factors and comorbidities that accompany severe AS and that would facilitate the identification of patients at greater risk of developing the disease&#46; This could reduce diagnostic and therapeutic delays and with this&#44; improve patient quality of life&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Funding</span><p id="par0180" class="elsevierStylePara elsevierViewall">This study has been partially funded by the <span class="elsevierStyleGrantSponsor" id="gs0005">Clinical Trials and Research Unit of the Cardiology Service at Hospital Arnau de Vilanova</span> in Lleida &#40;Spain&#41;&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Conflicts of interest</span><p id="par0185" class="elsevierStylePara elsevierViewall">The authors declare that they do not have any conflicts of interest&#46;</p></span></span>"
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        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Background and objective</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Aortic stricture &#40;AS&#41; is one of the most prevalent cardiovascular diseases in individuals 65 years of age or older&#46; A number of epidemiological studies have suggested that certain cardiovascular risk factors &#40;CRFs&#41; and comorbidities could be associated with AS&#46; The aim of this study was to evaluate the association between CRFs and comorbidities and severe symptomatic AS in individuals 65 years of age or older in a Spanish healthcare region&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Patients and methods</span><p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">We conducted an epidemiological case-control study from a single primary care centre&#46; We collected information on exposure to CRFs and comorbidities and determined their association with AS&#44; employing adjusted odds ratios &#40;OR&#41; and multiple logistic regression models&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">The study included 102 cases &#40;mean age&#44; 77&#46;6 years&#41; and 221 controls &#40;mean age&#44; 75&#46;5 years&#41;&#46; The CRFs significantly associated with severe symptomatic AS were hypercholesterolaemia &#40;OR&#44; 2&#46;67&#59; <span class="elsevierStyleItalic">p</span>&#8239;&#60;&#8239;&#46;001&#41;&#44; tobacco use &#40;OR&#44; 2&#46;60&#59; <span class="elsevierStyleItalic">p</span>&#8239;&#60;&#8239;&#46;001&#41;&#44; hypertension &#40;OR&#44; 2&#46;41&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleItalic">&#8239;</span>&#61;&#8239;&#46;010&#41; and low HDL cholesterol readings &#40;OR&#44; 2&#46;20&#59; <span class="elsevierStyleItalic">p</span>&#8239;&#61;&#8239;&#46;007&#41;&#46; The comorbidities significantly associated with severe symptomatic AS were carotid stenosis &#40;OR&#44; 14&#46;5&#59; <span class="elsevierStyleItalic">p</span>&#8239;&#61;&#8239;&#46;017&#41;&#44; stroke &#40;OR&#44; 4&#46;14&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleItalic">&#8239;</span>&#61;&#8239;&#46;024&#41;&#44; chronic renal failure &#40;OR&#44; 3&#46;78&#59; <span class="elsevierStyleItalic">p</span>&#8239;&#60;&#8239;&#46;001&#41; and low haemoglobin levels &#40;OR&#44; 0&#46;76&#59; <span class="elsevierStyleItalic">p</span>&#8239;&#60;&#8239;&#46;001&#41;&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Hypercholesterolaemia&#44; tobacco use&#44; arterial hypertension and low HDL cholesterol levels are the CRFs with a greater risk of severe AS&#46; Furthermore&#44; this disease is associated with a number of comorbidities &#40;chronic renal failure&#44; stroke&#44; carotid stenosis and low haemoglobin levels&#41;&#44; which could be markers of AS&#46;</p></span>"
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        "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Antecedentes y objetivo</span><p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">La estenosis a&#243;rtica &#40;EA&#41; es una de las enfermedades cardiovasculares m&#225;s prevalentes en &#8805;65 a&#241;os&#46; Algunos estudios epidemiol&#243;gicos sugieren que ciertos factores de riesgo cardiovascular &#40;FRCV&#41; y comorbilidades pueden estar asociados con la EA&#46; El objetivo del estudio es evaluar la asociaci&#243;n de FRCV y comorbilidades con la EA grave sintom&#225;tica en &#8805;65 a&#241;os en una regi&#243;n sanitaria espa&#241;ola&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Pacientes y m&#233;todos</span><p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Se realiz&#243; un estudio epidemiol&#243;gico de casos y controles procedentes del mismo centro de atenci&#243;n primaria&#46; Se recogi&#243; informaci&#243;n sobre la exposici&#243;n a FRCV y comorbilidades y se determin&#243; la asociaci&#243;n de ambos con la EA con <span class="elsevierStyleItalic">odds ratio</span> ajustadas &#40;ORa&#41;&#44; mediante modelos de regresi&#243;n log&#237;stica m&#250;ltiple&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Se incluyeron un total de 102 casos &#40;edad media&#8239;&#61;&#8239;77&#44;6 a&#241;os&#41; y 221 controles &#40;edad media&#8239;&#61;&#8239;75&#44;5 a&#241;os&#41;&#46; Los FRCV significativamente asociados con la EA grave sintom&#225;tica fueron hipercolesterolemia &#40;ORa&#8239;&#61;&#8239;2&#44;67&#59; p&#8239;&#60;&#8239;0&#44;001&#41;&#44; tabaquismo &#40;ORa&#8239;&#61;&#8239;2&#44;60&#59; p&#8239;&#60;&#8239;0&#44;001&#41;&#44; hipertensi&#243;n &#40;ORa&#8239;&#61;&#8239;2&#44;41&#59; p&#8239;&#61;&#8239;0&#44;010&#41; y cifras bajas de colesterol-HDL &#40;ORa&#8239;&#61;&#8239;2&#44;20&#59; p&#8239;&#61;&#8239;0&#44;007&#41;&#46; Las comorbilidades significativamente asociadas con la EA grave sintom&#225;tica fueron estenosis carot&#237;dea &#40;ORa&#8239;&#61;&#8239;14&#44;5&#59; p&#8239;&#61;&#8239;0&#44;017&#41;&#44; accidente vascular cerebral &#40;ORa&#8239;&#61;&#8239;4&#44;14&#59; p&#8239;&#61;&#8239;0&#44;024&#41;&#44; insuficiencia renal cr&#243;nica &#40;ORa&#8239;&#61;&#8239;3&#44;78&#59; p&#8239;&#60;&#8239;0&#44;001&#41; y bajos niveles de hemoglobina &#40;ORa&#8239;&#61;&#8239;0&#44;76&#59; p&#8239;&#60;&#8239;0&#44;001&#41;&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">La hipercolesterolemia&#44; el tabaquismo&#44; la hipertensi&#243;n arterial y los niveles bajos de colesterol-HDL son los FRCV que comportan mayor riesgo de EA grave&#46; Asimismo&#44; esta enfermedad se asocia con algunas comorbilidades &#40;insuficiencia renal cr&#243;nica&#44; accidente vascular cerebral&#44; estenosis carot&#237;dea y niveles de hemoglobina m&#225;s bajos&#41; que podr&#237;an ser marcadores de EA&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "abst0025"
            "titulo" => "Antecedentes y objetivo"
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          1 => array:2 [
            "identificador" => "abst0030"
            "titulo" => "Pacientes y m&#233;todos"
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          2 => array:2 [
            "identificador" => "abst0035"
            "titulo" => "Resultados"
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          3 => array:2 [
            "identificador" => "abst0040"
            "titulo" => "Conclusiones"
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      0 => array:2 [
        "etiqueta" => "&#9734;"
        "nota" => "<p class="elsevierStyleNotepara" id="npar0090">Please cite this article as&#58; Gracia Baena JM&#44; Calaf Vall I&#44; Zielonka M&#44; Marsal Mora JR&#44; Godoy P&#44; Worner Diz F&#46; Factores de riesgo y comorbilidades asociadas a la estenosis a&#243;rtica grave&#58; estudio de casos y controles&#46; Rev Clin Esp&#46; 2021&#59;221&#58;249&#8211;257&#46;</p>"
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          "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">ROC curve of the multivariate logistic regression model for cardiovascular risk factors&#46; ROC&#8239;&#61;&#8239;0&#46;74 &#40;0&#46;68&#8211;0&#46;80&#41;&#46;</p>"
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          "en" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">ROC curve of the multivariate logistic regression model for comorbidities&#46; ROC&#8239;&#61;&#8239;0&#46;74 &#40;0&#46;68&#8211;0&#46;80&#41;&#46;</p>"
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          "leyenda" => "<p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">ABI&#58; ankle-brachial index&#59; AMI&#58; acute myocardial infarction&#59; BMI&#58; body mass index&#59; CAS&#58; carotid artery stenosis&#59; CKD&#58; chronic kidney disease&#59; COPD&#58; chronic obstructive pulmonary disease&#59; CVA&#58; cerebrovascular accident&#59; HDL&#58; high-density lipoprotein&#59; SD&#58; standard deviation&#59; TIA&#58; transient ischemic attack&#46;</p><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Central obesity is defined as abdominal circumference&#8239; &#62;&#8239;102&#8239;cm in men and &#62;88&#8239;cm in women&#59; anaemia prevalence is defined as haemoglobin levels&#8239; &#60;&#8239;13&#8239;g&#47;dL in men and &#60;&#8239;12&#8239;g&#47;dL in women&#46;</p>"
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                  \t\t\t\t">29&#8239;&#177;&#8239;3&#46;9<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">28&#46;4&#8239;&#177;&#8239;4&#46;5<a class="elsevierStyleCrossRef" href="#tblfn0040"><span class="elsevierStyleSup">g</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#46;335&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">43 &#40;43&#46;4&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">96 &#40;46&#46;6&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0040"><span class="elsevierStyleSup">g</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">38 &#40;38&#46;4&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">67 &#40;32&#46;5&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0040"><span class="elsevierStyleSup">g</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">102&#46;9&#8239;&#177;&#8239;11&#46;1<a class="elsevierStyleCrossRef" href="#tblfn0045"><span class="elsevierStyleSup">h</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;003<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Central obesity&#44; n &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">45 &#40;83&#46;3&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">c</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">109 &#40;67&#46;3&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0045"><span class="elsevierStyleSup">h</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;024<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">ABI&#44; mean&#8239;&#177;&#8239;SD</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;1&#8239;&#177;&#8239;0&#46;2<a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">d</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;1&#8239;&#177;&#8239;0&#46;2<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;622&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">ABI&#8239;&#60;&#8239;0&#46;9&#44; n &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5 &#40;8&#46;9&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">d</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">15 &#40;15&#46;2&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;267&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Haemoglobin &#40;mean&#8239;&#177;&#8239;SD&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13&#8239;&#177;&#8239;1&#46;8<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&#46;4&#8239;&#177;&#8239;3&#46;7<a class="elsevierStyleCrossRef" href="#tblfn0050"><span class="elsevierStyleSup">i</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;&#8239;&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Haematocrit &#40;mean&#8239;&#177;&#8239;SD&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">39&#46;9&#8239;&#177;&#8239;5&#46;1<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">42&#46;4&#8239;&#177;&#8239;5&#46;3<a class="elsevierStyleCrossRef" href="#tblfn0055"><span class="elsevierStyleSup">j</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;&#8239;&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Cardiovascular risk factors</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Tobacco use &#40;current or previous&#41;&#44; n &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">39 &#40;38&#46;2&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53 &#40;25&#46;4&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0060"><span class="elsevierStyleSup">k</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;020<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">History of hypertension&#44; n &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">87 &#40;85&#46;3&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">147 &#40;70&#46;3&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0060"><span class="elsevierStyleSup">k</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;004<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">History of hypercholesterolaemia&#44; n &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">73 &#40;71&#46;6&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">107 &#40;51&#46;2&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0060"><span class="elsevierStyleSup">k</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">History of low HDL&#44; n &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">35 &#40;34&#46;3&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40 &#40;19&#46;1&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0060"><span class="elsevierStyleSup">k</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;003<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">History of diabetes&#44; n &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">34 &#40;33&#46;7&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0035"><span class="elsevierStyleSup">f</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">59 &#40;28&#46;8&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0065"><span class="elsevierStyleSup">l</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;383&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">History of obesity&#44; n &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">44 &#40;43&#46;1&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">71 &#40;34&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0060"><span class="elsevierStyleSup">k</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;116&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Family history of ischaemic heart disease&#44; n &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;833&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">89 &#40;89&#46;9&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">186 &#40;91&#46;6&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0070"><span class="elsevierStyleSup">m</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Unsure&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2 &#40;2&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0070"><span class="elsevierStyleSup">m</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Yes &#40;documented&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#40;8&#46;1&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">17 &#40;8&#46;4&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0070"><span class="elsevierStyleSup">m</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Disease history</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Nephrological history &#40;CRF&#41;&#44; n &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">29 &#40;28&#46;4&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">17 &#40;8&#46;1&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0075"><span class="elsevierStyleSup">n</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;&#8239;&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">History of respiratory disease&#44; n &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;049<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">71 &#40;69&#46;6&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">169 &#40;80&#46;5&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0075"><span class="elsevierStyleSup">n</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>COPD&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">19 &#40;18&#46;6&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25 &#40;11&#46;9&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0075"><span class="elsevierStyleSup">n</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Other&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12 &#40;11&#46;8&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16 &#40;7&#46;6&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0075"><span class="elsevierStyleSup">n</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Neurological history&#44; n &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;002<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">90 &#40;88&#46;2&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">179 &#40;85&#46;2&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0075"><span class="elsevierStyleSup">n</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>TIA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2 &#40;2&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4 &#40;1&#46;9&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0075"><span class="elsevierStyleSup">n</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>CVA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9 &#40;8&#46;8&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5 &#40;2&#46;4&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0075"><span class="elsevierStyleSup">n</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Other&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1 &#40;1&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22 &#40;10&#46;5&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0075"><span class="elsevierStyleSup">n</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">History of carotid artery disease &#40;CAD&#41;&#44; n &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6 &#40;5&#46;9&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1 &#40;0&#46;5&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0075"><span class="elsevierStyleSup">n</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;002<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">History of peripheral artery disease&#44; n &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3 &#40;2&#46;9&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">e</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9 &#40;4&#46;3&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0075"><span class="elsevierStyleSup">n</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;562&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">AMI&#44; n &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">Low HDL cholesterol levels&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">Sex &#40;female&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">1&#46;69 &#40;0&#46;88&#8722;3&#46;20&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">4&#46;14 &#40;1&#46;20&#8722;14&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">&#46;024<a class="elsevierStyleCrossRef" href="#tblfn0085">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">Carotid artery disease &#40;CAD&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13&#46;06 &#40;1&#46;55&#8722;110&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;018<a class="elsevierStyleCrossRef" href="#tblfn0085">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&#46;5 &#40;1&#46;61&#8722;129&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;017<a class="elsevierStyleCrossRef" href="#tblfn0085">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                            3 => "J&#46; Nilsson"
                            4 => "J&#46;G&#46; Smith"
                            5 => "K&#46; Sundquist"
                          ]
                        ]
                      ]
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                  ]
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                    0 => array:2 [
                      "doi" => "10.1161/CIRCULATIONAHA.114.012906"
                      "Revista" => array:6 [
                        "tituloSerie" => "Circulation"
                        "fecha" => "2015"
                        "volumen" => "131"
                        "paginaInicial" => "988"
                        "paginaFinal" => "994"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/25779541"
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        "identificador" => "xack529723"
        "titulo" => "Acknowledgments"
        "texto" => "<p id="par0190" class="elsevierStylePara elsevierViewall">The authors thank the nurses from the Clinical Trials and Research Unit of the Cardiology Service at Hospital Arnau de Vilanova in Lleida &#40;Spain&#41; for their collaboration in collecting clinical data&#46; They would also like to recognise Dr Alba G&#243;mez for the writing and editing of this article&#46;</p>"
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      ]
    ]
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Article information

ISSN: 22548874
Original language: English

DOI:10.1016/j.rceng.2020.01.009

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