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"textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Background</span><p id="par0005" class="elsevierStylePara elsevierViewall">Treatment for acute heart failure (HF) is currently based on the use of diuretics, which, in addition to reducing pulmonary congestion, increase the hemoconcentration the larger the dosage, a phenomenon that is usually associated with intense renal function impairment. It is therefore surprising that, when the results of ESCAPE (Evaluation Study of Congestive Heart Failure and Pulmonary Artery Catheterization Effectiveness) were presented, a reduction was observed in the risk of mortality at 6 months after hospitalization for patients with HF and high hemoconcentrations.<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">1</span></a> Although these mortality results were not confirmed in a larger patient series,<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">2</span></a> the results were corroborated by the <span class="elsevierStyleItalic">post hoc</span> study of the PROTECT (Placebo-Controlled Randomized Study of the Selective Adenosine A1 Receptor Antagonist Rolofylline for Patients Hospitalized with Acute Decompensated Heart Failure and Volume Overload to Assess Treatment Effect on Congestion and Renal Function)<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">3</span></a> and EVEREST (Efficacy of Vasopressin Antagonism in Heart Failure: Outcome Study With Tolvaptan) studies<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">4</span></a> and in the Korean Heart Failure Registry.<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">5</span></a> All of these studies focused on the degree of hemoconcentration achieved during hospitalization, which is when there is the greatest decongestion within the shortest time. However, in daily clinical practice, many patients do not achieve their optimal dry weight by the time of discharge. Knowing the optimal moment for determining the increased hemoconcentration state in HF after an acute episode is therefore not possible.<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">6</span></a> The aim of our study was to assess, in real-world clinical practice, whether a greater degree of hemoconcentration, measured during the 3 months of follow-up from discharge following an episode of acute HF, has prognostic value for mortality and readmission for cardiovascular reasons during the first year after the hospitalization.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Methods</span><p id="par0010" class="elsevierStylePara elsevierViewall">The study patients were included in the National Heart Failure Registry (RICA), created by the Heart Failure and Atrial Fibrillation workgroup of the Spanish Society of Internal Medicine. This is a registry of patients diagnosed with HF according to the criteria of the European Society of Cardiology.<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">7</span></a> The patients of this registry were prospectively included from 52 public and private Spanish hospitals. The previously published study protocol<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">8</span></a> was approved by the Ethics Committee of the University Hospital Reina Sofia of Cordoba, Spain. The patient's informed consent was needed for their inclusion in the registry, fulfilling the requirements of the Ethics Committee of each participating hospital. The study was conducted according to the ethical guidelines of the 1975 Declaration of Helsinki. Patient inclusion in the registry started in March 2008, and data for this study was extracted in May 2015. At the time, 2959 cases had been recorded with a follow-up of 1 year. A total of 507 individuals were excluded from the study due to a lack of hemoglobin (Hb) readings during the 3-month follow-up visit after the hospitalization for acute HF. A further 793 patients met one or more of the study's exclusion criteria: 45 had hepatic cirrhosis; 266 presented an estimated glomerular filtration rate <30<span class="elsevierStyleHsp" style=""></span>mL/min; based on the Modification of Diet in Renal Disease (MDRD) equation,<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">9</span></a> 558 patients underwent additional treatment with exogenous erythropoietin or iron during the 3 months after the initial decompensation; in that same period, another 61 patients underwent transfusions of red blood cell concentrates. There were 2 or more reasons for excluding 164 patients.</p><p id="par0015" class="elsevierStylePara elsevierViewall">To determine the hemoconcentration state, we used the difference between the whole blood hemoglobin values in month 3 and during admission for acute HF. The study population was distributed according to the increase in hemoglobin values, expressed as a percentage. For the purposes of the study, we considered that the hemoconcentration group fell within the upper quartile of this distribution.</p><p id="par0020" class="elsevierStylePara elsevierViewall">The procedure was as follows:<ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">1)</span><p id="par0025" class="elsevierStylePara elsevierViewall">hemoglobin level (Hb) at month 3<span class="elsevierStyleHsp" style=""></span>−<span class="elsevierStyleHsp" style=""></span>Hb at admission<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>difference in Hb (DHb) in g/dL.</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">2)</span><p id="par0030" class="elsevierStylePara elsevierViewall">(DHb<span class="elsevierStyleHsp" style=""></span>×<span class="elsevierStyleHsp" style=""></span>100)/Hb at admission<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>DHb expressed as a percentage (DHb%)</p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">3)</span><p id="par0035" class="elsevierStylePara elsevierViewall">The patients were grouped in quartiles according to DHb%, with the hemoconcentration group in the upper quartile, which corresponded to 25% of the sample with the greatest increase in hemoglobin levels. The cohorts of quartiles were defined and distributed as follows: 1st quartile, DHb between −85% and 5.5% (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>465); 2nd quartile, DHb between −5.5% and 1.5% (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>464); 3rd quartile, DHb between 1.5% and 9.9% (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>425); and 4th quartile, DHb >9.9% (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>305 cases).</p></li></ul></p><p id="par0040" class="elsevierStylePara elsevierViewall">During the admission for HF, data of known prognostic value were collected for each case: age and sex; history of hypertension, ischemic heart disease, atrial fibrillation and diabetes mellitus; body mass index, systolic blood pressure, heart rate and left ventricular ejection fraction (LVEF) measured with 2D echocardiography; natriuretic peptide B (BNP), NT-proBNP, troponin T, sodium and creatinine levels; estimated glomerular filtration rate; hemoglobin levels; and therapy with angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, beta-blockers, diuretics and digoxin. During the visit in month 3, the following data were recorded: hemoglobin, sodium and creatinine levels, weight, estimated renal filtration rate and drug therapy.</p><p id="par0045" class="elsevierStylePara elsevierViewall">The main variables of interest were readmission and mortality by cardiovascular cause or of any other nature. For the statistical analysis, we used SPSS software v.15.0, employing Student's t-test to compare the continuous variables with normal distribution and the chi-squared test to compare the categorical variables. To calculate the survival curves, we employed the Kaplan–Meier method and Cox regression analysis. We included the following variables: hemoconcentration, age, sex, systolic and diastolic blood pressure, diabetes, previous coronary artery disease, atrial fibrillation, NYHA functional class, body mass index, hemoglobin and sodium levels, estimated glomerular filtration rate, B-type natriuretic peptide levels and drug therapies. The results are expressed as relative risk (RR), with a 95% confidence interval (95% CI). In the multivariate analysis, we did not consider the variables that lacked more than 20% of the values. We considered significant all results with a <span class="elsevierStyleItalic">p</span>-value <.05.</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Results</span><p id="par0050" class="elsevierStylePara elsevierViewall">We studied 1659 patients with a mean age of 78.2 years (standard deviation, 8.9), 51% of whom were women. In the initial clinical characteristics established at admission (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>), the 305 patients with the highest degree of hemoconcentration presented less history of hypertension (80% <span class="elsevierStyleItalic">vs.</span> 85%; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.02), lower systolic blood pressure (134<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24 <span class="elsevierStyleItalic">vs.</span> 142<span class="elsevierStyleHsp" style=""></span>mmHg<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>28; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.001) and lower diastolic blood pressure (73.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14.4 <span class="elsevierStyleItalic">vs.</span> 78.5<span class="elsevierStyleHsp" style=""></span>mmHg<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>17.3; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.001). At admission, the hemoconcentration group showed slightly higher LVEF (51.6%<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14.8% <span class="elsevierStyleItalic">vs.</span> 49.5%<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15.7%; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.001) and lower hemoglobin levels (11.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.5 <span class="elsevierStyleItalic">vs.</span> 13.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.6<span class="elsevierStyleHsp" style=""></span>g/dL). At month 3, the only variable that had changed in the 2 groups (hemoconcentration and no hemoconcentration) was hemoglobin, which was the distinctive criterion.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0055" class="elsevierStylePara elsevierViewall">The mean follow-up duration from the first event was 294<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>233 days. During this period, 487 patients died (29.3%), 258 (15.5%) of whom died due to cardiovascular causes. During the same period, 1125 readmissions were recorded, 647 of which were caused by a new HF episode (38.9%).</p><p id="par0060" class="elsevierStylePara elsevierViewall">The Kaplan–Meier survival curve (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>) showed no significant differences in all-cause or cardiovascular mortality, according to the presence or absence of hemoconcentration (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.13 and <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.38, respectively). In the univariate regression analysis (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>), hemoconcentration did not achieve statistical significance as a factor of all-cause mortality or cardiovascular mortality: RR of 0.75 (95% CI 0.51–1.09; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.132) and RR of 0.80 (95% CI 0.48–1.34; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.389), respectively. However, age (RR, 1.02; 95% CI 1.00–1.04; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.04), an NYHA functional class of III (RR, 1.90; 95% CI 1.03–3.52; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.04) and the use of thiazide diuretics at admission (RR, 1.76; 95% CI 1.10–2.84, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.01) did have a prognostic value for all-cause death. Cardiovascular mortality was directly associated with the following factors at admission: age (RR, 1.03; 95% CI 1–1.05; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.04); a functional class of III (RR, 1.72; 95% CI 1.14–2.59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.01) and therapy with aldosterone antagonist diuretics (RR, 1.82; 95% CI 1.21–2.74; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.004) or digoxin (RR, 1.85; 95% CI 1.20–2.86; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.006), although not with thiazide diuretics.</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0065" class="elsevierStylePara elsevierViewall">Therapy with thiazide diuretics continued to have a poor prognostic value for all-cause mortality at month 3 but not for cardiovascular mortality. Serum creatinine levels exhibited a highly negative effect for this result (RR, 2.50; 95% CI 1.65–3.78; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.00).</p><p id="par0070" class="elsevierStylePara elsevierViewall">Hemoconcentration also had no significance as a predictor of readmission for any cause or for cardiovascular causes (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>), in contrast to serum creatinine levels and an NYHA functional class of II, in particular, which were shown to be a risk factor for readmission for cardiovascular causes (RR, 2.39; 95% CI 1.50–3.82; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.00). In terms of differential factors, we found that treatment with loop diuretics during hospitalization was a negative prognostic factor for all-cause readmission (RR, 1.43; 95% CI 1.10–1.87; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.008), while ongoing treatment with loop diuretics at month 3 was a negative prognostic factor for readmission for cardiovascular causes (RR, 1.76; 95% CI 1.18–2.60; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.005). The best prognostic factors for readmission for cardiovascular causes were therapy with ACEIs during the hospitalization (RR, 0.81; 95% CI 0.66–1.00; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.04) and hemoglobin values at 3 months (RR, 0.84; 95% CI 0.79–0.90; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.001).</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Discussion</span><p id="par0075" class="elsevierStylePara elsevierViewall">In the real-world conditions of patients enrolled in the RICA registry, we observed that neither an increased hemoconcentration at 3 months after an episode of acute HF nor glomerular filtration impairment influence the prognosis, in terms of morbidity and mortality, in the 12 months following the index admission. Our findings do not reproduce the results of previous studies that investigated the degree of hemoconcentration reached in the acute phase of an HF episode.<a class="elsevierStyleCrossRefs" href="#bib0080"><span class="elsevierStyleSup">1,3–5</span></a></p><p id="par0080" class="elsevierStylePara elsevierViewall">Unlike our study, the first published study included only those patients with reduced ejection fraction.<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">1</span></a> Accordingly, the study population showed differences in the use of drugs, a phenomenon not observed in those cohorts in which there was a larger proportion of patients with preserved ejection fraction, as happened in our case. Furthermore, the study by Testani et al.<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">1</span></a> is a <span class="elsevierStyleItalic">post hoc</span> analysis of the ESCAPE study cohort, designed to determine the safety and efficacy of therapy guided by the use of invasive monitoring of pulmonary arterial pressure with acute HF.<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">10</span></a> Additionally, the study's main episode included death by acute HF occurring during hospitalization or during the subsequent weeks, up to month 6 of follow-up.</p><p id="par0085" class="elsevierStylePara elsevierViewall">A third of the deaths occurred in the first 50 days. We can therefore consider that the degree of hemoconcentration reached during the hospitalization is a protective factor against early mortality after an acute HF event but not in the long term. These findings were subsequently confirmed in the <span class="elsevierStyleItalic">post hoc</span> analysis of the PROTECT<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">3</span></a> and EVEREST trials,<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">4</span></a> in which the follow-up period was extended to 9 months while simultaneously confirming that the greater the hemoconcentration the greater the decrease in natriuretic peptide levels. All of these studies were conducted with patients with depressed LVEF and in the context of a clinical trial designed to demonstrate the efficacy of a new drug strategy for treating acute HF.</p><p id="par0090" class="elsevierStylePara elsevierViewall">Three studies have been conducted in the real-world clinical context and included patients with preserved LVEF. The first of these studies included 295 patients (51% with an LVEF >40%) admitted to a university hospital over the course of a year, with a mean follow-up of 15 months.<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">2</span></a> Although the univariate analysis showed a better prognosis for the group with a higher degree of hemoconcentration, the statistical significance disappeared in the multivariate analysis. Although the authors attributed the observed discrepancies between their results and those of the ESCAPE trial to methodological differences, the inevitable question is, does hemoconcentration only benefit patients with depressed LVEF? It seems that the answer is no, given that the analysis of the Korean Heart Failure Registry, in which 32% of cases (from a total of 2357 patients) presented preserved LVEF, showed that a greater hemoconcentration was associated with increased survival over the course of the year after the hospitalization for HF, regardless of LVEF.<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">5</span></a> These authors have recently published an article stating that, in acute HF, hyponatremia during hospitalization exerts a negative effect on the benefits provided by hemoconcentration<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">11</span></a>; however, our study found no differences in mean sodium levels during the hospitalization and were only significant in the readmissions and in general but not in cardiovascular mortality (see tables). The discrepancies between the results of the various studies can be at least partly explained by the differences in the hemoconcentration criterion. A number of researchers, including us, employed increases in hemoglobin, while others used hematocrit values, and still others focused on albumin levels. In fact, given the studies that have indicated that up to 65% of patients with chronic HF without edema have a high plasma volume when measured with accurate techniques such as radiolabeled albumin,<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">12</span></a> all of the authors used indirect measures to calculate the plasma volume with low sensitivity.</p><p id="par0095" class="elsevierStylePara elsevierViewall">In recent decades, there has been a reduction in the average length of hospital stays for HF episodes,<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">13</span></a> which, in addition to the possibility of discharging patients before achieving a greater decongestion level and drug therapy optimization, leads us to the hypothesis that a degree of hemoconcentration maintained beyond hospitalization could correspond to a better prognosis and, accordingly, constitute a therapeutic strategy in the follow-up of HF. Our results do not confirm our hypothesis. Therefore, in light of recent publications, we should insist on measuring the hemoconcentration during the hospital stay. In a series of 845 patients (mean age, 63 years; 54% men; 34% with LVEF >40%), 50% of the patients had an increase in hemoglobin levels and baseline hematocrit during hospitalization. When we divided these patients into 2 groups based on when this increase occurred, we observed that only those who reached the higher hemoconcentration level in the second half of the hospitalization had better survival.<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">14</span></a></p><p id="par0100" class="elsevierStylePara elsevierViewall">In terms of our study's limitations, we should consider the fact that we performed an indirect calculation of the plasma volume. Therefore, by focusing only on hemoglobin values, the hemoconcentration could have been overestimated or underestimated. However, the group with higher hemoconcentration levels at 3 months had lower hemoglobin levels during hospitalization compared with the other series, which indicates that this criterion is a good marker of volume depletion in acute HF. This finding coincides with the data from the Korean cohort<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">5</span></a> and differs from those of the ESCAPE<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">1</span></a> and PROTECT trials.<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">3</span></a> Another limitation is that a common protocol for using diuretics was not followed in all registered centers, either during hospitalization or during the 3-month follow-up. Despite these limitations, we consider that our data provide greater consistency to the results of Testani et al. in terms of the most appropriate time to assess the hemoconcentration of patients with HF and its effects on the prognosis at the end of the hospitalization.<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">14</span></a> The multicenter Safety and Efficacy of the Combination of Loop with Thiazide-type Diuretics in Patients with Decompensated Heart Failure (CLOROTIC) clinical trial<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">15</span></a> on the use of diuretics in acute HF, sponsored by the Spanish Society of Internal Medicine, could provide new evidence on the analysis of the short-term prognostic effect of hemoconcentration in the treatment of HF.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Conflicts of interest</span><p id="par0105" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflicts of interest.</p></span></span>"
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"resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Several studies have reported that a higher degree of hemoconcentration in patients admitted for the treatment of acute heart failure (HF) constitutes a favorable prognostic factor in the year following the index episode. The objective of this study was to evaluate whether the highest degree of hemoconcentration at 3 months after admission for HF is also a prognostic factor for mortality and/or readmission in the 12 months after admission.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Patients and method</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">The hemoconcentration group was the upper quartile of the sample distributed according to hemoglobin increase at month 3 after discharge with respect to hemoglobin at the time of admission for HF in a multicenter prospective cohort of 1659 subjects with HF.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">The mean follow-up until the first event was 294 days, and a total of 487 deaths and 1125 readmissions were recorded. The hemoconcentration group had a lower risk of mortality or readmission for any cause (RR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.75, 95% CI: 0.51–1.09 and RR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.86, 95% CI: 0.70–1.05), although statistical significance was lost after multivariate analysis, while it was retained for other factors with recognized negative impact on the prognosis of patients with HF, such as age and functional class.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">The degree of hemoconcentration at 3 months after admission for HF is not prognostic of readmission or death in the subsequent year.</p></span>"
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"resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Objetivo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Diferentes estudios señalan que la consecución de una mayor hemoconcentración en pacientes ingresados por insuficiencia cardiaca (IC) aguda mejora el pronóstico a lo largo del año siguiente al episodio índice. El objetivo de este estudio es evaluar si el grado de hemoconcentración a los 3 meses tras el ingreso por IC también tiene valor pronóstico de reingreso y/o mortalidad en los 12 meses siguientes al ingreso.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Pacientes y método</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Cohorte prospectiva multicéntrica de 1.659 pacientes con IC. El grupo hemoconcentración (305 pacientes) se situó en el cuartil superior de la muestra distribuida en función del aumento de la hemoglobina en el mes 3 tras el alta con respecto a la hemoglobina en el ingreso por IC.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Seguimiento medio hasta el primer evento fue de 294 días, fallecieron 487 pacientes y reingresaron 1.125. El grupo hemoconcentración mostró un riesgo menor de mortalidad o de reingreso por cualquier causa (RR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,75; IC 95%: 0,51-1,09 y RR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,86; IC 95%: 0,70-1,05), si bien la significación estadística se perdió tras el análisis multivariado. Sin embargo, esta significación se mantuvo para otros factores con reconocido efecto negativo sobre el pronóstico en pacientes con IC, como son la edad y la clase funcional.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">El grado de hemoconcentración a los 3 meses tras el ingreso por IC no tiene valor pronóstico de reingreso o muerte en el año siguiente.</p></span>"
"secciones" => array:4 [
0 => array:2 [
"identificador" => "abst0025"
"titulo" => "Objetivo"
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1 => array:2 [
"identificador" => "abst0030"
"titulo" => "Pacientes y método"
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2 => array:2 [
"identificador" => "abst0035"
"titulo" => "Resultados"
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3 => array:2 [
"identificador" => "abst0040"
"titulo" => "Conclusiones"
]
]
]
]
"NotaPie" => array:1 [
0 => array:2 [
"etiqueta" => "☆"
"nota" => "<p class="elsevierStyleNotepara" id="npar0005">Please cite this article as: Grau Amorós J, Formiga F, Aramburu Bodas O, Armengou Arxe A, Conde Martel A, Quesada Simón MA, et al. Hemoconcentración como predictor de supervivencia al año de ingreso por insuficiencia cardiaca aguda en el registro RICA. Rev Clin Esp. 2019;219:1–9.</p>"
]
]
"apendice" => array:1 [
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"seccion" => array:1 [
0 => array:4 [
"apendice" => "<p id="par0115" class="elsevierStylePara elsevierViewall">Anarte L, Aramburu O, Arévalo-Lorido JC, Armengou A, Brase A, Carrascosa S, Carrera M, Casado J, Cerqueiro JM, Conde A, Dávila MF, Díez-Manglano J, Epelde F, Formiga F, Franco J, Gallego J, García-Escrivá D, González-Franco A, Grau J, Guisado ME, Herrero A, Llacer P, López-Castellanos G, Manzano L, Martínez-Zapico A, Montero-Pérez-Barquero M, Muela A, Oropesa R, Pérez-Bocanegra C, Pérez-Calvo JI, Pérez-Silvestre J, Quesada MA, Quirós R, Rodríguez-Ávila EE, Ruiz-Laiglesia F, Ruiz-Ortega R, Salamanca P, Sánchez-Marteles M, Satué JA, Serrado A, Suárez I, Trullàs JC.</p>"
"etiqueta" => "Appendix"
"titulo" => "Member of the RICA registry:"
"identificador" => "sec0030"
]
]
]
]
"multimedia" => array:4 [
0 => array:7 [
"identificador" => "fig0005"
"etiqueta" => "Figure 1"
"tipo" => "MULTIMEDIAFIGURA"
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"mostrarDisplay" => false
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0 => array:4 [
"imagen" => "gr1.jpeg"
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"descripcion" => array:1 [
"en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Kaplan–Meier mortality curves 1 year after the hospitalization for heart failure.</p>"
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"etiqueta" => "Table 1"
"tipo" => "MULTIMEDIATABLA"
"mostrarFloat" => true
"mostrarDisplay" => false
"detalles" => array:1 [
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"leyenda" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviations</span>: ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin II receptor blockers; BMI, body mass index; BNP, brain natriuretic peptide; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; HR, heart rate; IHD, ischemic heart disease; LVEF, left ventricular ejection fraction; NYHA, New York Heart Association; SBP, systolic blood pressure; SD, standard deviation.</p>"
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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="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Hemoconcentration</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">Yes \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">No \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Total</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">(<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>305) \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">(<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1354) \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">(<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1659) \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n
\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Age, years (± SD)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">78.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>8.9 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">78.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>8.9 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">78.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>8.9 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.860 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Women, n (%)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">163 (53) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">690 (51) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">853 (51) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.447 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Hypertension, n (%)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">243 (80) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1151 (85) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1394 (84) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.024 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">IHD, n (%)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">76 (25) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">293 (22) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">369 (22) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.223 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Diabetes, n (%)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">144 (47) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">564 (42) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">708 (43) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.084 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Atrial fibrillation, n (%)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">165 (54) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">734 (54) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">899 (54) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1000 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">NYHA I</span>, <span class="elsevierStyleItalic">n (%)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">27 (8.9) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">146 (11) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">173 (10.5) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.352 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">NYHA II</span>, <span class="elsevierStyleItalic">n (%)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">166 (55) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">758 (56) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">924 (56) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.655 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">NYHA III</span>, <span class="elsevierStyleItalic">n (%)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">105 (35) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">416 (31) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">521 (32) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.218 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">NYHA IV</span>, <span class="elsevierStyleItalic">n (%)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">5 (1.7) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">29 (2.1) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">34 (2.1) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.822 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">BMI, kg/m</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">(± SD)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">29.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>7.8 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">29.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>8.0 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">29.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>7.9 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.226 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">SBP, mmHg (± SD)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">134<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">142<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>28 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">140<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>27 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">DBP, mmHg (± SD)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">73.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14.4 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">78.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>17.3 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">77.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>16.9 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">HR, bpm (± SD)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">88<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24.9 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">90.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24.0 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">89.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24.2 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.126 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">LVEF, % (± SD)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">51.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14.8 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">49.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15.7 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">49.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15.6 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">BNP, pg/mL (± SD)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.445<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.952 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.111<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.343 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.168<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.280 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.393 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">NT-proBNP, pg/mL (± SD)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.691<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5.138 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">5.393<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>6.758 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">5.247<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>6.457 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.235 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Troponin T, pg/mL (± SD)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">11<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.0 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">24.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.6 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">22.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.3 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.593 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Sodium, mEq/L</span><span class="elsevierStyleItalic">(± SD)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">139<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.9 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">139.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.5 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">139.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.6 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.667 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Potassium, mEq/L (± SD)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.6 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.9 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.5 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.533 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Creatinine, mg/dL (± SD)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.4 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.4 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.4 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.830 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">eGFR, mL/min/1.73</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">m</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">(± SD)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">65.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>27.5 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">64.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>23.0 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">65<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>23.9 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.502 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Hemoglobin, g/dL (± SD)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">11.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.5 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">13.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.6 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">12.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.5 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">ACEI, n (%)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">134 (44) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">665 (49) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">799 (48) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.113 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">ARB, n (%)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">73 (24) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">378 (28) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">451 (27) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.176 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Beta-blockers, n (%)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">180 (59) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">780 (58) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">960 (58) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.700 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Digoxin, n (%)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">79 (26) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">304 (22) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">383 (23) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.201 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Loop diuretics, n (%)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">273 (90) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1172 (87) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1445 (87) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.186 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Aldosterone antagonists, n (%)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">97 (32) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">398 (29) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">495 (30) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.407 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Thiazides, n (%)</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">27 (8.9) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">99 (7.3) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">126 (7.6) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.341 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Month 3 variables, mean (± SD)</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>BMI, kg/m<span class="elsevierStyleSup">2</span> (± SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">29.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>7.9 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">28.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>6.3 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">28.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>6.6 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.482 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Hemoglobin, g/dL (± SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">13.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.5 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">12.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.6 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">12.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.6 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Sodium, mEq/L (± SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">139.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.9 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">140.0<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.7 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">139.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.7 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.083 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Creatinine, mg/dL (± SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.4 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.4 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.4 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.367 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>HR, bpm (± SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">62.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24.4 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">62.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24.3 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">62.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24.3 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.766 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>BNP, pg/mL (± SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">490<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>573 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">860<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.063 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">794<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.788 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.566 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>NT-proBNP, pg/mL (± SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.704<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.782 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.420<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5.368 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.264<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5.249 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.248 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Loop diuretics, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">269 (88) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1175 (87) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1444 (87) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.571 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Aldosterone antagonists, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">102 (33) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">451 (33) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">553 (33) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1000 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Thiazide diuretics, <span class="elsevierStyleItalic">N</span> (%) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">31 (10) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">114 (8.4) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">145 (9) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">.315 \t\t\t\t\t\t\n
\t\t\t\t</td></tr></tbody></table>
"""
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"en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Clinical characteristics of the cohort at baseline and at 3 months.</p>"
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"identificador" => "tbl0010"
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"leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviations</span>: 95% CI, 95% confidence interval; NYHA, New York Heart Association; RR, relative risk; SD, standard deviation.</p>"
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0 => array:2 [
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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="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">All-cause mortality</th><th class="td" title="table-head " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Cardiovascular mortality</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Univariate</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Multivariate</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Univariate</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Multivariate</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">RR (95% CI) \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">RR (95% CI) \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">RR (95% CI) \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">RR (95% CI) \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n
\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleItalic">Baseline</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Hemoconcentration \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.75 (0.51–1.09) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.132 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.80 (0.48–1.34) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.389 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age, years (± SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.04 (1.02–1.05) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.02 (1.00–1.04) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.044 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.04 (1.01–1.06) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.002 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.03 (1.00–1.05) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.046 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Women, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.73 (0.56–0.96) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.023 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.61 (0.43–0.87) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.007 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.71 (0.49–1.04) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.076 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.56 (0.37–0.87) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.010 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>NYHA I \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (ref.) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (ref.) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (ref.) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>NYHA II \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.29 (0.74–2.26) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.369 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.94 (0.50–1.74) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.839 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.93 (0.46–1.91) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.849 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>NYHA III \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.40 (1.37–4.21) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.002 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.90 (1.03–3.52) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.040 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.04 (1.01–4.14) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.048 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.72 (1.14–2.59) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.010 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>NYHA IV \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.53 (0.50–4.65) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.452 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.01 (0.28–3.60) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.985 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.19 (0.26–5.51) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.823 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Hemoglobin \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.91 (0.84–0.98) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.014 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.81 (0.73–0.90) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.86 (0.78–0.96) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.007 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Digoxin \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.08 (0.79–1.48) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.623 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.49 (0.99–2.23) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.053 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.85 (1.20–2.86) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.006 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Aldosterone antagonists \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.59 (1.21–2.10) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.68 (1.15–2.46) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.007 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.82 (1.21–2.74) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.004 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Thiazides \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.58 (1.03–2.44) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.038 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.76 (1.10–2.84) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.019 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.59 (0.87–2.90) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.128 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleItalic">3-Month follow-up</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Hemoglobin \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.75 (0.69–0.82) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.81 (0.73–0.90) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.74 (0.66–0.84) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.80 (0.70–0.91) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.001 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Sodium \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.91 (0.89–0.94) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.92 (0.89–0.95) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.94 (0.90–0.98) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.008 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Creatinine \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.30 (1.75–3.02) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.93 (2.05–4.19) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.50 (1.65–3.78) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Thiazides \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.64 (1.11–2.45) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.014 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.76 (1.10–2.84) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.019 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.32 (0.73–2.41) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.358 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td></tr></tbody></table>
"""
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"en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Cox proportional hazards analysis of mortality at 1 year.</p>"
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"identificador" => "tbl0015"
"etiqueta" => "Table 3"
"tipo" => "MULTIMEDIATABLA"
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"leyenda" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviations</span>: 95% CI, 95% confidence interval; ACEI, angiotensin-converting enzyme inhibitors; eGFR, estimated glomerular filtration rate; NYHA, New York Heart Association; RR, relative risk.</p>"
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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="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">General readmission</th><th class="td" title="table-head " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Cardiovascular readmission</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Univariate</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Multivariate</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Univariate</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Multivariate</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">RR (95% CI) \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">RR (95% CI) \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">RR (95% CI) \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">RR (95% CI) \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n
\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleBold">Baseline</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Hemoconcentration</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.86 (0.70–1.05) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.146 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.93 (0.72–1.22) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.611 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">NYHA</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>NYHA I \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (ref.) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (ref.) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (ref.) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (ref.) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>NYHA II \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.29 (0.96–1.72) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.088 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.21 (0.90–1.64) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.201 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.58 (1.02–2.43) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.039 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.58 (1.00–2.51) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.052 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>NYHA III \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.88 (1.40–2.53) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.70 (1.25–2.30) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.51 (1.62–3.89) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.39 (1.50–3.82) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>NYHA IV \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.98 (1.15–3.42) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.014 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.89 (1.09–3.28) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.023 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.00 (0.90–4.48) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.091 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.05 (0.90–4.67) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.086 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Hemoglobin</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.99 (0.96–1.03) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.695 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.91 (0.85–0.96) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">ACEI</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.97 (0.84–1.13) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.743 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.81 (0.66–1.00) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.048 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.81 (0.66–1.00) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.046 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Loop diuretics</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.54 (1.19–2.00) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.43 (1.10–1.87) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.008 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.60 (1.13–2.28) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.009 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleBold">3-month follow-up</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Hemoglobin</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.86 (0.82–0.90) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.88 (0.84–0.93) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.81 (0.76–0.86) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.84 (0.79–0.90) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Sodium</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.95 (0.93–0.97) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.96 (0.94–0.98) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.96 (0.93–0.98) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.97 (0.94–0.99) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.010 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Creatinine</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.55 (1.31–1.84) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.34 (1.12–1.59) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.75 (1.41–2.18) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.44 (1.14–1.81) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.002 \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">eGFR</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.99 (0.99–1.00) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.99 (0.98–0.99) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Loop diuretics</span> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.41 (1.10–1.82) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.007 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.86 (1.27–2.72) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.001 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.76 (1.18–2.60) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.005 \t\t\t\t\t\t\n
\t\t\t\t</td></tr></tbody></table>
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"titulo" => "Rationale and design of the “Safety and efficacy of the Combination of Loop with Thiazide-type Diuretics in Patients with Decompensated Heart Failure (CLOROTIC) Trial”: a double-blind, randomized, placebo-controlled study to determine the effect of combined diuretic therapy (loop diuretics with thiazide-type diuretics) among patients with decompensated heart failure"
"autores" => array:1 [
0 => array:3 [
"colaboracion" => "CLOROTIC investigators"
"etal" => false
"autores" => array:6 [
0 => "J.C. Trullàs"
1 => "J.L. Morales-Rull"
2 => "J. Casado"
3 => "A. Freitas Ramírez"
4 => "L. Manzano"
5 => "F. Formiga"
]
]
]
]
]
"host" => array:1 [
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"doi" => "10.1016/j.cardfail.2015.11.003"
"Revista" => array:6 [
"tituloSerie" => "J Card Fail"
"fecha" => "2016"
"volumen" => "22"
"paginaInicial" => "529"
"paginaFinal" => "536"
"link" => array:1 [
0 => array:2 [
"url" => "https://www.ncbi.nlm.nih.gov/pubmed/26576715"
"web" => "Medline"
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]
]
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]
]
]
]
]
]
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"identificador" => "xack389296"
"titulo" => "Acknowledgements"
"texto" => "<p id="par0110" class="elsevierStylePara elsevierViewall">The authors would like to thank all researchers who are part of the RICA Registry. This project was made possible thanks to an unrestricted educational grant by Boehringer Ingelheim. We would also like to thank the Coordination Center of the RICA Registry (S&H Medical Science Service) for their data quality control, logistical support and administrative work. We would also like to thank professor Salvador Ortiz (Universidad Autonoma de Madrid) and the statistical consultants of S&H Medical Science Service for their statistical analysis of the data presented in this document.</p>"
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"tipo" => "SECCION"
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