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array:24 [ "pii" => "S2254887421000692" "issn" => "22548874" "doi" => "10.1016/j.rceng.2020.11.005" "estado" => "S300" "fechaPublicacion" => "2022-03-01" "aid" => "1922" "copyright" => "Elsevier España, S.L.U. and Sociedad Española de Medicina Interna (SEMI)" "copyrightAnyo" => "2020" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Rev Clin Esp. 2022;222:152-60" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "Traduccion" => array:1 [ "es" => array:19 [ "pii" => "S0014256520303015" "issn" => "00142565" "doi" => "10.1016/j.rce.2020.11.002" "estado" => "S300" "fechaPublicacion" => "2022-03-01" "aid" => "1922" "copyright" => "Elsevier España, S.L.U. and Sociedad Española de Medicina Interna (SEMI)" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Rev Clin Esp. 2022;222:152-60" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "es" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original</span>" "titulo" => "Perfil clínico y causas de muerte de los pacientes con insuficiencia cardíaca atendidos en una unidad especializada de Cardiología según su fracción de eyección" "tienePdf" => "es" "tieneTextoCompleto" => "es" "tieneResumen" => array:2 [ 0 => "es" 1 => "en" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "152" "paginaFinal" => "160" ] ] "titulosAlternativos" => array:1 [ "en" => array:1 [ "titulo" => "Clinical profile and causes of death according to ejection fraction in patients with heart failure cared for in a specialized Cardiology unit" ] ] "contieneResumen" => array:2 [ "es" => true "en" => true ] "contieneTextoCompleto" => array:1 [ "es" => true ] "contienePdf" => array:1 [ "es" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figura 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1197 "Ancho" => 1508 "Tamanyo" => 92850 ] ] "descripcion" => array:1 [ "es" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Distribución de los valores de fracción de eyección ventricular izquierda en 1.909 pacientes con insuficiencia cardíaca en el momento del inicio del seguimiento.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "E. Barge-Caballero, B. Montero-Fole, G. Barge-Caballero, D. Couto-Mallón, M.J. Paniagua-Martín, P. Pardo-Martínez, M. Sagastagoitia-Fornie, J. Muñiz, J.M. Vázquez-Rodríguez, M.G. Crespo-Leiro" "autores" => array:10 [ 0 => array:2 [ "nombre" => "E." "apellidos" => "Barge-Caballero" ] 1 => array:2 [ "nombre" => "B." "apellidos" => "Montero-Fole" ] 2 => array:2 [ "nombre" => "G." "apellidos" => "Barge-Caballero" ] 3 => array:2 [ "nombre" => "D." "apellidos" => "Couto-Mallón" ] 4 => array:2 [ "nombre" => "M.J." "apellidos" => "Paniagua-Martín" ] 5 => array:2 [ "nombre" => "P." "apellidos" => "Pardo-Martínez" ] 6 => array:2 [ "nombre" => "M." "apellidos" => "Sagastagoitia-Fornie" ] 7 => array:2 [ "nombre" => "J." "apellidos" => "Muñiz" ] 8 => array:2 [ "nombre" => "J.M." "apellidos" => "Vázquez-Rodríguez" ] 9 => array:2 [ "nombre" => "M.G." "apellidos" => "Crespo-Leiro" ] ] ] ] ] "idiomaDefecto" => "es" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S2254887421000692" "doi" => "10.1016/j.rceng.2020.11.005" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2254887421000692?idApp=WRCEE" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0014256520303015?idApp=WRCEE" "url" => "/00142565/0000022200000003/v1_202202260624/S0014256520303015/v1_202202260624/es/main.assets" ] ] "itemSiguiente" => array:19 [ "pii" => "S2254887421001557" "issn" => "22548874" "doi" => "10.1016/j.rceng.2021.01.010" "estado" => "S300" "fechaPublicacion" => "2022-03-01" "aid" => "1949" "copyright" => "Elsevier España, S.L.U. and Sociedad Española de Medicina Interna (SEMI)" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Rev Clin Esp. 2022;222:161-8" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "A descriptive study of transthyretin amyloidosis in a tertiary hospital without a referral unit" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "161" "paginaFinal" => "168" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Estudio descriptivo de la amiloidosis por transtiretina en un hospital de tercer nivel sin unidad de referencia" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 898 "Ancho" => 1505 "Tamanyo" => 67637 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0005" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Inclusion algorithm for study patients.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "E. Bueno Juana, A. Gracia Gutiérrez, J. Melero Polo, A. Roteta Unceta-Barrenechea, A. Andrés Gracia, C. Lahuerta Pueyo, S. Menao Guillén, P. Revilla Martí, M.Á. Aibar Arregui" "autores" => array:9 [ 0 => array:2 [ "nombre" => "E." "apellidos" => "Bueno Juana" ] 1 => array:2 [ "nombre" => "A." "apellidos" => "Gracia Gutiérrez" ] 2 => array:2 [ "nombre" => "J." "apellidos" => "Melero Polo" ] 3 => array:2 [ "nombre" => "A." "apellidos" => "Roteta Unceta-Barrenechea" ] 4 => array:2 [ "nombre" => "A." "apellidos" => "Andrés Gracia" ] 5 => array:2 [ "nombre" => "C." "apellidos" => "Lahuerta Pueyo" ] 6 => array:2 [ "nombre" => "S." "apellidos" => "Menao Guillén" ] 7 => array:2 [ "nombre" => "P." "apellidos" => "Revilla Martí" ] 8 => array:2 [ "nombre" => "M.Á." "apellidos" => "Aibar Arregui" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0014256521000692" "doi" => "10.1016/j.rce.2021.01.007" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0014256521000692?idApp=WRCEE" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2254887421001557?idApp=WRCEE" "url" => "/22548874/0000022200000003/v1_202202260708/S2254887421001557/v1_202202260708/en/main.assets" ] "itemAnterior" => array:19 [ "pii" => "S2254887421001041" "issn" => "22548874" "doi" => "10.1016/j.rceng.2021.01.003" "estado" => "S300" "fechaPublicacion" => "2022-03-01" "aid" => "1950" "copyright" => "Elsevier España, S.L.U. and Sociedad Española de Medicina Interna (SEMI)" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Rev Clin Esp. 2022;222:138-51" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Albuminuria and polyvascular disease improve multivariate predictive models after an acute cardiovascular event. 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Cohorte AIRVAG" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 2321 "Ancho" => 3175 "Tamanyo" => 581879 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0005" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Kaplan–Meier survival curves for risk stratification according to usual cutoff points. (A) Framingham, (B) REGICOR, (C) SCORE, (D) SMART, (E) B-TIMI, and (F) REACH.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "R. Sáez-Jiménez, J. Esteban-Hernández, B. Herreros, A. Huelmos, C. Guijarro" "autores" => array:6 [ 0 => array:2 [ "nombre" => "R." "apellidos" => "Sáez-Jiménez" ] 1 => array:2 [ "nombre" => "J." "apellidos" => "Esteban-Hernández" ] 2 => array:2 [ "nombre" => "B." "apellidos" => "Herreros" ] 3 => array:2 [ "nombre" => "A." "apellidos" => "Huelmos" ] 4 => array:2 [ "nombre" => "C." "apellidos" => "Guijarro" ] 5 => array:1 [ "colaborador" => "on behalf of the AIRVAG Investigators" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0014256521000709" "doi" => "10.1016/j.rce.2021.01.008" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0014256521000709?idApp=WRCEE" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2254887421001041?idApp=WRCEE" "url" => "/22548874/0000022200000003/v1_202202260708/S2254887421001041/v1_202202260708/en/main.assets" ] "en" => array:20 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Clinical profile and causes of death according to ejection fraction in patients with heart failure cared for in a specialized Cardiology unit" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "152" "paginaFinal" => "160" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "E. Barge-Caballero, B. Montero-Fole, G. Barge-Caballero, D. Couto-Mallón, M.J. Paniagua-Martín, P. Pardo-Martínez, M. Sagastagoitia-Fornie, J. Muñiz, J.M. Vázquez-Rodríguez, M.G. Crespo-Leiro" "autores" => array:10 [ 0 => array:4 [ "nombre" => "E." "apellidos" => "Barge-Caballero" "email" => array:1 [ 0 => "eduardo.barge.caballero@sergas.es" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 2 => array:2 [ "etiqueta" => "*" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "B." "apellidos" => "Montero-Fole" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 2 => array:3 [ "nombre" => "G." "apellidos" => "Barge-Caballero" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 3 => array:3 [ "nombre" => "D." "apellidos" => "Couto-Mallón" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 4 => array:3 [ "nombre" => "M.J." "apellidos" => "Paniagua-Martín" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 5 => array:3 [ "nombre" => "P." "apellidos" => "Pardo-Martínez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 6 => array:3 [ "nombre" => "M." "apellidos" => "Sagastagoitia-Fornie" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 7 => array:3 [ "nombre" => "J." "apellidos" => "Muñiz" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 8 => array:3 [ "nombre" => "J.M." "apellidos" => "Vázquez-Rodríguez" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 9 => array:3 [ "nombre" => "M.G." "apellidos" => "Crespo-Leiro" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] ] "afiliaciones" => array:3 [ 0 => array:3 [ "entidad" => "Servicio de Cardiología, Complejo Hospitalario Universitario de A Coruña (CHUAC), Instituto de Investigación Biomédica de A Coruña (INIBIC), A Coruña, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Facultad de Ciencias de la Salud, Universidad de A Coruña (UDC), INIBIC, A Coruña, Spain" "etiqueta" => "c" "identificador" => "aff0015" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Perfil clínico y causas de muerte de los pacientes con insuficiencia cardíaca atendidos en una unidad especializada de Cardiología según su fracción de eyección" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig0015" "etiqueta" => "Figure 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1254 "Ancho" => 2914 "Tamanyo" => 144735 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0015" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Main cause of death in 433 patients with heart failure, classified according to their left ventricular ejection fraction status at the time of starting follow-up.</p> <p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">HFrEF: heart failure with reduced ejection fraction; HFmrEF: heart failure with mid-range ejection fraction; HFpEF: heart failure with preserved ejection fraction.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Historically, left ventricular ejection fraction (LVEF) has been considered the functional parameter of choice for evaluating cardiac contractility.</p><p id="par0010" class="elsevierStylePara elsevierViewall">For patients with heart failure, the presence of a reduced LVEF (<40%) (HFrEF) identifies a phenotype characterised by impaired systolic function as a result of various causal agents—ischaemia, genetic and toxic alterations, and viral damage—. In these patients, treatment with neurohormonal response modifying drugs is associated with a significant prognostic benefit.<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">On the other end of the spectrum, patients with HF and preserved LVEF (>50%) (HFpEF) present a phenotype characterised by the presence of microvascular dysfunction, myocyte hypertrophy, and interstitial fibrosis due to pathological ventricular remodelling attributable to the impact of comorbidities, and cardiovascular risk factors.<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a> For these patients, the prognostic benefit from neurohormonal blockade has not been consistently demonstrated.</p><p id="par0020" class="elsevierStylePara elsevierViewall">Recently, the concept of HF with mid-range LVEF (HFmrEF) has been coined to describe patients with an LVEF between 40% and 49%.<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> This subgroup has been under-represented in clinical trials, meaning we have little scientific evidence to guide therapeutic management.</p><p id="par0025" class="elsevierStylePara elsevierViewall">The aim of our study was to describe the clinical profile, prognosis, and causes of death in HF patients treated in a specialised cardiology unit in a Spanish university hospital, paying attention to the possible differences in these aspects between the three subgroups defined according to the LVEF.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Methodology</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Study description</span><p id="par0030" class="elsevierStylePara elsevierViewall">We performed an observational study based on a clinical registry of patients treated in the specialized cardiology consultation unit for HF at the A Coruña University Hospital Complex between 2010 and 2019.</p><p id="par0035" class="elsevierStylePara elsevierViewall">The registry has a prospective design and includes consecutive patients evaluated in the unit at the time of their first visit to the clinic, although some of the collected information is retrospective and sourced from medical and nursing notes present in the electronic medical history.</p><p id="par0040" class="elsevierStylePara elsevierViewall">Maintenance of the Cardiology HF unit clinical registry was performed by specific research support staff using the smart heart failure monitoring system IT tool (SIMon-IC®), a medical history management tool developed by the centre’s own IT Services department. This application allows for data collected on each patient to be recorded in a case report form and includes baseline information related to their clinical situation prior to their first consultation in our unit, as well as information related to their subsequent follow-up visits and their clinical evolution, vital status, and hospitalisation episodes.</p><p id="par0045" class="elsevierStylePara elsevierViewall">During the study period, the only necessary criteria for a patient to be referred to the Cardiology HF unit was the existence of a confirmed diagnosis of previous HF, including an echocardiographic assessment.</p><p id="par0050" class="elsevierStylePara elsevierViewall">The patients gave their informed consent for their clinical data to be used for research purposes. The study protocol was approved by the Clinical Research Ethics Committee of Galicia.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Endpoint variables</span><p id="par0055" class="elsevierStylePara elsevierViewall">The patient’s vital status was monitored from the moment of their first visit in the HF unit until their time of death or, alternatively, until 15 May 2020. For patients who received a heart transplant, follow-up ended on the date of that intervention.</p><p id="par0060" class="elsevierStylePara elsevierViewall">The endpoint variables analysed in this study were the composite of death or hospitalisation due to HF and all-cause mortality. For the purposes of the survival analysis, a heart transplant was considered an event equivalent to hospitalisation for HF but was not counted as a mortality event.</p><p id="par0065" class="elsevierStylePara elsevierViewall">The following were considered cardiovascular causes of death: sudden death or due to arrhythmia, death due to refractory HF, cerebrovascular accident, ischaemia or arterial thromboembolism, venous thromboembolism, and death attributable to complications from a cardiovascular procedure.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Statistical analysis</span><p id="par0070" class="elsevierStylePara elsevierViewall">Categorical variables were defined using proportions while continuous variables were defined using a mean ± standard deviation. The Chi-squared test was used to compare categorical variables between groups and the ANOVA or Kruskal–Wallis tests for comparing the quantitative variables. Adaption of the quantitative variables to the normal distribution was evaluated using the Kolmogorov–Smirnov test and Q<span class="elsevierStyleGlyphsbnd"></span>Q plots.</p><p id="par0075" class="elsevierStylePara elsevierViewall">We used the Kaplan–Meier method to construct the curves for overall survival and hospitalisation free survival due to HF in the three patient groups defined according to their LVEF function. The comparison of time until each of the endpoints of interest was carried out using the log rank test.</p><p id="par0080" class="elsevierStylePara elsevierViewall">With the aim of controlling the effect of a potential confounding bias over the statistical association observed in the univariate analysis between LVEF groups and clinical endpoints, we designed a simple multivariate adjustment using the Cox regression model.</p><p id="par0085" class="elsevierStylePara elsevierViewall">Added to the model as adjustment covariates were the baseline clinical characteristics and analytical parameters that showed an uneven distribution between the three groups (univariate <span class="elsevierStyleItalic">p</span> < 0.10) and which, at the same time, could be associated with the prognosis based on clinical reasoning and review of the prior literature. These were: age, sex, history of hospitalisation for HF, coronary artery disease, heart valve disease, infiltrative cardiomyopathy, active or past smoking, peripheral artery disease, neoplasia, atrial fibrillation or flutter, presence of signs of congestion, systolic blood pressure, heart rate, haemoglobin, glomerular filtration rate, and NTproBNP.</p><p id="par0090" class="elsevierStylePara elsevierViewall">Excluded from this analysis were variables with ≥5% missing data (left ventricular end-diastolic diameter, left ventricular end-systolic diameter, bilirubin, and pulmonary artery blood pressure). In total, 53 (2.8%) patients with missing data for one of the covariates selected for the adjustment were excluded from the final multivariate model.</p><p id="par0095" class="elsevierStylePara elsevierViewall">A significance level of <span class="elsevierStyleItalic">p</span> < 0.05 was considered for all the hypothesis testing. The statistical analysis was performed with SPSS 20.</p></span></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Results</span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Baseline clinical characteristics</span><p id="par0100" class="elsevierStylePara elsevierViewall">The study included 1909 consecutive patients who attended for Cardiology HF unit for the first time between 2010 and 2019. Of those, 1346 (70.5%) were patients belonging to the centre’s own health district of reference and 563 (29.5%) patients were referred from other hospitals in the autonomous community.</p><p id="par0105" class="elsevierStylePara elsevierViewall">The mean age of the patients was 63.3 (12.3%) years; 537 (28.1%) were women and 1372 (71.9%) were men. A history of HF was present in 908 (47.6%) of the patients. In total, 1404 (73.5%) patients presented reduced LVEF (<40%), 239 (12.5%) presented mid-range LVEF (40−49%), and 266 (13.9%) presented preserved LVEF (>50%). <a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a> shows the distribution of LVEF in the 1909 patients included in the study.</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0110" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> shows a comparison of the baseline clinical characteristics of the patients with HFrEF, HF-mrEF, and HF-pEF. The three groups differed significantly in terms of mean age, male/female ratio, associated comorbidities, and prevalence of cardiovascular risk factors.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0115" class="elsevierStylePara elsevierViewall">Patients with HFpEF presented a clinical profile suggestive of greater severity, with a higher prevalence of congestive signs, lower haemoglobin plasma levels, lower glomerular filtration rate, and higher pulmonary artery blood pressure.</p><p id="par0120" class="elsevierStylePara elsevierViewall">The patients with HFrEF had larger ventricular diameters.</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Treatment</span><p id="par0125" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> shows the prescribing frequencies for the main drug groups in the three patient subpopulations defined according to their LVEF during the monitoring period in the specialised HF unit.</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0130" class="elsevierStylePara elsevierViewall">Beta blockers were prescribed to 1371 (97.6%) patients with HFrEF, 205 (85.8%) patients with HFmrEF, and 186 (69.9%) patients with HFpEF (<span class="elsevierStyleItalic">p</span> < 0.001); angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers, and/or sacubitril-valsartan were prescribed to 1307 (93.1%) patients with HFrEF, 191 (79.9%) patients with HFmrEF, and 137 (51.5%) patients with HFpEF (<span class="elsevierStyleItalic">p</span> < 0.001), and mineralocorticoid receptor antagonists were prescribed to 1164 (82.9%) patients with HFrEF, 157 (65.7%) patients with HFmrEF and 146 (54.9%) patients with HFpEF (<span class="elsevierStyleItalic">p</span> < 0.001).</p><p id="par0135" class="elsevierStylePara elsevierViewall">In total, 484 (34.5%) patients with HFrEF, 45 (18.8%) patients with HFmrEF, and 24 (9%) patients with HFpEF were bearers of an implantable defibrillator (<span class="elsevierStyleItalic">p</span> < 0.001) during clinical monitoring in the HF unit.</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Prognosis</span><p id="par0140" class="elsevierStylePara elsevierViewall">Mean monitoring of the vital status of the study patients was 1387 (standard deviation 1003) days. During this period, 283 (20.2%) patients with HFrEF, 68 (28.4%) patients with HFmrEF and 82 (30.5%) patients with HFpEF died. A heart transplant was performed on 95 (6.8%) patients with HFrEF, 11 (4.6%) patients with HFmrEF and 7 (2.6%) patients with HFpEF. In total, 572 (30%) patients presented some type of hospitalisation for HF during monitoring.</p><p id="par0145" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a> shows the curves for overall survival (2a) and survival free from admission for HF (2b) in the study patients according to their LVEF status, estimated using the Kaplan–Meier method. The log rank test showed a statistically significant difference between the groups in terms of both events (overall survival, <span class="elsevierStyleItalic">p</span> < 0.001; survival free from admission for HF, <span class="elsevierStyleItalic">p</span> = 0.026).</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0150" class="elsevierStylePara elsevierViewall">Following the multivariate adjustment for possible confounding factors defined in the Methodology section and taking the HFrEF category as a reference, a hazard ratio of 1.36 was estimated for risk of all-cause death (95% confidence interval [CI] 1.03–1.80; <span class="elsevierStyleItalic">p</span> = 0.028) for patients with HFpEF and 1.36 (95% CI 1.03–1.78; <span class="elsevierStyleItalic">p</span> = 0.029) for patients with HFmrEF. This analysis did not detect significant differences between the groups with regard to the risk of the composite endpoint of all-cause death or hospitalisation for HF, with a hazard ratio for patients with HFpEF of 1.24 (95% CI: 1–1.54; <span class="elsevierStyleItalic">p</span> = 0.053) and a hazard ratio for patients with HFmrEF of 1.07 (95% CI: 0.85–1.34; <span class="elsevierStyleItalic">p</span> = 0.556).</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Causes of death</span><p id="par0155" class="elsevierStylePara elsevierViewall">Information was obtained about the primary cause of death in 422 (97.5%) of the 433 deaths recorded throughout follow-up; of the 11 patients who died due to unknown causes, 3 belonged to the HFmrEF group and 8 to the HFrEF group. <a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a> represents the relative weight of the different causes of death in the three HF patient groups according to their LVEF.</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia><p id="par0160" class="elsevierStylePara elsevierViewall">Refractory HF was the most common individual cause of death in the 3 groups, affecting 94 (33.2%) patients with HFrEF, 24 (35.3%) patients with HFmrEF, and 28 (34.1%) patients with HFpEF.</p><p id="par0165" class="elsevierStylePara elsevierViewall">Sudden death was the form of death in 83 (29.3%) patients with HFrEF, 12 (17.6%) patients with HFmrEF, and 9 (11%) patients with HFpEF.</p><p id="par0170" class="elsevierStylePara elsevierViewall">Non-cardiovascular causes explained 83 (29%) deaths in patients with HFrEF, 29 (42.6%) patients with HFmrEF and 35 (42.7%) patients with HFpEF. Neoplasia (n = 62, 14.3%) and infections (n = 48, 11.1%) were the most common non-cardiovascular causes of death.</p></span></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Discussion</span><p id="par0175" class="elsevierStylePara elsevierViewall">In this manuscript we present a comparison of the clinical characteristics, therapeutic management, prognosis, and causes of death in 1909 patients with HF who were treated consecutively in a specialized Cardiology consultation unit over a 10-year period, according to the three categories of LVEF defined by scientific societies<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> —HFrEF, HFmrEF, and HFpEF—.</p><p id="par0180" class="elsevierStylePara elsevierViewall">The general clinical profile of the subjects included in our study reveals a certain selection bias, typical of the types of patients who are preferably referred to specialised Cardiology HF units.<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a></p><p id="par0185" class="elsevierStylePara elsevierViewall">The study cohort presents a relatively low mean age and a high prevalence of coronary artery disease as an underlying cause of HF. There also exists a clear predominance of the HFrEF phenotype, to which almost 3/4 of the cohort correspond. This figure represents a highly relevant difference compared to the profile of HF patients treated in other care contexts. A recent analysis of the RICA registry, which included 4752 patients hospitalised for HF in Spanish Internal Medicine departments between 2008 and 2018 showed a prevalence of HFpEF of 62.2%.<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">4</span></a></p><p id="par0190" class="elsevierStylePara elsevierViewall">The HF patient profile represented in our study is that in which, a priori, we could expect greater prognostic benefit from a specialised therapeutic approach that includes aggressive dose titration of disease-modifying drugs, implantation of intracardiac devices and, in the case of refractory disease, advanced measures like heart transplant and mechanical ventricular assistance.<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a> Nevertheless, it is worth noting that the selection of patients seen in our specialized consultation unit is a reflection of the clinical criteria of the doctors of reference, as the sole requirement that had to be met for their referral was the presence of a prior confirmed diagnosis of HF.</p><p id="par0195" class="elsevierStylePara elsevierViewall">Our analysis reveals significant differences in terms of the clinical characteristics of patients with HF according to their LVEF. Patients with HFrEF were frequently male and presented a higher prevalence of coronary artery disease, prior myocardial infarction, and peripheral artery disease; on the other hand, we observed in the group of patients with HFpEF a higher representation of the female sex, older age, higher blood pressure levels, and a higher prevalence of atrial fibrillation, valve disease, infiltrative cardiomyopathy, and prior neoplastic disease.</p><p id="par0200" class="elsevierStylePara elsevierViewall">Broadly speaking, the clinical characteristics of the HFmrEF phenotype proved intermediate between the other 2 subgroups, with an emphasis on a high prevalence of coronary artery disease and prior myocardial infarction, similar to that observed in patients with HFrEF.</p><p id="par0205" class="elsevierStylePara elsevierViewall">The differences observed in terms of the clinical characteristics of patients with HFrEF, HFmrEF, and HFpEF are consistent, in global terms, with previous literature.<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a> While it has been suggested that the HFmrEF phenotype might represent a transition stage between HFpEF and HFrEF,<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> the description of a clinical profile and of added “intermediate” comorbidities between both phenotypes invites us to think of HFmrEF as an independent clinical entity.<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a> However, other authors have suggested that the high prevalence of ischaemic heart disease observed in patients with HFmrEF means these individuals should be classified in the HFrEF subgroup.<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a></p><p id="par0210" class="elsevierStylePara elsevierViewall">Nevertheless, the published studies show significant heterogeneity among their results. It should be noted that the use of LVEF as the only variable for classifying the phenotype of HF patients is of limited value<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a>; when determining this parameter, there is a significant intra- and interoperator variability which, despite its undeniable clinical utility, hinders standardisation of the measure and, therefore, calls into question its use as the primary inclusion criteria in research study and as a therapeutic guideline in individual subjects. What’s more, the LVEF is a dynamic parameter that can undergo various evolutionary trajectories throughout the HF patient follow-up process.<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">10</span></a></p><p id="par0215" class="elsevierStylePara elsevierViewall">In our series, patients with HFpEF presented the most advanced clinical situation of the three subgroups studied at the time of their first visit to the HF clinic, and a higher prevalence of congestive signs, worse parameters for liver and renal function, lower serum haemoglobin levels, and higher pulmonary blood pressure.</p><p id="par0220" class="elsevierStylePara elsevierViewall">However, we did not observe statistically significant differences between the three phenotypes with regard to the subjective functional class or the natriuretic peptide plasma levels. This last finding reinforces the impression the severe clinical involvement of patients with HFpEF; a priori, a higher elevation of natriuretic peptides would be expected in patients with HFrEF given the higher degree of parietal stress in these cases as a consequence of the adaptive process of spherical remodelling and ventricular dilation.<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> The unusual level of severity of patients with HFpEF included in our cohort seems to be the result of a referral bias typical to the specific context in which the study was carried out.</p><p id="par0225" class="elsevierStylePara elsevierViewall">One notable finding is the high number of patients with HFmrEF and, to a lesser degree, with HFpEF, who received treatment with recommended drugs with a class I indication due to evidence of prognostic improvement in patients with HFrEF,<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> as is the case with beta blockers or renin-angiotensin-aldosterone system inhibitors. While we may not have consistent evidence of their clinical benefit for patients with HF and LVEF that is closer to normal limits, this situation has also been described in previous studies.<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a> The high prevalence of comorbidities such as arterial hypertension, coronary artery disease, and atrial fibrillation, likely to be treated with these kinds of drugs, is the most likely explanation for this result.</p><p id="par0230" class="elsevierStylePara elsevierViewall">Our cohort of patients with HFpEF and HFmrEF presented lower long-term survival than the patients with HFrEF. This statistical effect maintained its significance following the multivariate adjustment for potential confounding factors, including demographic characteristics, underlying aetiology, associated comorbidity and variables representative of the degree of HF progression, such as the presence of signs of congestion, haemoglobin, and liver and renal function parameters.</p><p id="par0235" class="elsevierStylePara elsevierViewall">In the review of previous literature, it is worth noting that there is significant heterogeneity among the results, attributable to the different characteristics of the populations studied. Nevertheless, a meta-analysis of 12 observational studies, including 109,257 patients, suggests that patients with HFmrEF would comprise a subgroup with better prognosis than that of patients with HFrEF or HFpEF.<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a> In the RICA registry<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">4</span></a> patients with HFrEF presented significantly higher one-year mortality than the patients with HFpEF or HFmrEF.</p><p id="par0240" class="elsevierStylePara elsevierViewall">The elevated mortality observed in our study in patients with HFpEF and HFmrEF once again seems to be conditioned by a referral bias that has resulted in a selection of patients with a significant level of severity and with specific cardiopathies associated with poor prognosis, such as valve disease or infiltrative cardiomyopathy.</p><p id="par0245" class="elsevierStylePara elsevierViewall">On the other hand, in some studies it is possible that the classification of patients with HF and recovered LVEF into the HFpEF or HFmrEF phenotypes may have conditioned an improvement in the overall prognosis of these subgroups.<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a> It is known that patients whose LVEF increases in response to therapeutic interventions comprise a subpopulation of HFrEF with a significantly lower risk of adverse clinical events during follow-up.<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a></p><p id="par0250" class="elsevierStylePara elsevierViewall">Given the design of our study, we cannot know with certainty how many patients assigned to the HFpEF and HFmrEF groups could correspond to patients with a history of HFrEF and LVEF recovery. However, it is our opinion that it is likely a number of cases of little relevance, as they are patients who have already started treatment and who have already experienced a positive response. Therefore, these patients are less likely to be referred to a specialised clinic.</p><p id="par0255" class="elsevierStylePara elsevierViewall">Lastly, it is worth mentioning that, for the moment, we do not have truly effective therapeutic measures for modifying the progress of the disease and improving prognosis of HF patients who do not have reduced LVEF, which contributes to explaining the poor prognosis observed in our series in the HFpEF and HFmrEF subgroups.</p><p id="par0260" class="elsevierStylePara elsevierViewall">In our study, cardiovascular causes, and more specifically HG progression, were the most common cause of death in the three patient subgroups with HF defined according to LVEF. This finding is also consistent with that described by other authors.<a class="elsevierStyleCrossRefs" href="#bib0060"><span class="elsevierStyleSup">12,15</span></a> However, it must be noted that the relative weight of the cardiovascular causes of death was greater in the HFrEF group as a result of the greater frequency of sudden death. The relationship between more depressed LVEF and an increased arrhythmic risk is well-established, particularly in patients with coronary artery disease.</p><p id="par0265" class="elsevierStylePara elsevierViewall">The clinical practice guidelines<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> recommend implanting an automated defibrillator to prevent against sudden death in patients with LVEF < 35% and symptomatic HF and/or previous myocardial infarction. However, it is important to remember the limited predictive value of LVEF use as the sole risk marker of sudden death in clinical practice, particularly in patients with HF of non-ischaemic etiology.<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a> Lastly, we observed a greater relative weight of non-cardiovascular causes of death in patients with HF-pEF and HF-mrEF, which seems attributable to a higher degree of associated comorbidity.<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">17</span></a></p><p id="par0270" class="elsevierStylePara elsevierViewall">This study presents some limitations. Firstly, its observational and retrospective nature condition the possibility of selection bias, information bias, and confounding factors. The use of LVEF as a primary parameter for characterising patients with HF into three subgroups, following the definition from the clinical practice guidelines,<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> constitutes in itself another limitation, given the significant inter- and intraoperator variability, which could give rise to a classification bias.</p><p id="par0275" class="elsevierStylePara elsevierViewall">In addition, in the study we only analysed the initial LVEF measurement without considering potential changes to this parameter over the course of the patients’ evolution.</p><p id="par0280" class="elsevierStylePara elsevierViewall">Lastly, as has been widely discussed before, the study is based on a historical cohort of patients with HF treated in a specialised Cardiology unit at a single centre, which causes a referral bias. This situation has conditioned an under-representation of the HFmrEF and HFpEF phenotypes, and the selection, within these subgroups, of patients with particularly severe HF symptoms.</p><p id="par0285" class="elsevierStylePara elsevierViewall">Therefore, our results should be considered with caution, and it may not be possible to extrapolate them to other different healthcare contexts.</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Conclusions</span><p id="par0290" class="elsevierStylePara elsevierViewall">The analysis of the historical cohort of patients treated in our specialised Cardiology HF unit over the 2010–2019 period confirms the existence of relevant differences in terms of clinical profile, treatment, prognosis, and causes of mortality among patients with HFpEF, HFmrEF, and HFrEF. Looking to the future, it would be important to perform new studies that offer the option to delve deeper into the phenotype characterisation of each of these clinical entities, beyond simple differentiation in terms of LVEF, with the goal of defining the most appropriate therapeutic approach in each case.</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Funding</span><p id="par0295" class="elsevierStylePara elsevierViewall">The research responsible for this study receives regular funding from the Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV) from the <span class="elsevierStyleGrantSponsor" id="gs0005">Carlos III Health Institute</span>.</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Conflicts of interest</span><p id="par0300" class="elsevierStylePara elsevierViewall">Eduardo Barge-Caballero declares having received professional fees for consulting with Boehringer Ingelheim, Vifor, and AstraZeneca and professional fees for presentations for Novartis, Rovi, Boehringer Ingelheim, AstraZeneca and Servier. The other authors declare that they do not have any conflicts of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:12 [ 0 => array:3 [ "identificador" => "xres1672383" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background and objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1484329" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres1672382" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Antecedente y objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Metodología" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec1484328" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Methodology" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Study description" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Endpoint variables" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Statistical analysis" ] ] ] 6 => array:3 [ "identificador" => "sec0030" "titulo" => "Results" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0035" "titulo" => "Baseline clinical characteristics" ] 1 => array:2 [ "identificador" => "sec0040" "titulo" => "Treatment" ] 2 => array:2 [ "identificador" => "sec0045" "titulo" => "Prognosis" ] 3 => array:2 [ "identificador" => "sec0050" "titulo" => "Causes of death" ] ] ] 7 => array:2 [ "identificador" => "sec0055" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0060" "titulo" => "Conclusions" ] 9 => array:2 [ "identificador" => "sec0065" "titulo" => "Funding" ] 10 => array:2 [ "identificador" => "sec0070" "titulo" => "Conflicts of interest" ] 11 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2020-09-19" "fechaAceptado" => "2020-11-08" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1484329" "palabras" => array:4 [ 0 => "Heart failure" 1 => "Ejection fraction" 2 => "Causes of death" 3 => "Prognosis" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1484328" "palabras" => array:4 [ 0 => "Insuficiencia cardíaca" 1 => "Fracción de eyección" 2 => "Causas de muerte" 3 => "Pronóstico" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Background and objective</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Patients with heart failure are classified into three phenotypes based on left ventricular ejection fraction. This work aimed to compare the clinical profile, treatment, prognosis, and causes of death of patients with heart failure and reduced (<40%, HF-rEF), preserved (≥50%, HF-pEF), or mid-range (40–49%, HF-mrEF) left ventricular ejection fraction.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">An analysis was conducted on the clinical data included in a prospective registry of patients with heart failure who were referred to a specific Cardiology unit from 2010 to 2019.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">A total of 1404 patients with HF-rEF, 239 patients with HF-mrEF, and 266 patients with HF-pEF were analyzed. Significant differences were observed among the groups in regard to several clinical characteristics and the frequency of prescription of neurohormonal blocking drugs. A multivariate Cox regression revealed an increased risk of all-cause mortality in patients with HF-pEF (hazard ratio 1.36; 95% confidence interval 1.03–1.80; <span class="elsevierStyleItalic">p</span> = 0.028) and patients with HF-mrEF (hazard ratio 1.36; 95% confidence interval 1.03–1.78; <span class="elsevierStyleItalic">p</span> = 0.029) as compared to patients with HF-rEF. Heart failure was the most frequent cause of death in the three subgroups. A higher relative weight of sudden death as a cause of death was observed among patients with HF-rEF while the relative weight of non-cardiovascular causes of death was higher among patients with HF-pEF and HF-mrEF.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">This study confirms the existence of significant differences among patients with HF-rEF, HF-mrEF, and HF-pEF with regard to their clinical profile, therapeutic management, prognosis, and causes of death.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background and objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Antecedente y objetivo</span><p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Los pacientes con insuficiencia cardíaca se caracterizan en 3 fenotipos en función de su fracción de eyección ventricular izquierda. El propósito de este estudio fue comparar el perfil clínico, el tratamiento, el pronóstico y las causas de muerte de los pacientes con insuficiencia cardíaca y fracción de eyección ventricular izquierda reducida (<40%, IC-FEr), preservada (≥50%, IC-FEp) o en rango medio (40–49%, IC-FErm).</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Metodología</span><p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Análisis de la información clínica recogida en un registro prospectivo de pacientes con insuficiencia cardíaca remitidos a una consulta monográfica de Cardiología entre 2010 y 2019.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Se estudiaron 1.404 pacientes con IC-FEr, 239 pacientes con IC-FErm y 266 pacientes con IC-FEp. Se observaron diferencias significativas entre los 3 grupos en relación con diversas características clínicas, y en cuanto a la tasa de prescripción de fármacos moduladores de la respuesta neurohormonal. La regresión de Cox multivariante reveló un incremento del riesgo de muerte por cualquier causa en los pacientes con IC-FEp (hazard-ratio 1,36; intervalo de confianza al 95% 1,03–1,80; p = 0,028) e IC-FErm (hazard-ratio 1,36; intervalo de confianza al 95% 1,03–1,78; p = 0,029) en comparación con los pacientes con IC-FEr. La insuficiencia cardíaca fue la causa más frecuente de muerte en los 3 grupos; se observó un mayor peso relativo de la muerte súbita en los pacientes con IC-FEr, mientras que las causas no cardiovasculares de muerte tuvieron un peso relativo mayor en los pacientes con IC-FEp e IC-FErm.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">El estudio confirma la existencia de diferencias significativas en el perfil clínico, manejo terapéutico, pronóstico y causas de muerte de los pacientes con IC-FEr, IC-FErm e IC-FEp.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Antecedente y objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Metodología" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0015">Please cite this article as: Barge-Caballero E, Montero-Fole B, Barge-Caballero G, Couto-Mallón D, Paniagua-Martín MJ, Pardo-Martínez P, et al. Perfil clínico y causas de muerte de los pacientes con insuficiencia cardíaca atendidos en una unidad especializada de Cardiología según su fracción de eyección. Rev Clín Esp. 2022;222:152–160.</p>" ] ] "multimedia" => array:5 [ 0 => array:8 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1197 "Ancho" => 1508 "Tamanyo" => 92676 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0005" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Distribution of the left ventricular ejection fraction values in 1909 patients with heart failure at the time of follow-up.</p>" ] ] 1 => array:8 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 2376 "Ancho" => 1500 "Tamanyo" => 189113 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0010" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Curves for overall survival (2a) and hospitalisation free survival due to heart failure (2b) in 1909 patients with heart failure, according to their left ventricular ejection fraction.</p> <p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">HFpEF: heart failure with preserved ejection fraction; HFrEF: heart failure with reduced ejection fraction; HFmrEF: heart failure with mid-range ejection fraction.</p>" ] ] 2 => array:8 [ "identificador" => "fig0015" "etiqueta" => "Figure 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1254 "Ancho" => 2914 "Tamanyo" => 144735 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0015" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Main cause of death in 433 patients with heart failure, classified according to their left ventricular ejection fraction status at the time of starting follow-up.</p> <p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">HFrEF: heart failure with reduced ejection fraction; HFmrEF: heart failure with mid-range ejection fraction; HFpEF: heart failure with preserved ejection fraction.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0020" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Variables with missing data (n): heart rate (n = 6), systolic blood pressure (n = 26), bilirubin (n = 122), glomerular filtration rate (n = 27), NTproBNP (n = 5), left ventricular end-diastolic diameter (n = 348), left ventricular end-systolic diameter (n = 532), pulmonary artery systolic pressure (n = 1052).</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variables \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">LVEF < 40% (n = 1404) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">LVEF 40–49% (n = 239) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">LVEF ≥ 50% (n = 266) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Medical history</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Age (years), mean (standard deviation)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">62.6 (11.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">63 (14.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">67.3 (13.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Female, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">364 (26) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">65 (27) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">108 (41) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Prior hospital admission due to heart failure</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">703 (50%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">93 (39%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">112 (42%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Obesity</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">483 (34%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">77 (32%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">95 (36%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.704 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Arterial hypertension</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">742 (53%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">127 (53%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">153 (58%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.372 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Diabetes mellitus</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">444 (32%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">64 (27%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">75 (28%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.216 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Smoker or ex-smoker</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">881 (63%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">115 (48%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">102 (38%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Dyslipidaemia</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">764 (54%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">119 (50%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">140 (53%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.393 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Coronary artery disease</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">618 (44%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">105 (44%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">68 (26%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Myocardial infarction</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">455 (32%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">73 (31%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">54 (20%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Valvular heart disease</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">143 (10%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">35 (15%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">68 (26%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Infiltrative cardiomyopathy</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17 (1.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18 (7.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">44 (17%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Chronic obstructive pulmonary disease</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">153 (11%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19 (8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">30 (11%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.362 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Cerebrovascular disease</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">125 (9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26 (11%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28 (11%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.492 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Peripheral artery disease</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">110 (8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19 (8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10 (4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.036 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Neoplasia</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">184 (13%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">34 (14%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">50 (19%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.019 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Atrial fibrillation or flutter</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">309 (22%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">69 (29%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">103 (39%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Clinical situation</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">New York Heart Association functional classification</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.845 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Class I \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">157 (11%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26 (11%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25 (9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Class II \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">773 (55%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">136 (57%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">140 (53%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Class III \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">424 (30%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">70 (29%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">91 (34%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Class IV \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">50 (4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7 (2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10 (4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Signs of pulmonary oedema</span><a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">164 (12%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21 (9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">43 (16%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.032 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Signs of systemic congestion</span><a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">201 (14%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">46 (19%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">67 (25%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Systolic blood pressure (mm</span> <span class="elsevierStyleItalic">Hg)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">117 (20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">120 (22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">126 (22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Heart rate (beats per minute)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">72 (15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">69 (13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">70 (14) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.006 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Laboratory</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Haemoglobin (g/dL)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13.7 (1.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13.7 (2.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13.1 (1.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Creatinine (mg/dL)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.21 (0.71) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.36 (1.25) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.32 (1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.611 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Bilirubin (mg/dL)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.73 (0.44) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.75 (0.37) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.89 (0.62) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Glomerular filtration rate (mL/min/m<span class="elsevierStyleSup">2</span>)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">77 (34) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">76 (38) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">66 (29) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">NTproBNP (pg/mL)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3200 (4890) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3266 (5920) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3099 (4935) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.091 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Echocardiogram</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">LVEF (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28 (7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">44 (3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">61 (9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Left ventricular end-diastolic diameter (mm)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">61 (20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">54 (9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">47 (7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Left ventricular end-systolic diameter (mm)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">52 (16) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">42 (8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">31 (6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Pulmonary artery systolic pressure (mmHg)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">39 (13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">40 (14) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">47 (19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2845757.png" ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Presence of lung crackles, clinical physical diagnosis of pleural effusion or radiological signs indicative of pleural effusion, interstitial oedema or alveolar oedema.</p>" ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">Presence of peripheral oedema, ascites, congestive hepatomegaly, or hepatojugular reflux.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Clinical characteristics of 1909 patients with heart failure according to their left ventricular ejection fraction (LVEF).</p>" ] ] 4 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0025" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variables \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">LVEF < 40% (n = 1404) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">LVEF 40−49% (n = 239) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">LVEF ≥ 50% (n = 266) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Beta blockers</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1371 (98%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">205 (86%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">186 (70%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers and/or sacubitril/valsartan</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1307 (93%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">191 (80%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">137 (52%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Angiotensin-converting enzyme inhibitors \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">917 (65%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">142 (59%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">88 (33%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Angiotensin II receptor blockers \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">262 (19%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">38 (16%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">53 (20%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.483 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Sacubitril- valsartan \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">478 (34%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37 (16%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8 (3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Mineralocorticoid receptor antagonists</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1164 (83%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">157 (66%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">146 (55%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Loop diuretics</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1225 (87%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">192 (80%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">230 (87%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.016 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Other diuretics</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">80 (6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21 (9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">22 (8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.084 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Digoxin</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">170 (12%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27 (11%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">33 (12%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.921 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Ivabradine</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">271 (19%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">22 (9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6 (2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Sodium-glucose cotransporter-2 inhibitors</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">99 (7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8 (3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 (0.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2845756.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Prescribing of main drug groups during the follow-up period in the specialised heart failure clinic in the three patient groups defined according to their left ventricular ejection fraction (LVEF).</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:17 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "2016 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "P. 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