was read the article
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"documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Med Clin. 2023;161:11-9" "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" => "Análisis de la relación entre la contaminación del aire ambiente y la gravedad de las descompensaciones por insuficiencia cardiaca en dos metrópolis españolas (Barcelona y Madrid)" "tienePdf" => "es" "tieneTextoCompleto" => "es" "tieneResumen" => array:2 [ 0 => "es" 1 => "en" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "11" "paginaFinal" => "19" ] ] "titulosAlternativos" => array:1 [ "en" => array:1 [ "titulo" => "Analysis of the relationship between ambient air pollution and the severity of heart failure decompensations in two Spanish metropolises (Barcelona and Madrid)" ] ] "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" => "fig1" "etiqueta" => "Figura 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1922 "Ancho" => 3311 "Tamanyo" => 339814 ] ] "descripcion" => array:1 [ "es" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Diagrama de inclusión de pacientes. EAHFE: <span class="elsevierStyleItalic">Epidemiology of Acute Heart Failure in Emergency departments.</span></p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Miguel Benito-Lozano, Pedro López-Ayala, Sergio Rodríguez, Pere Llorens, Alberto Domínguez-Rodríguez, Alfons Aguirre, Aitor Alquézar, Javier Jacob, Víctor Gil, Francisco Javier Martín-Sánchez, María Mir, Juan Antonio Andueza, Guillermo Burillo-Putze, Òscar Miró" "autores" => array:15 [ 0 => array:2 [ "nombre" => "Miguel" "apellidos" => "Benito-Lozano" ] 1 => array:2 [ "nombre" => "Pedro" "apellidos" => "López-Ayala" ] 2 => array:2 [ "nombre" => "Sergio" "apellidos" => "Rodríguez" ] 3 => array:2 [ "nombre" => "Pere" "apellidos" => "Llorens" ] 4 => array:2 [ "nombre" => "Alberto" "apellidos" => "Domínguez-Rodríguez" ] 5 => array:2 [ "nombre" => "Alfons" "apellidos" => "Aguirre" ] 6 => array:2 [ "nombre" => "Aitor" "apellidos" => "Alquézar" ] 7 => array:2 [ "nombre" => "Javier" "apellidos" => "Jacob" ] 8 => array:2 [ "nombre" => "Víctor" "apellidos" => "Gil" ] 9 => array:2 [ "nombre" => "Francisco Javier" "apellidos" => "Martín-Sánchez" ] 10 => array:2 [ "nombre" => "María" "apellidos" => "Mir" ] 11 => array:2 [ "nombre" => "Juan Antonio" "apellidos" => "Andueza" ] 12 => array:2 [ "nombre" => "Guillermo" "apellidos" => "Burillo-Putze" ] 13 => array:2 [ "nombre" => "Òscar" "apellidos" => "Miró" ] 14 => array:1 [ "colaborador" => "en representación del grupo ICA-SEMES" ] ] ] ] ] "idiomaDefecto" => "es" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S2387020623002401" "doi" => "10.1016/j.medcle.2023.02.012" "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/S2387020623002401?idApp=UINPBA00004N" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0025775323001434?idApp=UINPBA00004N" "url" => "/00257753/0000016100000001/v1_202306261002/S0025775323001434/v1_202306261002/es/main.assets" ] ] "itemSiguiente" => array:18 [ "pii" => "S2387020623002462" "issn" => "23870206" "doi" => "10.1016/j.medcle.2023.04.009" "estado" => "S300" "fechaPublicacion" => "2023-07-07" "aid" => "6250" "copyright" => "The Author(s)" "documento" => "article" "crossmark" => 1 "subdocumento" => "crp" "cita" => "Med Clin. 2023;161:20-3" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:12 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Prevalence and impact of cerebrovascular risk factors in patients with giant cell arteritis: An observational study from the Spanish national registry" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "20" "paginaFinal" => "23" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Prevalencia e impacto de los factores de riesgo cerebrovascular en pacientes con arteritis de células gigantes: un estudio observacional del registro nacional español" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Enrique Sánchez-Chica, María Martínez-Urbistondo, Ángela Gutiérrez Rojas, Raquel Castejón, Juan A. Vargas-Núñez, Víctor Moreno-Torres" "autores" => array:6 [ 0 => array:2 [ "nombre" => "Enrique" "apellidos" => "Sánchez-Chica" ] 1 => array:2 [ "nombre" => "María" "apellidos" => "Martínez-Urbistondo" ] 2 => array:2 [ "nombre" => "Ángela" "apellidos" => "Gutiérrez Rojas" ] 3 => array:2 [ "nombre" => "Raquel" "apellidos" => "Castejón" ] 4 => array:2 [ "nombre" => "Juan A." "apellidos" => "Vargas-Núñez" ] 5 => array:2 [ "nombre" => "Víctor" "apellidos" => "Moreno-Torres" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2387020623002462?idApp=UINPBA00004N" "url" => "/23870206/0000016100000001/v2_202311101438/S2387020623002462/v2_202311101438/en/main.assets" ] "itemAnterior" => array:18 [ "pii" => "S2387020623002449" "issn" => "23870206" "doi" => "10.1016/j.medcle.2023.02.013" "estado" => "S300" "fechaPublicacion" => "2023-07-07" "aid" => "6206" "copyright" => "Elsevier España, S.L.U." "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Med Clin. 2023;161:1-10" "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" => "Improvement of left ventricular ejection fraction in patients with heart failure with reduced ejection fraction: Predictors and clinical impact" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "1" "paginaFinal" => "10" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Impacto clínico a medio plazo de la mejoría de la fracción de eyección ventricular izquierda en pacientes con insuficiencia cardiaca con fracción de eyección reducida" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1692 "Ancho" => 2508 "Tamanyo" => 189516 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Kaplan–Meier curves of time to readmission for heart failure in patients with improved LVEF. Estimates of the probability of hospital readmission for heart failure for patients with HFimpEF and HFsrEF and patients at risk are shown. HFimpEF: Heart Failure with Improved Ejection Fraction; HFsrEF: Heart Failure with Sustained Reduced Ejection Fraction.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Jorge Perea-Armijo, José López-Aguilera, Rocío Sánchez-Prats, Juan Carlos Castillo-Domínguez, Rafael González-Manzanares, Martín Ruiz-Ortiz, Dolores Mesa-Rubio, Manuel Anguita-Sánchez" "autores" => array:9 [ 0 => array:2 [ "nombre" => "Jorge" "apellidos" => "Perea-Armijo" ] 1 => array:2 [ "nombre" => "José" "apellidos" => "López-Aguilera" ] 2 => array:2 [ "nombre" => "Rocío" "apellidos" => "Sánchez-Prats" ] 3 => array:2 [ "nombre" => "Juan Carlos" "apellidos" => "Castillo-Domínguez" ] 4 => array:2 [ "nombre" => "Rafael" "apellidos" => "González-Manzanares" ] 5 => array:2 [ "nombre" => "Martín" "apellidos" => "Ruiz-Ortiz" ] 6 => array:2 [ "nombre" => "Dolores" "apellidos" => "Mesa-Rubio" ] 7 => array:2 [ "nombre" => "Manuel" "apellidos" => "Anguita-Sánchez" ] 8 => array:1 [ "colaborador" => "on behalf of the working group of the Heart Failure Unit of Reina Sofia Hospital" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2387020623002449?idApp=UINPBA00004N" "url" => "/23870206/0000016100000001/v2_202311101438/S2387020623002449/v2_202311101438/en/main.assets" ] "en" => array:21 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Analysis of the relationship between ambient air pollution and the severity of heart failure decompensations in two Spanish metropolises (Barcelona and Madrid)" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "11" "paginaFinal" => "19" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Miguel Benito-Lozano, Pedro López-Ayala, Sergio Rodríguez, Pere Llorens, Alberto Domínguez-Rodríguez, Alfons Aguirre, Aitor Alquézar, Javier Jacob, Víctor Gil, Francisco Javier Martín-Sánchez, María Mir, Juan Antonio Andueza, Guillermo Burillo-Putze, Òscar Miró" "autores" => array:15 [ 0 => array:3 [ "nombre" => "Miguel" "apellidos" => "Benito-Lozano" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">1</span>" "identificador" => "fn0005" ] ] ] 1 => array:3 [ "nombre" => "Pedro" "apellidos" => "López-Ayala" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">1</span>" "identificador" => "fn0005" ] ] ] 2 => array:3 [ "nombre" => "Sergio" "apellidos" => "Rodríguez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 3 => array:3 [ "nombre" => "Pere" "apellidos" => "Llorens" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] ] 4 => array:3 [ "nombre" => "Alberto" "apellidos" => "Domínguez-Rodríguez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">e</span>" "identificador" => "aff0025" ] ] ] 5 => array:3 [ "nombre" => "Alfons" "apellidos" => "Aguirre" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">f</span>" "identificador" => "aff0030" ] ] ] 6 => array:3 [ "nombre" => "Aitor" "apellidos" => "Alquézar" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">g</span>" "identificador" => "aff0035" ] ] ] 7 => array:3 [ "nombre" => "Javier" "apellidos" => "Jacob" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">h</span>" "identificador" => "aff0040" ] ] ] 8 => array:3 [ "nombre" => "Víctor" "apellidos" => "Gil" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">i</span>" "identificador" => "aff0045" ] ] ] 9 => array:3 [ "nombre" => "Francisco Javier" "apellidos" => "Martín-Sánchez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">j</span>" "identificador" => "aff0050" ] ] ] 10 => array:3 [ "nombre" => "María" "apellidos" => "Mir" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">k</span>" "identificador" => "aff0055" ] ] ] 11 => array:3 [ "nombre" => "Juan Antonio" "apellidos" => "Andueza" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">l</span>" "identificador" => "aff0060" ] ] ] 12 => array:4 [ "nombre" => "Guillermo" "apellidos" => "Burillo-Putze" "email" => array:1 [ 0 => "gburillo@telefonica.net" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">e</span>" "identificador" => "aff0025" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 13 => array:3 [ "nombre" => "Òscar" "apellidos" => "Miró" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">i</span>" "identificador" => "aff0045" ] ] ] 14 => array:2 [ "colaborador" => "on behalf of the ICA-SEMES group" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">2</span>" "identificador" => "fn0010" ] ] ] ] "afiliaciones" => array:12 [ 0 => array:3 [ "entidad" => "Universidad de La Laguna, La Laguna, Santa Cruz de Tenerife, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Cardiovascular Research Institute Basel (CRIB) and Cardiology Department, University Hospital Basel, University of Basel, Basel, Switzerland" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Instituto de Productos Naturales y Agrobiología (IPNA), CSIC, La Laguna, Santa Cruz de Tenerife, Spain" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Servicio de Urgencias, Corta Estancia y Hospitalización a Domicilio, Hospital General Universitario Dr. Balmis, Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Universidad Miguel Hernández, Alicante, Spain" "etiqueta" => "d" "identificador" => "aff0020" ] 4 => array:3 [ "entidad" => "Facultad de Ciencias de la Salud, Universidad Europea de Canarias, La Orotava, Tenerife, Spain" "etiqueta" => "e" "identificador" => "aff0025" ] 5 => array:3 [ "entidad" => "Servicio de Urgencias, Hospital del Mar, Barcelona, Spain" "etiqueta" => "f" "identificador" => "aff0030" ] 6 => array:3 [ "entidad" => "Servicio de Urgencias, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain" "etiqueta" => "g" "identificador" => "aff0035" ] 7 => array:3 [ "entidad" => "Servicio de Urgencias, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat, Barcelona, Spain" "etiqueta" => "h" "identificador" => "aff0040" ] 8 => array:3 [ "entidad" => "Área de Urgencias, Hospital Clínic, Instituto de Investigaciones Biomédicas August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain" "etiqueta" => "i" "identificador" => "aff0045" ] 9 => array:3 [ "entidad" => "Servicio de Urgencias, Hospital Clínico San Carlos, Madrid, Spain" "etiqueta" => "j" "identificador" => "aff0050" ] 10 => array:3 [ "entidad" => "Servicio de Urgencias, Hospital Universitario Infanta Leonor, Madrid, Spain" "etiqueta" => "k" "identificador" => "aff0055" ] 11 => array:3 [ "entidad" => "Servicio de Urgencias, Hospital General Universitario Gregorio Marañón, Madrid, Spain" "etiqueta" => "l" "identificador" => "aff0060" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Análisis de la relación entre la contaminación del aire ambiente y la gravedad de las descompensaciones por insuficiencia cardiaca en dos metrópolis españolas (Barcelona y Madrid)" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1922 "Ancho" => 3311 "Tamanyo" => 334577 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0030" "detalle" => "Fig. " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Patient inclusion diagram. EAHFE: <span class="elsevierStyleItalic">Epidemiology of Acute Heart Failure in Emergency departments</span>.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Numerous epidemiological and observational studies have shown that poor air quality due to air pollutants has an impact on cardiovascular health.<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1–4</span></a> WHO estimates that ambient air pollution causes about 8 million premature deaths worldwide each year, and that 40% of these deaths are due to cardiovascular causes.<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a> Even brief exposures have been associated with increases in cardiovascular mortality,<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">6,7</span></a> particularly in susceptible populations and those with comorbidities, including cardiovascular conditions.</p><p id="par0010" class="elsevierStylePara elsevierViewall">In this regard, heart failure (HF) is a growing public health problem affecting more than 23 million people worldwide, with an increasing prevalence in older people.<a class="elsevierStyleCrossRefs" href="#bib0040"><span class="elsevierStyleSup">8–10</span></a> It has a high mortality, which occurs especially during episodes of decompensation. Thus, acute HF (AHF) is one of the most common reasons for hospitalisation and re-hospitalisation in the elderly, accounting for 5% of all hospital discharge diagnoses. Mortality at one year of the AHF episode is around 30%.<a class="elsevierStyleCrossRefs" href="#bib0055"><span class="elsevierStyleSup">11–13</span></a> Triggers for AHF, especially in susceptible individuals, are therefore a major public health concern. Numerous causes of decompensation,<a class="elsevierStyleCrossRefs" href="#bib0070"><span class="elsevierStyleSup">14,15</span></a> as well as factors associated with an increased risk of developing adverse events have been described over the past decades.<a class="elsevierStyleCrossRefs" href="#bib0080"><span class="elsevierStyleSup">16–18</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">The relationship between ambient air quality and the outcome of HF patients has been less studied, in contrast to the extensive knowledge on the relationship between air quality and acute cardiovascular diseases such as myocardial infarction.<a class="elsevierStyleCrossRefs" href="#bib0095"><span class="elsevierStyleSup">19–21</span></a> However, the associations found between air pollution and acute coronary syndrome cannot be directly translated, as there are major differences in the mechanisms that trigger myocardial infarction compared to AHF.<a class="elsevierStyleCrossRefs" href="#bib0110"><span class="elsevierStyleSup">22–24</span></a> In addition, much of the previous research has consisted of epidemiological studies based on time series analysis in general populations investigating the incidence of specific cardiovascular diseases, including HF<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> or global or cardiovascular patterns of mortality related to environmental conditions.<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a> Surprisingly, none have analysed the severity of decompensations and the risk of adverse events in AHF in relation to ambient air pollutants in cohorts of HF patients. Therefore, our aim was to investigate the relationship between air pollution and the severity of HF decompensation using a cohort of patients that included both inpatients and outpatients treated for HF decompensation, i.e., severe and not so severe patients.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Method</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Scope of the study</span><p id="par0020" class="elsevierStylePara elsevierViewall">The present study is a sub-analysis of the EAHFE Registry. The EAHFE Registry is a prospective, multi-centre cohort study initiated in 2007. Every 2–3 years it conducts a 1–2 month screening of all consecutive patients diagnosed with AHF in Spanish hospital emergency departments (EDs) participating in the project. There is no planned intervention and patient management is based entirely on the decisions of the treating physician in the ED. The only exclusion criterion is the development of AHF during ST-segment elevation myocardial infarction, as many of these patients go directly to the cath lab for revascularisation, bypassing the ED. To date, 7 screening phases have been carried out (2007, 2009, 2011, 2014, 2016, 2018 and 2019), 45 EDs from Spanish regional and reference hospitals have participated (representing around 15% of the hospitals in the Spanish public health system), and 19,947 patients with AHF have been included. The details of the dynamics of inclusion and the working protocol have been previously published.<a class="elsevierStyleCrossRefs" href="#bib0055"><span class="elsevierStyleSup">11,25,26</span></a></p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Study design</span><p id="par0025" class="elsevierStylePara elsevierViewall">Patients diagnosed with decompensated HF in the emergency department of 4 hospitals in Barcelona (Hospital Clínic, Hospital de la Santa Creu i Sant Pau, Hospital del Mar and Hospital Universitari de Bellvitge) and 3 in Madrid (Hospital Clínico San Carlos, Hospital Universitario Gregorio Marañón and Hospital Universitario Infanta Leonor) and included in the EAHFE registry during phases 2–7 (in total, 336 days of inclusion) were included. Clinical data were collected for these patients, including age, sex, 13 comorbidities and 2 variables of their baseline functional status: degree of dependency according to the Barthel index and respiratory class according to the NYHA scale. In addition, 2 atmospheric variables, maximum daily temperature and pressure, were collected, which may influence the severity of decompensations.<a class="elsevierStyleCrossRefs" href="#bib0135"><span class="elsevierStyleSup">27,28</span></a> Following the methodology used in other studies, the atmospheric pressure was expressed as a pressure anomaly, which is the difference between the maximum pressure of each day and the average maximum pressure of that city.<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">29</span></a> This corrects for the difference in atmospheric pressure between Barcelona and Madrid due to their different altitude above sea level.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Exposure variable</span><p id="par0030" class="elsevierStylePara elsevierViewall">The air pollutant measurements were carried out by the air quality monitoring network, managed by the Generalitat de Catalunya (Catalonia Government), the Comunidad de Madrid (Madrid Community Government) and the Ayuntamiento de Madrid (Madrid City Council), under the coordination of the Ministerio para la Transición Ecológica y el Reto Demográfico (Ministry for Ecological Transition and the Demographic Challenge). Daily average concentrations were collected for 4 gaseous pollutants (sulphur dioxide [SO<span class="elsevierStyleInf">2</span>], nitrogen dioxide [NO<span class="elsevierStyleInf">2</span>], carbon monoxide [CO] and ozone [O<span class="elsevierStyleInf">3</span>]) and particulate matter smaller than 10 and 2.5<span class="elsevierStyleHsp" style=""></span>μ, i.e., PM<span class="elsevierStyleInf">10</span> and PM<span class="elsevierStyleInf">2.5</span>, respectively, on the day of the patient’s visit to ED. The levels of pollutants and particulate matter on the day of the ED visit were chosen to be recorded following the methodology of similar recent studies that assess ED care in terms of environmental pollution.<a class="elsevierStyleCrossRefs" href="#bib0150"><span class="elsevierStyleSup">30,31</span></a></p><p id="par0035" class="elsevierStylePara elsevierViewall">The data corresponding to the hospitals in Barcelona were obtained from the data portal of the Generalitat de Catalunya, in the section corresponding to environment and sustainability: automatic data download.<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">32</span></a> It contains hourly data on pollutants collected at the automatic measuring points of the Air Pollution Monitoring and Forecasting Network since 1991. The Barcelona Sants and Barcelona Eixample stations were chosen because between them all pollutants were accessible throughout the study period (except for PM<span class="elsevierStyleInf">2.5</span> concentrations in 2009, which were not recorded) and because they are located in the city centre and close to the participating hospitals (less than 5<span class="elsevierStyleHsp" style=""></span>km away). Air quality data for hospitals in Madrid were obtained from the open data portal of the Madrid City Council, under data catalogue: air quality, where daily data since 2001<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a> can be found. The measurements used were specifically those collected at the Escuelas Aguirre measurement station, which had data available for all pollutants during the whole study period and is located in the centre of Madrid and close to the participating hospitals (less than 5<span class="elsevierStyleHsp" style=""></span>km away).</p><p id="par0040" class="elsevierStylePara elsevierViewall">Units are expressed in μg/m<span class="elsevierStyleSup">3</span> for all pollutants except CO, which is expressed in mg/m<span class="elsevierStyleSup">3</span>. At all stations, air pollutants were measured using the EU reference methods: ultraviolet fluorescence (SO<span class="elsevierStyleInf">2</span>), chemiluminescence (NO<span class="elsevierStyleInf">2</span>), non-dispersive infrared absorption (CO), ultraviolet absorption (O<span class="elsevierStyleInf">3</span>) and oscillating microbalance technique converted to gravimetric equivalents (PM<span class="elsevierStyleInf">10</span> and PM<span class="elsevierStyleInf">2,5</span>).</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Outcome variables</span><p id="par0045" class="elsevierStylePara elsevierViewall">Severity of decompensation was estimated by all-cause mortality during the 7 days following ED consultation, and this was the primary outcome indicator. As secondary indicators, the need for admission after emergency care, in-hospital mortality for hospitalised patients, and prolonged hospitalisation (>7 days) for hospitalised patients discharged alive after such hospitalisation were used. To determine the occurrence of the episode, medical records were reviewed or patients or their relatives were contacted by telephone when there were no clear data in the medical records or access to them was not possible. Episode adjudication was done locally by the principal investigator of the centre, without external review.</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Statistical analysis</span><p id="par0050" class="elsevierStylePara elsevierViewall">Qualitative data are expressed as absolute frequencies and percentages, and quantitative data as medians and interquartile range (IQR). A two-pronged approach was used to analyse the association between severity criteria and ambient air pollutant concentrations. On the one hand, it was assumed that there was linearity in the relationship between them, as has been the case in many of the studies published so far and in the meta-analysis published by Shah et al.<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">34</span></a> For this, a logistic regression analysis was used and the increase in <span class="elsevierStyleItalic">odds ratio</span> (OR, with its 95% confidence interval [CI]) of episode per unit increase in pollutant was calculated. This estimate was adjusted for clinical and atmospheric variables, city and other pollutants studied. On the other hand, to avoid imposing linearity, we have used a restricted cubic <span class="elsevierStyleItalic">spline</span> (RCS) function to model the continuous association of pollutant concentration and the primary and secondary indicators of decompensation severity. Five <span class="elsevierStyleItalic">spline</span> knots were placed at the 5th, 27.5, 50th, 50th, 72.5 and 95th centiles of the marginal distribution of each continuous variable, following Harrel’s recommendations.<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">35</span></a> The magnitude of the effect of each contaminant unit change was assessed by logistic regression and dose-response curves were used to represent the ORs and their 95% CIs, adjusted for the same covariates defined for logistic regression. The choice of reference pollutant concentration values for the calculation of the ORs in the dose-response plots was made on the basis of biological, environmental and sample distribution criteria. No replacement of missing values was carried out. All hypothesis tests were 2-tailed and p-values of p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05, or OR with 95% CI excluding value 1, were considered statistically significant. Data analysis was performed with Statistical Package for Social Sciences version 23.0 (IBM, Armonk, NY, USA) and Stata version 16.1 (Stata Corp, College Station, TX, USA), and some graphs were prepared with Microsoft Office Power Point version 2019 (Microsoft Corporate Office, Redmond, Washington, USA).</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Ethical considerations</span><p id="par0055" class="elsevierStylePara elsevierViewall">The ethical principles of the Declaration of Helsinki were followed and informed consent was sought from all patients to participate in the study. The EAHFE registry protocol was approved by the Clinical Research Ethics Committee of the Hospital Universitario Central de Asturias as the main committee (protocols 49/2010, 69/2011, 166/13, 160/15 and 205/17), and by those of the rest of the participating centres.</p></span></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Results</span><p id="par0060" class="elsevierStylePara elsevierViewall">5292<span class="elsevierStyleHsp" style=""></span>HF decompensations were included, 3231 in Barcelona and 2061 in Madrid (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>). The median age of the patients was 83 years (IQR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>76–88) and 56% were women. Patients had many comorbidities, and more than half had hypertension, previous HF decompensations, dyslipidaemia and atrial fibrillation (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>). As regards their baseline status, 22.4% were in NYHA respiratory class <span class="elsevierStyleSmallCaps">iii</span>–<span class="elsevierStyleSmallCaps">iv</span> and 61,9% had some degree of dependency (Barthel index<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>100 points), which was severe or absolute in 15.6% of cases (Barthel<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>60 points). The median (IQR) daily average pollutant concentrations were: SO<span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>2,5<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (1,4–7,0), NO<span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>43<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (34–57), CO<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,48<span class="elsevierStyleHsp" style=""></span>mg/m<span class="elsevierStyleSup">3</span> (0,35–0,63), O<span class="elsevierStyleInf">3</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>35<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (25–48), PM<span class="elsevierStyleInf">10</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>22<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (15–31) y PM<span class="elsevierStyleInf">2,5</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>12<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (8–17). The distribution of these daily mean concentrations on the study days is shown in <a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>. The number of missing data was less than 1% for most of the variables collected, and none of them exceeded 10% (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>).</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0065" class="elsevierStylePara elsevierViewall">Seven-day mortality was 3.9%, and hospitalisation, in-hospital mortality and prolonged hospitalisation were 78.9, 6.9 and 47.5%, respectively (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>). No environmental pollutant showed a significant linear association with severity indicators, with the exception of the direct relationship between SO<span class="elsevierStyleInf">2</span> concentration and need for hospitalisation (OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1.04, 95% CI 1.01–1.08; <a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>). All other associations were very close to zero, and only CO concentration showed a tendency to be associated with 7-day mortality (OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1.04, 95% CI 0.97–1.10) or in-hospital mortality (OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1.03, 95% CI 0.98–1.08; <a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>).</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia><p id="par0070" class="elsevierStylePara elsevierViewall">The study using RCS curves also showed no clear associations between pollutant concentration and severity of decompensation (Appendix B — Supplementary Fig.). The specific analysis of the relationship between SO<span class="elsevierStyleInf">2</span> concentration and need for hospitalisation showed association starting at concentrations of 15<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (OR of 1.55 compared to the reference concentration of 5<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span>, 95% CI 1.01–2.36) and rising with increasing concentrations, reaching an OR of 2.71 for a concentration of 24<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (95% CI 1.13–6.49) (<a class="elsevierStyleCrossRef" href="#fig0020">Fig. 4</a>). Dose-response curves for the relationship between CO and mortality showed no associations (Appendix B Supplementary Fig.).</p><elsevierMultimedia ident="fig0020"></elsevierMultimedia></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Discussion</span><p id="par0075" class="elsevierStylePara elsevierViewall">Air pollution is increasingly recognised as an important and modifiable determinant of cardiovascular disease in urban communities. Acute exposure has been associated with a variety of adverse cardiovascular events, including hospital admissions with angina, myocardial infarction and HF.<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">19</span></a> Air pollution has a strong temporal association with HF hospitalisation and mortality. Although more studies in developing countries are needed to confirm the findings of studies conducted mostly in developed countries, air pollution is a widespread public health problem with important cardiovascular and health economic consequences and should remain a key target for global health policy.<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">34</span></a></p><p id="par0080" class="elsevierStylePara elsevierViewall">The present study found no overall significant association between air pollutants and severity of decompensation in a cohort of HF patients. We have only identified some association between the need for hospitalisation and SO<span class="elsevierStyleInf">2</span> concentrations, with an OR of 1.04 for hospitalisation per each μg/m<span class="elsevierStyleSup">3</span> unit increase in SO<span class="elsevierStyleInf">2</span>. The apparent relationship between CO and mortality found in the linear model was not confirmed in the RCS analysis. These relatively neutral findings contrast with previous studies that have shown a relationship between pollution and the number of hospitalisations and HF deaths. Specifically, the meta-analysis by Shah et al.<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">34</span></a> showed that HF hospitalisation was associated with all pollutants analysed in our study, and HF mortality with all but CO and PM<span class="elsevierStyleInf">10</span>. In their study, the magnitudes of the associations ranged from 1 to 3% increments for each unit increase in pollutant.</p><p id="par0085" class="elsevierStylePara elsevierViewall">Possible reasons for this discrepancy include the fact that pollution in Barcelona and Madrid was not very high in the periods analysed. Thus, analysing the pollutant distributions, the median (IQR) of the daily pollutant averages were: SO<span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>2,5<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (1,4–7,0), NO<span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>43<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (34–57), CO<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,48<span class="elsevierStyleHsp" style=""></span>mg/m<span class="elsevierStyleSup">3</span> (0,35–0,63), O<span class="elsevierStyleInf">3</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>35<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (25–48), PM<span class="elsevierStyleInf">10</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>22<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (15–31) and PM<span class="elsevierStyleInf">2,5</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>12<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (8–17). In this sense, when analysing the data in <a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>, the only pollutant that shows relatively high levels (and not very high) is SO<span class="elsevierStyleInf">2</span>, precisely the only one that showed some association with the severity of decompensation, and specifically with the need for hospitalisation. The rest of the pollutants show rather low values during all study days, indicating that the lack of association with these other pollutants may have been because there was no record of days with high concentrations of these other pollutants. Alternatively, or in addition, it could be that estimation in the form of daily averages may not have captured peaks of maximum pollution, which may last only a few hours. Finally, it is possible that the effects of pollution on patients with chronic diseases, such as HF, may be cumulative over days, and a point estimate may not allow a significant association to be found. In this respect, we should be cautious, as our study design only shows an absence of evidence and does not confirm an absence of effect of the pollutant on the severity of AHF decompensation. The study by Díaz-Chirón et al.,<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">36</span></a> which related the size of the infarct area in patients with acute coronary syndrome to the concentration of SO<span class="elsevierStyleInf">2</span>, NO<span class="elsevierStyleInf">2</span>, CO, O<span class="elsevierStyleInf">3</span>, benzene, toluene, xylene and particulate matter in 216 patients in Asturias, only found a relationship in the multivariate analysis with SO<span class="elsevierStyleInf">2</span> levels. However, that study used a 7-day lag in the environmental data prior to the cardiovascular event. Along the same lines, the only noteworthy relationship in our study is precisely the one established between SO2 and the need for hospitalisation. Hospitalisation is a sensitive marker of the effects of pollution as a trigger for acute processes, such as acute asthma episodes.<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">37</span></a> AHF is also among these processes.</p><p id="par0090" class="elsevierStylePara elsevierViewall">We found no association with mortality either at 7 days (primary study indicator) or during hospitalisation (in-hospital). In this case, it is possible that since the study only recorded all-cause mortality, without distinguishing between cardiovascular and non-cardiovascular causes of death, it cannot be compared with previous studies. A more detailed analysis of the causes of death could have helped to better explain the true cardiovascular effect of the ambient air pollutants studied. However, we should be cautious as our study only shows an absence of evidence and does not confirm evidence of no effect of most pollutants on the severity of AHF decompensation.</p><p id="par0095" class="elsevierStylePara elsevierViewall">Finally, our study underlines the importance of a more flexible and dynamic analysis of the relationship between a continuous variable, such as pollutant concentration, and an outcome. Indeed, the assumption of a linear relationship between them may ignore important relationships between disease, physiology and prognosis. This can be seen in our study, which, when using RCS-based models, provided more detailed data on the associations between pollutants and severity of decompensation (in particular SO<span class="elsevierStyleInf">2</span> and hospitalisation). Therefore, there is an opportunity for artificial intelligence applications, some of which have been shown to perform better on such variables, whereby this same technology could offer solutions for the analysis between environmental variables and health outcomes in both healthy and chronically ill populations.<a class="elsevierStyleCrossRefs" href="#bib0190"><span class="elsevierStyleSup">38,39</span></a></p><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Limitations</span><p id="par0100" class="elsevierStylePara elsevierViewall">Firstly, several confounding factors make it difficult to study ambient air pollution-related morbidity and mortality. Although daily atmospheric temperature and pressure were taken into account, other conditions such as wind, humidity or trends in changes over the immediately preceding or following days were not included in our models. In this sense, the analysis of the average pollution values on the days prior to the ED consultation could perhaps have yielded a different result. However, Rodríguez et al. showed that admissions for cardiovascular disease in Castilla-La Mancha were not related to the concentration of PM<span class="elsevierStyleInf">2.5</span>, PM<span class="elsevierStyleInf">10</span> and NO<span class="elsevierStyleInf">2</span> and daily cardiovascular hospitalisations even considering an exposure period of up to 7 days prior to emergency department care.<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">40</span></a> Second, some pollutants, such as ozone, have a strong seasonal cycle, with high levels in summer and low levels in the other seasons, especially in winter. Our study did not include the summer season and most days were winter days, so this may have influenced our inability to demonstrate an association for this pollutant. Third, this study was carried out in the urban areas of Barcelona and Madrid, and not all pollutants reach their highest concentrations in these areas. Thus, ozone is often elevated in rural areas on a regional level because its reaction with fresh nitric oxide from vehicle exhaust emissions leads to its titration. In addition, and in comparison with other studies, the pollution values on the days studied were not excessively high. This may have limited the number of positive associations found between contaminants and severity of AHF decompensation. Fourth, although the sample was large, some estimates may have been subject to a type-II error, as no sample size calculation was performed. Therefore, the lack of statistical significance should be interpreted as “no evidence” rather than “evidence of absence” of a relationship between pollution and severity of AHF episode. Fifth, since there was no replacement of missing values, there may have been a bias in the event that the loss of values did not occur by chance, which we are unable to determine. Sixth, the adjudication of the results was carried out at the local level. However, we use easily identifiable and unambiguous results to overcome the need for external adjudication. Seventh, although performed in a single country, the organisation of care for HF patients is not uniform in all Spanish territories,<a class="elsevierStyleCrossRefs" href="#bib0205"><span class="elsevierStyleSup">41,42</span></a> and different strategies for patient hospitalisation may affect the results. On the other hand, Spain has a national public health system that may impact on health outcomes in a different way than other systems, so external validation is necessary prior to the generalisation of these results. Eighth, measurements of pollutants and particulate matter in the hospital area may not reflect the reality of exposure for a number of patients whose residence is far away from the hospital. However, the health policy in Barcelona and Madrid is that each patient is treated in his or her reference hospital, a fact that is fulfilled in a high percentage of cases, and therefore we believe that measurements in the hospital area can be very close to those of the patient’s home area in most cases. Finally, since this study was conducted in a real-life registry setting, it included a high percentage of elderly patients with AHF (who are usually excluded from clinical trials), predominantly with preserved ejection fraction, in whom frailty and dependency are common, and these are 2 factors strongly related to mortality.<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">24</span></a></p></span></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Conclusion</span><p id="par0105" class="elsevierStylePara elsevierViewall">Ambient air pollutants are not clearly related to the severity of HF decompensations in cities with moderate concentrations of ambient air pollutants, such as those recorded in the present study in Barcelona and Madrid during the period 2007–2019. Only an association between increased SO<span class="elsevierStyleInf">2</span> concentration and the need for HF hospitalisation was observed. Further studies analysing the relationship between ambient air pollutants and the severity of HF decompensation, with the help of artificial intelligence applications, would be needed.</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Funding</span><p id="par0110" class="elsevierStylePara elsevierViewall">This work was made possible in part by grants from the Instituto de Salud Carlos III with funding from the <span class="elsevierStyleGrantSponsor" id="gs0005">Ministry of Health and FEDER</span> (<span class="elsevierStyleGrantNumber" refid="gs0005">PI15/01019</span>, <span class="elsevierStyleGrantNumber" refid="gs0005">PI18/00393</span>), <span class="elsevierStyleGrantSponsor" id="gs0010">La Marató de TV3</span> (<span class="elsevierStyleGrantNumber" refid="gs0010">2015</span>/<span class="elsevierStyleGrantNumber" refid="gs0010">2510</span>) and the <span class="elsevierStyleGrantSponsor" id="gs0015">Generalitat de Catalunya</span> for consolidated research groups (GRC <span class="elsevierStyleGrantNumber" refid="gs0015">2009/1385</span>, <span class="elsevierStyleGrantNumber" refid="gs0015">2014/0313</span>, <span class="elsevierStyleGrantNumber" refid="gs0015">2017/1424</span>).</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Conflict of interest</span><p id="par0115" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflict of interest with respect to this study.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:12 [ 0 => array:3 [ "identificador" => "xres2008320" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objectives" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Method" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1720688" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres2008321" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivos" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Método" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusión" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec1720689" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Method" "secciones" => array:6 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Scope of the study" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Study design" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Exposure variable" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Outcome variables" ] 4 => array:2 [ "identificador" => "sec0035" "titulo" => "Statistical analysis" ] 5 => array:2 [ "identificador" => "sec0040" "titulo" => "Ethical considerations" ] ] ] 6 => array:2 [ "identificador" => "sec0045" "titulo" => "Results" ] 7 => array:3 [ "identificador" => "sec0050" "titulo" => "Discussion" "secciones" => array:1 [ 0 => array:2 [ "identificador" => "sec0055" "titulo" => "Limitations" ] ] ] 8 => array:2 [ "identificador" => "sec0060" "titulo" => "Conclusion" ] 9 => array:2 [ "identificador" => "sec0065" "titulo" => "Funding" ] 10 => array:2 [ "identificador" => "sec0070" "titulo" => "Conflict of interest" ] 11 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2022-12-19" "fechaAceptado" => "2023-02-26" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1720688" "palabras" => array:4 [ 0 => "Acute heart failure" 1 => "Contamination" 2 => "Mortality" 3 => "Emergency Department" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1720689" "palabras" => array:4 [ 0 => "Insuficiencia cardiaca aguda" 1 => "Contaminación del aire ambiente" 2 => "Mortalidad" 3 => "Servicios de urgencias" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objectives</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">To analyze whether the high levels of air pollutants are related to a greater severity of decompensated heart failure (HF).</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Method</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Patients diagnosed with decompensated HF in the emergency department of 4 hospitals in Barcelona and 3 in Madrid were included. Clinical data (age, sex, comorbidities, baseline functional status), atmospheric (temperature, atmospheric pressure) and pollutant data (SO<span class="elsevierStyleInf">2</span>, NO<span class="elsevierStyleInf">2</span>, CO, O<span class="elsevierStyleInf">3</span>, PM<span class="elsevierStyleInf">10</span>, PM<span class="elsevierStyleInf">2.5</span>) were collected in the city on the day of emergency care. The severity of decompensation was estimated using 7-day mortality (primary indicator) and the need for hospitalization, in-hospital mortality, and prolonged hospitalization (secondary indicators). The association adjusted for clinical, atmospheric and city data between pollutant concentration and severity was investigated using linear regression (linearity assumption) and restricted cubic spline curves (no linearity assumption).</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">A total of 5292 decompensations were included, with a median age of 83 years (IQR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>76–88) and 56% women. The medians (IQR) of the daily pollutant averages were: SO<span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>2.5<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (1.4–7.0), NO<span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>43<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (34–57), CO<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.48<span class="elsevierStyleHsp" style=""></span>mg/m<span class="elsevierStyleSup">3</span> (0.35–0.63), O<span class="elsevierStyleInf">3</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>35<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (25–48), PM<span class="elsevierStyleInf">10</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>22<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (15–31) and PM<span class="elsevierStyleInf">2.5</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>12<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (8–17). Mortality at 7 days was 3.9%, and hospitalization, in-hospital mortality, and prolonged hospitalization were 78.9, 6.9, and 47.5%, respectively. SO<span class="elsevierStyleInf">2</span> was the only pollutant that showed a linear association with the severity of decompensation, since each unit of increase implied an OR for the need for hospitalization of 1.04 (95% CI 1.01–1.08). The restricted cubic spline curves study also did not show clear associations between pollutants and severity, except for SO<span class="elsevierStyleInf">2</span> and hospitalization, with OR of 1.55 (95% CI 1.01–2.36) and 2.71 (95% CI 1.13–6.49) for concentrations of 15 and 24<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span>, respectively, in relation to a reference concentration of 5<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span>.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusion</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Exposure to ambient air pollutants, in a medium to low concentration range, is generally not related to the severity of HF decompensations, and only SO<span class="elsevierStyleInf">2</span> may be associated with an increased need for hospitalization.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objectives" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Method" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Objetivos</span><p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Analizar si la exposición a contaminantes del aire en 2 grandes ciudades españolas está relacionada con la gravedad de las descompensaciones de la insuficiencia cardiaca (IC).</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Método</span><p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Se estudiaron pacientes con IC descompensada en urgencias de 4 hospitales de Barcelona y 3 de Madrid. Se recogieron datos clínicos (edad, sexo, comorbilidades, situación funcional basal), atmosféricos (temperatura, presión atmosférica) y de contaminantes (SO<span class="elsevierStyleInf">2</span>, NO<span class="elsevierStyleInf">2</span>, CO, O<span class="elsevierStyleInf">3</span>, PM<span class="elsevierStyleInf">10</span>, PM<span class="elsevierStyleInf">2,5</span>) el día de atención en urgencias. La gravedad de la descompensación se estimó mediante la mortalidad a 7 días (indicador primario) y la necesidad de hospitalización, mortalidad intrahospitalaria y hospitalización prolongada (indicadores secundarios). Se investigó la asociación ajustada por datos clínicos, atmosféricos y ciudad entre concentración de contaminantes y gravedad, mediante regresión logística (asunción de linealidad) y curvas <span class="elsevierStyleItalic">spline</span> cúbicas restringidas (no asunción de linealidad).</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Se incluyeron 5.292 descompensaciones, con edad mediana de 83 años (RIC<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>76–88) y 56% mujeres. Las medianas (RIC) de los promedios diarios de contaminantes fueron: SO<span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>2,5<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (1,4–7,0), NO<span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>43<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (34–57), CO<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,48<span class="elsevierStyleHsp" style=""></span>mg/m<span class="elsevierStyleSup">3</span> (0,35–0,63), O<span class="elsevierStyleInf">3</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>35<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (25–48), PM<span class="elsevierStyleInf">10</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>22<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (15–31) y PM<span class="elsevierStyleInf">2,5</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>12<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span> (8–17). La mortalidad a 7 días fue del 3,9%, y la hospitalización, la mortalidad intrahospitalaria y la hospitalización prolongada, del 78,9, 6,9 y 47,5%, respectivamente. El SO<span class="elsevierStyleInf">2</span> fue el único contaminante que mostró asociación lineal con la gravedad de la descompensación, ya que cada unidad de incremento supuso una OR para necesidad de hospitalización de 1,04 (IC 95% 1,01–1,08). El estudio mediante curvas <span class="elsevierStyleItalic">spline</span> cúbicas restringidas tampoco mostró asociaciones nítidas entre contaminantes y gravedad, excepto para SO<span class="elsevierStyleInf">2</span> y hospitalización, con OR de 1,55 (IC 95% 1,01–2,36) y de 2,71 (IC 95% 1,13–6,49) para concentraciones de 15 y 24<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span>, respectivamente, en relación con una concentración de referencia de 5<span class="elsevierStyleHsp" style=""></span>μg/m<span class="elsevierStyleSup">3</span>.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusión</span><p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">La exposición a contaminantes del aire ambiente, en un rango de concentraciones medio a bajo, en general no está relacionado con la gravedad de las descompensaciones de la IC, y solo el SO<span class="elsevierStyleInf">2</span> podría estar asociado a una mayor necesidad de hospitalización.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivos" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Método" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusión" ] ] ] ] "NotaPie" => array:2 [ 0 => array:3 [ "etiqueta" => "1" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Both authors had the same contribution to the article and both should be considered as first authors.</p>" "identificador" => "fn0005" ] 1 => array:3 [ "etiqueta" => "2" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">The names of the components of the ICA-SEMES group are listed in <a class="elsevierStyleCrossRef" href="#sec0075">Appendix A</a>.</p>" "identificador" => "fn0010" ] ] "apendice" => array:1 [ 0 => array:1 [ "seccion" => array:2 [ 0 => array:4 [ "apendice" => "<p id="par0120" class="elsevierStylePara elsevierViewall">Marta Fuentes, Cristina Gil (Hospital Universitario de Salamanca), Héctor Alonso, Enrique Pérez-Llantada (Hospital Marqués de Valdecilla de Santander), Francisco Javier Martín-Sánchez, Guillermo Llopis García, Mar Suárez Cadenas (Hospital Clínico San Carlos de Madrid), Òscar Miró, Víctor Gil, Rosa Escoda, Sira Aguiló, Carolina Sánchez (Hospital Clínic de Barcelona), Carmen Gargallo (Hospital Politécnic La Fe de Valencia), José Pavón (Hospital Dr. Negrín de Las Palmas de Gran Canaria), Antonio Noval (Hospital Insular de Las Palmas de Gran Canaria), María Luisa López-Grima, Amparo Valero, María Ángeles Juan (Hospital Dr. Peset de Valencia), Alfons Aguirre, Maria Angels Pedragosa, Silvia Mínguez Masó (Hospital del Mar de Barcelona), María Isabel Alonso, Francisco Ruiz (Hospital de Valme de Sevilla), José Miguel Franco (Hospital Miguel Servet de Zaragoza), Ana Belén Mecina (Hospital de Alcorcón, Madrid), Josep Tost, Marta Berenguer, Ruxandra Donea (Consorci Sanitari de Terrassa, Barcelona), Susana Sánchez Ramón, Virginia Carbajosa Rodríguez (Hospital Universitario Río Hortega de Valladolid), Pascual Piñera, José Andrés Sánchez Nicolás (Hospital Reina Sofía de Murcia), Raquel Torres Garate (Hospital Severo Ochoa de Madrid), Aitor Alquézar-Arbé, Miguel Alberto Rizzi, Sergio Herrera (Hospital de la Santa Creu i Sant Pau de Barcelona), Javier Jacob, Alex Roset, Irene Cabello, Antonio Haro (Hospital Universitari de Bellvitge de Barcelona), Fernando Richard, José María Álvarez Pérez, María Pilar López Diez (Hospital Universitario de Burgos), Pablo Herrero Puente, Joaquín Vázquez Álvarez, Belén Prieto García, María García García, Marta Sánchez González (Hospital Universitario Central de Asturias, Oviedo), Pere Llorens, Patricia Javaloyes, Inmaculada Jiménez, Néstor Hernández, Begoña Espinosa, Adriana Gil, Francisca Molina, Tamara García (Hospital General de Alicante), Juan Antonio Andueza (Hospital General Universitario Gregorio Marañón de Madrid), Rodolfo Romero (Hospital Universitario de Getafe, Madrid), Martín Ruíz, Roberto Calvache (Hospital del Henares de Coslada, Madrid), María Teresa Lorca Serralta, Luis Ernesto Calderón Jave (Hospital del Tajo de Aranjuez, Madrid), Beatriz Amores Arriaga, Beatriz Sierra Bergua (Hospital Clínico Lozano Blesa de Zaragoza), Enrique Martín Mojarro, Brigitte Silvana Alarcón Jiménez (Hospital Sant Pau i Santa Tecla de Tarragona), Lisette Travería Bécquer, Guillermo Burillo (Hospital Universitario de Canarias de La Laguna, Tenerife), Lluís Llauger García, Gerard Corominas LaSalle (Hospital Universitari de Vic, Barcelona), Carmen Agüera Urbano, Ana Belén García Soto, Elisa Delgado Padial (Hospital Costa del Sol de Marbella, Málaga), Ester Soy Ferrer, María Adroher Muñoz (Hospital Josep Trueta de Girona), José Manuel Garrido (Hospital Virgen Macarena de Sevilla), Francisco Javier Lucas-Imbernón (Hospital General Universitario de Albacete), Rut Gaya (Hospital Juan XXIII de Marbella, Málaga), Francisco Javier Lucas-Imbernón (Hospital General Universitario de Albacete), Rut Gaya (Hospital Juan XXIII de Tarragona), Carlos Bibiano, María Mir, Beatriz Rodríguez (Hospital Infanta Leonor de Madrid), José Luis Carballo (Complejo Hospitalario Universitario de Ourense), Esther Rodríguez-Adrada, Belén Rodríguez Miranda, Monika Vicente Martín (Hospital Rey Juan Carlos de Móstoles, Madrid). Pere Coma Casanova, Joan Espinach Alvarós (Hospital Sant Joan de Déu de Martorell, Barcelona).</p>" "etiqueta" => "Appendix A" "titulo" => "Researchers of the AHF-SEMES group" "identificador" => "sec0075" ] 1 => array:4 [ "apendice" => "<p id="par0130" class="elsevierStylePara elsevierViewall">The following is Supplementary data to this article:<elsevierMultimedia ident="upi0005"></elsevierMultimedia></p>" "etiqueta" => "Appendix B" "titulo" => "Supplementary data" "identificador" => "sec0085" ] ] ] ] "multimedia" => array:6 [ 0 => array:8 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1922 "Ancho" => 3311 "Tamanyo" => 334577 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0030" "detalle" => "Fig. " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Patient inclusion diagram. EAHFE: <span class="elsevierStyleItalic">Epidemiology of Acute Heart Failure in Emergency departments</span>.</p>" ] ] 1 => array:8 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1841 "Ancho" => 3258 "Tamanyo" => 330566 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0035" "detalle" => "Fig. " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Distribution of daily mean ambient air pollutant concentrations on the study days.</p>" ] ] 2 => array:8 [ "identificador" => "fig0015" "etiqueta" => "Fig. 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 2869 "Ancho" => 3167 "Tamanyo" => 642381 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0040" "detalle" => "Fig. " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Adjusted analysis of the association between the different pollutants analysed in this study and markers of heart failure decompensation severity. CI: confidence interval.</p>" ] ] 3 => array:8 [ "identificador" => "fig0020" "etiqueta" => "Fig. 4" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr4.jpeg" "Alto" => 1917 "Ancho" => 3175 "Tamanyo" => 305059 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0045" "detalle" => "Fig. " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Adjusted dose-response curve constructed using a restricted cubic spline curve showing the odds ratio (OR) (with 95% confidence interval [95% CI]) of the pollutant (SO<span class="elsevierStyleInf">2</span>) that in the linear association study showed a direct association with one of the severity indicators (need for hospitalisation).</p>" ] ] 4 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0050" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">NYHA: <span class="elsevierStyleItalic">New York Heart Association;</span> IQR: interquartile range.</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"> \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">Total (N<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>5292) \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">Missing values \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">n (%) \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">n (%) \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 " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Demographic data</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Age (years), median (IQR) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">83 (76−88) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 (0.1) \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>Female gender \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.970 (56.3) \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">12 (0.2) \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 " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Comorbidities</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Arterial hypertension \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.517 (85.5) \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">8 (0.2) \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>Previous heart failure \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.301 (65.5) \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">249 (4.7) \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>Dyslipidaemia \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.827 (53.5) \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">10 (0.2) \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>Atrial fibrillation \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.718 (51.4) \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">9 (0.25) \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>Diabetes mellitus \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.117 (41.2) \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">9 (0.2) \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>Chronic Kidney Disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.614 (30.5) \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">8 (0.2) \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>Heart valve disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.547 (29.3) \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">10 (0.2) \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>Ischemic heart disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.514 (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">9 (0.2) \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>Chronic obstructive pulmonary disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.251 (23.7) \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">14 (0.3) \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>Neoplasm \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">815 (16.5) \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">374 (7.1) \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>Cerebrovascular disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">757 (14.3) \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">8 (0.2) \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>Peripheral artery disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">619 (11.7) \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">11 (0.2) \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>Dementia \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">565 (11.5) \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">376 (7.1) \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 " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Functional capacity</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Barthel Index (points), median (IQR) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">90 (70−100) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">342 (6.5) \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>NYHA class III–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">1.138 (22.4) \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">203 (3.8) \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 " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Atmospheric conditions</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Maximum temperature \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15.6 (13.2–18.2) \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 (0) \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>Maximum atmospheric pressure anomaly \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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 (−4.8 to 5.2) \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">24 (0.5) \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 " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Daily average concentration of pollutants</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>Sulphur dioxide (SO<span class="elsevierStyleInf">2</span>), μg/m<span class="elsevierStyleSup">3</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">2.5 (1.4–7.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (0.1) \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>Nitrogen dioxide (NO<span class="elsevierStyleInf">2</span>), μg/m<span class="elsevierStyleSup">3</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">44 (34–57) \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">19 (0.4) \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>Carbon monoxide (CO), mg/m<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</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">0.49 (0.35–0.63) \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">28 (0.5) \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>Ozone (O<span class="elsevierStyleInf">3</span>), μg/m<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a><span class="elsevierStyleHsp" style=""></span>×<span class="elsevierStyleHsp" style=""></span>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">33 (24–47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9 (0.2) \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>Particulate matter<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>10<span class="elsevierStyleHsp" style=""></span>μ in diameter (PM<span class="elsevierStyleInf">10</span>), μg/m<span class="elsevierStyleSup">3</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">22 (15–31) \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">61 (1.2) \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>Particulate matter<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>2,5<span class="elsevierStyleHsp" style=""></span>μ in diameter (PM<span class="elsevierStyleInf">2,5</span>), μg/m<span class="elsevierStyleSup">3</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">12 (8−17) \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">256 (4.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3334765.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Characteristics of patients included in the study.</p>" ] ] 5 => array:5 [ "identificador" => "upi0005" "tipo" => "MULTIMEDIAECOMPONENTE" "mostrarFloat" => false "mostrarDisplay" => true "Ecomponente" => array:2 [ "fichero" => "mmc1.doc" "ficheroTamanyo" => 257070 ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:42 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "An association between air pollution and mortality in six US cities" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "D.W. 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