Compartir
array:24 [ "pii" => "S0025775321003195" "issn" => "00257753" "doi" => "10.1016/j.medcli.2021.05.013" "estado" => "S300" "fechaPublicacion" => "2022-05-27" "aid" => "5716" "copyright" => "Elsevier España, S.L.U.. All rights reserved" "copyrightAnyo" => "2021" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Med Clin. 2022;158:466-71" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "Traduccion" => array:1 [ "en" => array:19 [ "pii" => "S2387020622002017" "issn" => "23870206" "doi" => "10.1016/j.medcle.2021.05.021" "estado" => "S300" "fechaPublicacion" => "2022-05-27" "aid" => "5716" "copyright" => "Elsevier España, S.L.U." "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Med Clin. 2022;158:466-71" "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" => "Radiography-based triage for COVID-19 in the Emergency Department in a Spanish cohort of patients" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "466" "paginaFinal" => "471" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Sistema de selección en urgencias de pacientes con sospecha de infección por SARS-CoV-2 y con posible neumonía no graves basado en la radiografía de tórax" ] ] "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" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1644 "Ancho" => 2508 "Tamanyo" => 291507 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Flow chart for suspected COVID-19 triage at the ED. ED<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>Emergency Department, MAT<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Model Andorrà de Triatge</span> (Andorran triage model), PCR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>polymerase chain reaction. All quantitative variables are shown as median (standard deviation).</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Abiu Sempere-González, Jordi Llaneras-Artigues, Iago Pinal-Fernández, Esperanza Cañas-Ruano, Olimpia Orozco-Gálvez, Eva Domingo-Baldrich, Xabier Michelena, Beatriz Meza, Eloi García-Vives, Albert Gil-Vila, Javier Sarrapio-Lorenzo, Sheila Romero-Ruperto, Francesc Sanpedro-Jiménez, María Arranz-Betegón, Andreu Fernández-Codina" "autores" => array:15 [ 0 => array:2 [ "nombre" => "Abiu" "apellidos" => "Sempere-González" ] 1 => array:2 [ "nombre" => "Jordi" "apellidos" => "Llaneras-Artigues" ] 2 => array:2 [ "nombre" => "Iago" "apellidos" => "Pinal-Fernández" ] 3 => array:2 [ "nombre" => "Esperanza" "apellidos" => "Cañas-Ruano" ] 4 => array:2 [ "nombre" => "Olimpia" "apellidos" => "Orozco-Gálvez" ] 5 => array:2 [ "nombre" => "Eva" "apellidos" => "Domingo-Baldrich" ] 6 => array:2 [ "nombre" => "Xabier" "apellidos" => "Michelena" ] 7 => array:2 [ "nombre" => "Beatriz" "apellidos" => "Meza" ] 8 => array:2 [ "nombre" => "Eloi" "apellidos" => "García-Vives" ] 9 => array:2 [ "nombre" => "Albert" "apellidos" => "Gil-Vila" ] 10 => array:2 [ "nombre" => "Javier" "apellidos" => "Sarrapio-Lorenzo" ] 11 => array:2 [ "nombre" => "Sheila" "apellidos" => "Romero-Ruperto" ] 12 => array:2 [ "nombre" => "Francesc" "apellidos" => "Sanpedro-Jiménez" ] 13 => array:2 [ "nombre" => "María" "apellidos" => "Arranz-Betegón" ] 14 => array:2 [ "nombre" => "Andreu" "apellidos" => "Fernández-Codina" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S0025775321003195" "doi" => "10.1016/j.medcli.2021.05.013" "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/S0025775321003195?idApp=UINPBA00004N" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2387020622002017?idApp=UINPBA00004N" "url" => "/23870206/0000015800000010/v1_202206100851/S2387020622002017/v1_202206100851/en/main.assets" ] ] "itemSiguiente" => array:19 [ "pii" => "S002577532100395X" "issn" => "00257753" "doi" => "10.1016/j.medcli.2021.04.034" "estado" => "S300" "fechaPublicacion" => "2022-05-27" "aid" => "5752" "copyright" => "Elsevier España, S.L.U." "documento" => "simple-article" "crossmark" => 1 "subdocumento" => "crp" "cita" => "Med Clin. 2022;158:472-5" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "es" => array:12 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original breve</span>" "titulo" => "Relevancia clínica de la técnica de utilización de inhaladores en pacientes con enfermedad pulmonar obstructiva crónica" "tienePdf" => "es" "tieneTextoCompleto" => "es" "tieneResumen" => array:2 [ 0 => "es" 1 => "en" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "472" "paginaFinal" => "475" ] ] "titulosAlternativos" => array:1 [ "en" => array:1 [ "titulo" => "The clinical relevance of inhalation technique in chronic obstructive pulmonary disease patients" ] ] "contieneResumen" => array:2 [ "es" => true "en" => true ] "contieneTextoCompleto" => array:1 [ "es" => true ] "contienePdf" => array:1 [ "es" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Pilar Barnestein-Fonseca, Noemí Vázquez-González, Elisa Martín-Montañez, José Leiva-Fernández, Víctor Cotta-Luque, Francisca Leiva-Fernández" "autores" => array:6 [ 0 => array:2 [ "nombre" => "Pilar" "apellidos" => "Barnestein-Fonseca" ] 1 => array:2 [ "nombre" => "Noemí" "apellidos" => "Vázquez-González" ] 2 => array:2 [ "nombre" => "Elisa" "apellidos" => "Martín-Montañez" ] 3 => array:2 [ "nombre" => "José" "apellidos" => "Leiva-Fernández" ] 4 => array:2 [ "nombre" => "Víctor" "apellidos" => "Cotta-Luque" ] 5 => array:2 [ "nombre" => "Francisca" "apellidos" => "Leiva-Fernández" ] ] ] ] ] "idiomaDefecto" => "es" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S2387020622001929" "doi" => "10.1016/j.medcle.2021.04.033" "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/S2387020622001929?idApp=UINPBA00004N" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S002577532100395X?idApp=UINPBA00004N" "url" => "/00257753/0000015800000010/v1_202205160511/S002577532100395X/v1_202205160511/es/main.assets" ] "itemAnterior" => array:19 [ "pii" => "S0025775321003201" "issn" => "00257753" "doi" => "10.1016/j.medcli.2021.05.014" "estado" => "S300" "fechaPublicacion" => "2022-05-27" "aid" => "5717" "copyright" => "Elsevier España, S.L.U." "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Med Clin. 2022;158:458-65" "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" => "Clinical features and prognosis of COVID-19 patients with metabolic syndrome: A multicenter, retrospective study" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "458" "paginaFinal" => "465" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Características clínicas y pronóstico de los pacientes con COVID-19 y síndrome metabólico: un estudio multicéntrico y retrospectivo" ] ] "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" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1615 "Ancho" => 2175 "Tamanyo" => 137837 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Flow diagram of the enrolled participants.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Jian Wang, Li Zhu, Longgen Liu, Xuebing Yan, Leyang Xue, Songping Huang, Biao Zhang, Tianmin Xu, Fang Ji, Chunyang Li, Fang Ming, Yun Zhao, Juan Cheng, Kang Chen, Xiang-an Zhao, Dawen Sang, Xinying Guan, Xiaobing Chen, Xiaomin Yan, Zhaoping Zhang, Jiacheng Liu, Rui Huang, Chuanwu Zhu, Chao Wu" "autores" => array:24 [ 0 => array:2 [ "nombre" => "Jian" "apellidos" => "Wang" ] 1 => array:2 [ "nombre" => "Li" "apellidos" => "Zhu" ] 2 => array:2 [ "nombre" => "Longgen" "apellidos" => "Liu" ] 3 => array:2 [ "nombre" => "Xuebing" "apellidos" => "Yan" ] 4 => array:2 [ "nombre" => "Leyang" "apellidos" => "Xue" ] 5 => array:2 [ "nombre" => "Songping" "apellidos" => "Huang" ] 6 => array:2 [ "nombre" => "Biao" "apellidos" => "Zhang" ] 7 => array:2 [ "nombre" => "Tianmin" "apellidos" => "Xu" ] 8 => array:2 [ "nombre" => "Fang" "apellidos" => "Ji" ] 9 => array:2 [ "nombre" => "Chunyang" "apellidos" => "Li" ] 10 => array:2 [ "nombre" => "Fang" "apellidos" => "Ming" ] 11 => array:2 [ "nombre" => "Yun" "apellidos" => "Zhao" ] 12 => array:2 [ "nombre" => "Juan" "apellidos" => "Cheng" ] 13 => array:2 [ "nombre" => "Kang" "apellidos" => "Chen" ] 14 => array:2 [ "nombre" => "Xiang-an" "apellidos" => "Zhao" ] 15 => array:2 [ "nombre" => "Dawen" "apellidos" => "Sang" ] 16 => array:2 [ "nombre" => "Xinying" "apellidos" => "Guan" ] 17 => array:2 [ "nombre" => "Xiaobing" "apellidos" => "Chen" ] 18 => array:2 [ "nombre" => "Xiaomin" "apellidos" => "Yan" ] 19 => array:2 [ "nombre" => "Zhaoping" "apellidos" => "Zhang" ] 20 => array:2 [ "nombre" => "Jiacheng" "apellidos" => "Liu" ] 21 => array:2 [ "nombre" => "Rui" "apellidos" => "Huang" ] 22 => array:2 [ "nombre" => "Chuanwu" "apellidos" => "Zhu" ] 23 => array:2 [ "nombre" => "Chao" "apellidos" => "Wu" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S2387020622002029" "doi" => "10.1016/j.medcle.2021.05.022" "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/S2387020622002029?idApp=UINPBA00004N" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0025775321003201?idApp=UINPBA00004N" "url" => "/00257753/0000015800000010/v1_202205160511/S0025775321003201/v1_202205160511/en/main.assets" ] "en" => array:20 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Radiography-based triage for COVID-19 in the Emergency Department in a Spanish cohort of patients" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "466" "paginaFinal" => "471" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Abiu Sempere-González, Jordi Llaneras-Artigues, Iago Pinal-Fernández, Esperanza Cañas-Ruano, Olimpia Orozco-Gálvez, Eva Domingo-Baldrich, Xabier Michelena, Beatriz Meza, Eloi García-Vives, Albert Gil-Vila, Javier Sarrapio-Lorenzo, Sheila Romero-Ruperto, Francesc Sanpedro-Jiménez, María Arranz-Betegón, Andreu Fernández-Codina" "autores" => array:15 [ 0 => array:3 [ "nombre" => "Abiu" "apellidos" => "Sempere-González" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 1 => array:3 [ "nombre" => "Jordi" "apellidos" => "Llaneras-Artigues" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 2 => array:3 [ "nombre" => "Iago" "apellidos" => "Pinal-Fernández" "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] ] 3 => array:3 [ "nombre" => "Esperanza" "apellidos" => "Cañas-Ruano" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 4 => array:3 [ "nombre" => "Olimpia" "apellidos" => "Orozco-Gálvez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 5 => array:3 [ "nombre" => "Eva" "apellidos" => "Domingo-Baldrich" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 6 => array:3 [ "nombre" => "Xabier" "apellidos" => "Michelena" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 7 => array:3 [ "nombre" => "Beatriz" "apellidos" => "Meza" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 8 => array:3 [ "nombre" => "Eloi" "apellidos" => "García-Vives" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 9 => array:3 [ "nombre" => "Albert" "apellidos" => "Gil-Vila" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 10 => array:3 [ "nombre" => "Javier" "apellidos" => "Sarrapio-Lorenzo" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 11 => array:3 [ "nombre" => "Sheila" "apellidos" => "Romero-Ruperto" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 12 => array:3 [ "nombre" => "Francesc" "apellidos" => "Sanpedro-Jiménez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 13 => array:3 [ "nombre" => "María" "apellidos" => "Arranz-Betegón" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 14 => array:4 [ "nombre" => "Andreu" "apellidos" => "Fernández-Codina" "email" => array:1 [ 0 => "Andreu.fernandezcodina@wrh.on.ca" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">e</span>" "identificador" => "aff0025" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] ] "afiliaciones" => array:5 [ 0 => array:3 [ "entidad" => "Emergency Department, University Hospital Vall d’Hebron, Barcelona, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "National Institute of Arthritis and Musculoskeletal and Skin Diseases, Bethesda, MA, USA" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Johns Hopkins University School of Medicine, Baltimore, MD, USA" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Faculty of Health Sciences and Faculty of Computer Science, Multimedia and Telecommunications, Universitat Oberta de Catalunya, Barcelona, Spain" "etiqueta" => "d" "identificador" => "aff0020" ] 4 => array:3 [ "entidad" => "Rheumatology Division and General Internal Medicine Division-Windsor Campus, University of Western Ontario, London/Windsor, ON, Canada" "etiqueta" => "e" "identificador" => "aff0025" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Sistema de selección en urgencias de pacientes con sospecha de infección por SARS-CoV-2 y con posible neumonía no graves basado en la radiografía de tórax" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1644 "Ancho" => 2508 "Tamanyo" => 291507 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Flow chart for suspected COVID-19 triage at the ED. ED<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>Emergency Department, MAT<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Model Andorrà de Triatge</span> (Andorran triage model), PCR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>polymerase chain reaction. All quantitative variables are shown as median (standard deviation).</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">The disease associated with the 2019 coronavirus or COVID-19 was described after reports of patients with pneumonia associated with a new coronavirus (SARS-CoV-2) in Wuhan (China) in late 2019. Currently, COVID-19 is a global pandemic.<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">1</span></a> The clinical presentation of COVID-19 is variable, ranging from asymptomatic presentations to flu-like symptoms or adult respiratory distress syndrome (ARDS). Respiratory complications typically appear about 7–10 days after the first symptom,<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">2</span></a> causing significant morbidity and mortality.<a class="elsevierStyleCrossRefs" href="#bib0140"><span class="elsevierStyleSup">3–5</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">The spread of SARS-CoV-2 has caused significant peaks in healthcare demand. Emergency Department (ED) triage during a pandemic is closer to that of an accident with multiple victims. Furthermore, no COVID-19 specific validated strategies have been developed, despite different proposals exist.<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">6</span></a> In early 2020, the rapid increase of the number of cases was followed by a significant number of limitations: diagnostic capacity (less sensitive and slower polymerase chain reaction (PCR) tests, no valid antigen tests), clinical space, human resources, and personal protective equipment. The preexisting experiences from China and Italy showed that chest X-ray (CXR) had a limited sensitivity to diagnose COVID-19 versus chest computerized tomography (CT), especially earlier in the disease.<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">7</span></a> The European Society of Radiology encouraged EDs to use CT.<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">8</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Due to high patient volumes and congestion of our center in Barcelona, Spain, generalizing the use of chest CT was deemed as not feasible. CXRs’ sensitivity for COVID-19 is 69-75% and it increases with a higher prevalence.<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">9</span></a> Patients with severe manifestations, especially respiratory insufficiency, would obviously need admission to the hospital and high-level acute care at the ED. We considered that CXR would be a fast and cheap way to stratify the different levels of severity upon ED triage in patients without apparent signs of severity on admission. This way, we would be able to safely discharge some of them home, to concentrate our limited in-hospital resources on the right cases during the peak.</p><p id="par0020" class="elsevierStylePara elsevierViewall">The aim of this study is to report the outcomes of an ED triage system based on CXR for non-severe patients with suspected COVID-19 and possible pneumonia.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Material and methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Design and setting</span><p id="par0025" class="elsevierStylePara elsevierViewall">We performed a retrospective cohort study including patients visited at the Emergency Department (ED) at the Vall d’Hebron University Hospital (Barcelona, Spain) from March 25 to April 8, 2020. This is a university tertiary care center, with more than 1000 in-patient beds, with an assigned population of more than 450,000 people. The period of inclusion included the 2 weeks when the hospital was at full capacity, corresponding to the first incidence peak in the COVID-19 pandemic in Catalonia (Spain). For the 7-day period March 30 to April 5, 2020, the 14-day cumulative incidence of COVID-19 cases in Catalonia was 267.07 (population as of January 1, 2020, was 7,722,203 inhabitants), 8928 new cases were diagnosed with PCR, and 2649 people died.<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">10</span></a> On 31 March 2020, the center reached the peak of COVID-19 activity, accounting for 100 daily admissions, 170 inpatients at the intensive care unit, and more than 600 inpatients in conventional wards.</p><p id="par0030" class="elsevierStylePara elsevierViewall">In this context, a protocol for COVID-19 triage and management had been implemented at the institution (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>). Most of the patients visited at the ED had suspected COVID-19 and a physically separated circuit was made for non-COVID-19 patients. Patients reporting possible COVID-19 symptoms were identified at the entrance, admitted to the ED, and triaged by a registered nurse using the Andorran triage model (MAT),<a class="elsevierStyleCrossRefs" href="#bib0180"><span class="elsevierStyleSup">11,12</span></a> an adaptation from the Canadian Emergency Department Triage and Acuity Scale (CTAS).<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">13</span></a> Patients scoring levels I to III were transferred to the acute care area (more severe cases or deconditioned, generally needing oxygen, stretcher). Patients in levels IV and V suspicious for pneumonia were directly sent for CXR (posterior-anterior and lateral projections, reported by a dedicated radiologist) and moved to a separated waiting room. If the CXR was negative for pneumonia they were taken back to an advanced triage office, where a physician made a rapid assessment, provided isolation recommendations and symptomatic treatment, and discharged patients to the care of their general practitioner. Due to the limited availability of PCR kits, those patients had them, depending on availability, a few days after under primary care supervision. Those patients with pneumonia or with more functional impairment or inability to isolate at home were assessed by an ED physician, got bloodwork drawn and a therapeutic/admission decision was taken. This subgroup of patients had their PCR swab at the ED (Allplex 2019-nCoV, Seegene, Seoul, South Korea<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">14</span></a>). No antigen or serology tests were available, and the turnover for the microbiology lab results was 8–12<span class="elsevierStyleHsp" style=""></span>h.</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Patients</span><p id="par0035" class="elsevierStylePara elsevierViewall">Inclusion criteria were:<ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">-</span><p id="par0040" class="elsevierStylePara elsevierViewall">Patients ≥16 years-old visited at the ED from March 25 to April 8, 2020.</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">-</span><p id="par0045" class="elsevierStylePara elsevierViewall">Screening positive for suspected COVID-19 symptoms and pneumonia (including usual symptoms i.e. fever, cough, myalgias, dyspnea, chest pain, …).</p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">-</span><p id="par0050" class="elsevierStylePara elsevierViewall">MAT<a class="elsevierStyleCrossRefs" href="#bib0180"><span class="elsevierStyleSup">11,12</span></a> level IV or V.</p></li><li class="elsevierStyleListItem" id="lsti0020"><span class="elsevierStyleLabel">-</span><p id="par0055" class="elsevierStylePara elsevierViewall">Oxygen saturation (SpO<span class="elsevierStyleInf">2</span>) room air<span class="elsevierStyleHsp" style=""></span>≥<span class="elsevierStyleHsp" style=""></span>95%.</p></li></ul></p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Data collection and processing</span><p id="par0060" class="elsevierStylePara elsevierViewall">A search into the electronic medical record SAP® was performed including the following items: patients visited at the ED for medical pathologies (non-surgical, ortho, gynecology or pediatric), visits from March 25 to April 8, 2020, MAT levels IV or V, diagnostic codes specific for coronavirus infection (coronavirus, non-specific coronavirus infection, other coronaviruses that cause diseases elsewhere specified) or any viral or respiratory infection. We obtained 1046 clinical encounters. All charts were reviewed to check that the COVID-19 working diagnosis was accurate, information was available, and patients with repeated consults were identified. The review was performed from June 19 to August 20, 2020. An anonymized password-protected database was created along with an encrypted master list kept by AFC, ASG, JLA, and IPF. The research team reviewed the different charts including the ED visit and the data available in the EMR (in-hospital care, primary care) including the evolution up to 14 days after the ED visit, and recorded any death (in-patient or outpatient) in the following 6 weeks. The demographic variables included: sex, age, race, smoker status, Charlson comorbidity index score, death, and date of death. For COVID-19 specific items, we reviewed: SARS-CoV-2 PCR status, time since the first symptom, reported symptoms (headache, nasal congestion, dry cough, expectoration, fatigue, dyspnea, nausea or vomiting, diarrhea, myalgia, anosmia, dysgeusia, fever, or febricula), vitals (systolic blood pressure, diastolic blood pressure, heart rate, respiratory rate, temperature, SpO<span class="elsevierStyleInf">2</span> room air), triage chest X-ray status (viral pneumonia or not), re-consult at the ED or primary care, and presence of complications (pneumonia, deep vein thrombosis, pulmonary embolism).</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Statistical analysis</span><p id="par0065" class="elsevierStylePara elsevierViewall">STATA 14.1 software was used for the statistical analysis. <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05 was considered significant. Dichotomous variables were expressed as absolute frequencies and percentages, and continuous variables were reported as means and standard deviations. Comparisons between groups were made using Chi-squared, Fisher's exact tests, or Student's <span class="elsevierStyleItalic">t</span>-test, as appropriate. Logistic and linear regression were used to adjust comparisons for age, gender, and race.</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Ethics</span><p id="par0070" class="elsevierStylePara elsevierViewall">The study design adhered to the declaration on Helsinki for ethical principles for medical research involving human subjects. The local ethics review board reviewed and approved this protocol (PR(AG)334/2020). Since it was a retrospective study using chart review, the obtention of informed consent was waived. This manuscript follows the STROBE recommendations for reporting observational studies.</p></span></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Results</span><p id="par0075" class="elsevierStylePara elsevierViewall">From 1046 consecutive clinical encounters at our institution's ED with MAT levels IV–V held from March 25 to April 8, 2020, we identified 834 patients with suspected non-severe COVID-19 pneumonia, who met the inclusion criteria. The demographics and COVID-19-related symptoms reported during the ED visit are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0080" class="elsevierStylePara elsevierViewall">All patients had their triage CXR. The features and outcomes according to the presence or absence of radiological viral pneumonia are also presented in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>. Compared to those without radiological evidence of pneumonia, patients with pneumonia were more likely to be male and older, without racial clinically relevant differences. In addition, they reported fatigue, dyspnea, diarrhea, myalgia, dysgeusia, and fever more frequently (all adjusted <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span>0.05).</p><p id="par0085" class="elsevierStylePara elsevierViewall">Those presenting with pneumonia were statistically significantly more likely to be admitted to the hospital and mortality tended to be higher in this subgroup. Patients reconsulting were earlier in the course of the disease the first time they came to the ED (6.5 days from the first symptom vs. 8.6 in those who did not come back to the ED, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.009 multivariate analysis), were more likely to have a normal baseline CXR in the initial ED visit (62% vs. 32%, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) and experienced a lower number of deaths (2 vs. 9, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.009). Deep vein thrombosis and pulmonary embolism within 14 days just appeared in 3 patients in the pneumonia subset.</p><p id="par0090" class="elsevierStylePara elsevierViewall">Deceased patients were all white. They had a median age of 80 years and a median Charlson index of 5.4, all statistically significantly different from the surviving cases. Ten of them had pneumonia in their triage CXR and one did not. She reconsulted 3 days after with a pathologic CXR.</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Discussion</span><p id="par0095" class="elsevierStylePara elsevierViewall">In the context of an abrupt surge of cases and with the need to optimize the use of resources, we explored the use of CXR to screen non-critical patients with suspected COVID-19 pneumonia in the ED setting. CXR was able to identify viral pneumonia in 60% of 834 patients without respiratory insufficiency and MAT IV–V. Those with a negative CXR were discharged home. ED reconsults were limited in number, although forty percent of them had new pneumonia in the control CXR. Mortality was 0.003% among patients with negative CXR. CXR for COVID-19 pneumonia screening in non-severe patients at the ED is an effective and feasible strategy to stratify those patients in need of hospital care and those who do not.</p><p id="par0100" class="elsevierStylePara elsevierViewall">Barcelona was no exception for the COVID-19 pandemic. The high volumes of patients posed a significant organizational challenge to provide the right level of care to each patient in a timely fashion. Human resources, space, respiratory therapy equipment, personal protective equipment, and SARS-CoV-2 tests were scarce in our country,<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">15</span></a> like in many others. Patients with respiratory insufficiency and/or pneumonia clearly need inpatient medical treatment to some degree and can be easily identified at the ED in the more severe triage groups (MAT or CTAS I–III). This subset of patients will consume a significant part of the ED capacity. Therefore, identifying patients who could be safely discharged is a priority.</p><p id="par0105" class="elsevierStylePara elsevierViewall">The demographics of our series of patients corresponded to a subset of younger and less comorbid group of patients, compared to all the patients who were visited at an ED<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">16</span></a> or ended up being admitted due to COVID-19 in Spain.<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">17</span></a> This is because our cases corresponded to mild COVID-19 disease, without respiratory insufficiency or any other major organ damage as per MAT triage IV–V. On presentation, patients mainly reported cough, fatigue, myalgia, and fever. Dyspnea was only present in half of the patients, whereas other reports mixing severe and non-severe patients found over 70% of cases with shortness of breath.<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">18</span></a> In terms of disease duration, patients came to the ED about 8 days after the first symptom like in many other European series.<a class="elsevierStyleCrossRefs" href="#bib0205"><span class="elsevierStyleSup">16,18</span></a> Vitals on arrival are not comparable, as we did not include more severe patients. Some patients had fever, but none had respiratory insufficiency or hemodynamical instability. The lower number of positive PCR for the negative CXR subgroup can be explained due to the delayed performance of the swab in those patients that were discharged, as the viral load gets lower over time.</p><p id="par0110" class="elsevierStylePara elsevierViewall">We found that 60% of the screened patients had viral pneumonia in the CXR. CXR was initially discouraged for diagnosis of pneumonia in SARS-CoV-2 in low prevalence areas.<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">19</span></a> In a context like ours, it was found in a significant number of cases among patients without respiratory insufficiency. CXR is cheap and can be done in any ED. Other imaging approaches have proved effective in diagnosing COVID-19 pneumonia. Using chest CT scans would include a dedicated machine and more time to do the image acquisition, which is not feasible admitting 100 patients a day. Lung ultrasound is another promising technique to diagnose COVID-19 pneumonia and to provide a prognosis in terms of respiratory deterioration in critical patients.<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">20,21</span></a> Quicker than CTs, it is not available in all centers and needs personnel with ultrasound skills. Our initial approach of dedicated radiologists reporting the tests has been recently refined. A simple semiquantitative score has been created to stage the degree of involvement (<1/3, 1/3 to 2/3, or >2/3 of lung parenchyma affected by alveolar opacities), correlating with the risk of intubation after presentation at the ED.<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">22</span></a> Artificial intelligence has been used to interpret retrospectively chest radiography, being able to predict adverse outcomes in COVID-19.<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">23</span></a> Nevertheless, in a healthcare system at the brink of collapse, any ED physician can interpret the CXR on its own.</p><p id="par0115" class="elsevierStylePara elsevierViewall">Patients with suspected COVID-19 and possible pneumonia with a negative CXR screening were younger, predominantly female, with fewer comorbidities, and experienced less mortality than those with pneumonia. Once pneumonia was ruled out, they were discharged home under primary care supervision. This provided an important relief to the high volume of patients needing to remain at the hospital. Forty percent of patients without previous pneumonia who reconsulted had a newly diagnosed pneumonia. This is attributable to a lower number of days since the first symptom at the first ED visit. Hence, pneumonia might not be visible in the first CXR or simply had not developed already. Only one old and frail patient with pneumonia in the second visit ended up dying. One study in New York (USA) showed that 5.6% of COVID-19 patients reconsulted to the ED within 72<span class="elsevierStyleHsp" style=""></span>h after being discharged.<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">24</span></a> CXR was not systematically done, but 41% of the reconsults needing admission had an abnormal CXR at the initial visit. Moreover, only 25% of the admissions had a previously normal CXR. Mortality was 16%. Another Spanish study on 925 COVID-19 discharges from the ED, found a 20.5% of ED re-consultations, mostly within patients with CTAS III. Patients needing to be revisited differed from those who did not in having new CXR findings or not having a previous chest radiography, an older age, and comorbidities. They suggested discharging any suspected COVID-19 patient under 48 years old without comorbidities and with normal vitals. Finally, a severity score for the need for high flow oxygen (and therefore a worse prognosis) was recently developed in our center with COVID-19 patients admitted to the Internal Medicine ward.<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">25</span></a> Seventy percent of the patients did not need oxygen on admission. The main predictors for that outcome were: SpO<span class="elsevierStyleInf">2</span>/fraction of inspired oxygen (adjusted Hazard Ratio-aHR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>8), CXR (aHR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>4), prior immunosuppressive therapy (aHR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>4), obesity (aHR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>2), interleukin-6 serum levels (aHR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>2) and platelet count (aHR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.5).</p><p id="par0120" class="elsevierStylePara elsevierViewall">This study is limited by its retrospective and single-center design. The triage algorithm might be difficult to export to other centers with different characteristics and epidemiological situations. Moreover, variables were obtained from medical reports performed under a unique situation of work overload and stress, with some missing or underreported data. There was no control arm as this was how the clinical protocol established at our center worked. Otherwise, the sample is big, and data comes from an expert referral center for COVID-19. A high incidence of COVID-19 is still making struggle many developing countries after repeated waves. This feasible proposal could certainly help to optimize resource use in those situations.</p><p id="par0125" class="elsevierStylePara elsevierViewall">Overall, CXR is inexpensive, convenient in the ED, and strongly correlated with prognostic implications in COVID-19. Choosing which patients will benefit from more intensive observation and treatment in-hospital is an unmet need. Using the CXR triage model for patients with non-severe COVID-19 suspected pneumonia would help to identify those patients with early pneumonia and those without it who could be potentially discharged with a low complication rate. Other techniques like lung ultrasound could be used for the same purpose. Additionally, strategies like home hospitalization for selected patients can be considered to decongest the ED and wards.</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Conclusion</span><p id="par0130" class="elsevierStylePara elsevierViewall">In summary, CXR identified pneumonia in 60% of a series of symptomatic non-severe suspected COVID-19 patients without respiratory insufficiency presenting at the ED with possible pneumonia. Patients without radiological condensation had less mortality and were mostly discharged. Deceased patients were elder and with a higher Charlson index. The re-consultation rate was low compared to other series, developing pneumonia in 40% of bounce backs without previous pneumonia. CXR triage for suspected COVID-19 pneumonia in patients with CTAS/MAT IV–V in the ED could be useful to decongest urgent care facilities working at capacity during the pandemic.</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Funding</span><p id="par0135" class="elsevierStylePara elsevierViewall">This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Conflict of interest</span><p id="par0140" class="elsevierStylePara elsevierViewall">None.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:13 [ 0 => array:3 [ "identificador" => "xres1710587" "titulo" => "Abstract" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objectives" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Material and methods" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1512997" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres1710586" "titulo" => "Resumen" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0030" "titulo" => "Introducción" ] 1 => array:2 [ "identificador" => "abst0035" "titulo" => "Objetivos" ] 2 => array:2 [ "identificador" => "abst0040" "titulo" => "Material y métodos" ] 3 => array:2 [ "identificador" => "abst0045" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0050" "titulo" => "Conclusión" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec1512998" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Material and methods" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Design and setting" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Patients" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Data collection and processing" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Statistical analysis" ] 4 => array:2 [ "identificador" => "sec0035" "titulo" => "Ethics" ] ] ] 6 => array:2 [ "identificador" => "sec0040" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "sec0045" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0050" "titulo" => "Conclusion" ] 9 => array:2 [ "identificador" => "sec0055" "titulo" => "Funding" ] 10 => array:2 [ "identificador" => "sec0060" "titulo" => "Conflict of interest" ] 11 => array:2 [ "identificador" => "xack602783" "titulo" => "Acknowledgements" ] 12 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2021-03-21" "fechaAceptado" => "2021-05-21" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1512997" "palabras" => array:5 [ 0 => "COVID-19" 1 => "Pneumonia" 2 => "Triage" 3 => "Emergency" 4 => "Radiography" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1512998" "palabras" => array:5 [ 0 => "COVID-19" 1 => "Neumonía" 2 => "Triaje" 3 => "Emergencias" 4 => "Radiografía" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Background</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Strategies to determine who could be safely discharged home from the Emergency Department (ED) in COVID-19 are needed to decongestion healthcare systems.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Objectives</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">To describe the outcomes of an ED triage system for non-severe patients with suspected COVID-19 and possible pneumonia based on chest X-ray (CXR) upon admission.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Material and methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Retrospective, single-center study performed in Barcelona (Spain) during the COVID-19 peak in March–April 2020. Patients with COVID-19 symptoms and potential pneumonia, without respiratory insufficiency, with priority class IV–V (Andorran triage model) had a CXR upon admission. This approach tried to optimize resource use and to facilitate discharges. The results after adopting this organizational approach are reported.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">We included 834 patients, 53% were female. Most patients were white (66%) or Hispanic (27%). CXR showed pneumonia in 523 (62.7%). Compared to those without pneumonia, patients with pneumonia were older (55 vs 46.6 years old) and had a higher Charlson comorbidity index (1.9 vs 1.3). Patients with pneumonia were at a higher risk for a combined outcome of admission and/or death (91 vs 12%). Death rates tended to be numerically higher in the pneumonia group (10 vs 1). Among patients without pneumonia in the initial CXR, 10% reconsulted (40% of them with new pneumonia).</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conclusion</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">CXR identified pneumonia in a significant number of patients. Those without pneumonia were mostly discharged. Mortality among patients with an initially negative CXR was low. CXR triage for pneumonia in non-severe COVID-19 patients in the ED can be an effective strategy to optimize resource use.</p></span>" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objectives" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Material and methods" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusion" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Introducción</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">La pandemia de COVID-19 conlleva una alta ocupación de los servicios de urgencias (SU). Se requieren nuevas estrategias para optimizar la gestión de estos recursos.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Objetivos</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Describir los resultados de un sistema de triaje en urgencias para pacientes no graves con sospecha de COVID-19 y posible neumonía, basado en la radiografía de tórax (RT).</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Material y métodos</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Estudio retrospectivo, unicéntrico realizado en Barcelona (España) entre marzo y abril de 2020. Se realizó una RT al ingreso en SU de pacientes con síntomas de COVID-19 y sospecha de neumonía, sin insuficiencia respiratoria, con una prioridad clase IV-V (sistema andorrano de triaje). Esta medida pretende optimizar los recursos y facilitar las altas. Se reportan los resultados tras adoptar esta estrategia.</p></span> <span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Resultados</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Se incluyeron 834 pacientes (53% mujeres, 66% caucásicos, 27% hispánicos). La RT mostró neumonía en 523 (62,7%). Comparados con los pacientes sin neumonía, los que sí la padecían eran mayores (55 vs. 46,6 años), con un índice de comorbilidad de Charlson más elevado (1,9 vs. 1,3) y con mayor riesgo de ingreso y/o muerte (91 vs. 12%). La mortalidad fue numéricamente mayor en el grupo con neumonía (10 vs. 1). El 10% de los pacientes sin neumonía en RT consultaron de nuevo al SU (40% con neumonía).</p></span> <span id="abst0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Conclusión</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">La RT identificó neumonía en múltiples pacientes. Los que no tenían neumonía fueron mayoritariamente dados de alta. La mortalidad entre pacientes con RT negativa fue baja. La RT como triaje para neumonía en pacientes con COVID-19 no grave puede ahorrar recursos.</p></span>" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0030" "titulo" => "Introducción" ] 1 => array:2 [ "identificador" => "abst0035" "titulo" => "Objetivos" ] 2 => array:2 [ "identificador" => "abst0040" "titulo" => "Material y métodos" ] 3 => array:2 [ "identificador" => "abst0045" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0050" "titulo" => "Conclusión" ] ] ] ] "multimedia" => array:2 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1644 "Ancho" => 2508 "Tamanyo" => 291507 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Flow chart for suspected COVID-19 triage at the ED. ED<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>Emergency Department, MAT<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Model Andorrà de Triatge</span> (Andorran triage model), PCR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>polymerase chain reaction. All quantitative variables are shown as median (standard deviation).</p>" ] ] 1 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>absolute number, SBP<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>systolic blood pressure, DBP<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>diastolic blood pressure, HR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>heart rate, RR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>respiratory rate, SpO<span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>oxygen saturation, CXR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>chest X-ray, PCR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>polymerase chain reaction, ED<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>Emergency Department. Dichotomous variables were expressed as absolute frequencies and percentages, and continuous variables as means and standard deviations. Univariate bivariate comparisons for continuous variables used the Student's <span class="elsevierStyleItalic">t</span>-test and for dichotomous variables the Fisher's or Chi-squared tests, as appropriate. Multivariate comparisons used logistic and linear regression to adjust for age, gender, and race.</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="" 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 " colspan="5" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Radiologic pneumonia</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" 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">Yes \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">No \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">Univariate \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">Multivariate \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 \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="" 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"><span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>523 \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">N</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>311 \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>-value \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>-value \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">N</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>834 \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">Female</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">50% (260) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">60% (186) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.005 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" 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">53 (446) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="6" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="6" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Race</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>White \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% (359) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% (194) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.06 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" 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">66% (553) \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>Black \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% (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">6% (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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.05 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" 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">4% (36) \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>Asian \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% (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">1% (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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.7 \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="" 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">1% (9) \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>Hispanic \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% (139) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% (85) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.8 \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="" 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">27% (224) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="6" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Age (years)</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">55 (15.8) \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">46.6 (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="char" 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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" 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">51.8 (16.6) \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">Charlson index</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">1.9 (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">1.3 (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="char" 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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.03 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.7 (1.9) \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">Active 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">5% (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">13% (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="char" 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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" 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><td class="td" title="\n \t\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% (67) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="6" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Headache</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">47% (97) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% (77) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.0 \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">49% (174) \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">Rhinorrhea</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">16% (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">25% (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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.1 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.06 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20% (50) \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">Cough</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">78% (363) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% (215) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.9 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.3 \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">78% (578) \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">Expectoration</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">27% (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">22% (35) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.2 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.3 \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">25% (115) \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">Fatigue</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% (206) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">58% (91) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.003 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.02 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">67% (297) \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">Dyspnea</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">54% (221) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% (109) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.08 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.04 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">51% (330) \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">Nausea and/or vomiting</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% (68) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% (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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.5 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">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">27% (101) \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">Diarrhea</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">46% (153) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">36% (61) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.03 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.03 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% (214) \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">Myalgia</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">66% (170) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">58% (90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.1 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.05 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% (260) \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">Chills</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">33% (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">25% (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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.1 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.3 \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">30% (89) \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">Anosmia</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% (84) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% (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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.1 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.06 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">36% (126) \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">Dysgeusia</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">37% (78) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% (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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.02 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">32% (110) \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">Fever (>37.7</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">°C)</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">75% (372) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">57% (164) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" 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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" 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><td class="td" title="\n \t\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% (536) \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">Febricula (37.3-37.7</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">°C)</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">27% (119) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23% (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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.2 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.2 \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">25% (176) \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">Days since first symptom</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">8.5 (4.4) \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">8.5 (6.5) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.8 \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">8.5 (5.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="6" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">SBP (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">133.5 (18) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">135 (17.6) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.2 \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="char" 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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">134.1 (17.8) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">DBP (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">77.6 (12.2) \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">80 (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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.008 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.06 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">78.5 (12.5) \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="elsevierStyleItalic">HR (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">93.7 (15.3) \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">91.9 (17.3) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.1 \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="char" 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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">93.1 (16.1) \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="elsevierStyleItalic">RR (breaths 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">19.7 (3.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18.8 (6.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.06 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19.4 (4.8) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Temperature (°C)</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">36.8 (0.9) \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">36.5 (0.8) \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="char" 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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" 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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">36.7 (0.9) \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">Room air SpO</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">(%)</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">97.6 (1.6) \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">98.8 (1.3) \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="char" 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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" 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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">98.1 (1.6) \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">CXR pneumonia triage</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">100% (523) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0% (0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" 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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" 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><td class="td" title="\n \t\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% (518) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="6" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Admission or death</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">91% (476) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% (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="char" 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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" 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><td class="td" title="\n \t\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% (513) \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">Death</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% (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">0.003% (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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.06 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.2 \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">1% (11) \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">Admission</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">91% (476) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% (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="char" 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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" 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><td class="td" title="\n \t\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% (513) \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">SARS-CoV-2 PCR positive</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">86% (441) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% (64) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" 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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" 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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">79% (505) \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">ED reconsultation 14 days</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">3% (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">10% (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="char" 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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" 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><td class="td" title="\n \t\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% (47) \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">Days to ED reconsultation</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">9.5 (3.1) \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">6.3 (3.2) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.003 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" 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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" 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="elsevierStyleItalic">Pneumonia in reconsultation</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="" 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">4% (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="" 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="char" 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">2% (13) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2905159.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Comparison of the characteristics of patients triaged as non-severe suspected COVID-19 depending on the presence of pneumonia in the chest X-ray.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:25 [ 0 => array:3 [ "identificador" => "bib0130" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:1 [ "referenciaCompleta" => "Weekly epidemiological update – 24 November 2020; n.d." ] ] ] 1 => array:3 [ "identificador" => "bib0135" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "COVID-19: from epidemiology to treatment" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "J.M. Pericàs" 1 => "M. Hernandez-Meneses" 2 => "T.P. Sheahan" 3 => "E. Quintana" 4 => "J. Ambrosioni" 5 => "E. Sandoval" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1093/eurheartj/ehaa462" "Revista" => array:6 [ "tituloSerie" => "Eur Heart J" "fecha" => "2020" "volumen" => "41" "paginaInicial" => "2092" "paginaFinal" => "2112" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32511724" "web" => "Medline" ] ] ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib0140" "etiqueta" => "3" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Clinical characteristics of COVID-19 in New York City" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "P. Goyal" 1 => "J.J. Choi" 2 => "L.C. Pinheiro" 3 => "E.J. Schenck" 4 => "R. Chen" 5 => "A. Jabri" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1056/NEJMc2010419" "Revista" => array:7 [ "tituloSerie" => "N Engl J Med" "fecha" => "2020" "volumen" => "382" "paginaInicial" => "2372" "paginaFinal" => "2374" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32302078" "web" => "Medline" ] ] "itemHostRev" => array:3 [ "pii" => "S188558571730066X" "estado" => "S300" "issn" => "18855857" ] ] ] ] ] ] ] 3 => array:3 [ "identificador" => "bib0145" "etiqueta" => "4" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "C. Huang" 1 => "Y. Wang" 2 => "X. Li" 3 => "L. Ren" 4 => "J. Zhao" 5 => "Y. Hu" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Lancet" "fecha" => "2020" "volumen" => "395" "paginaInicial" => "497" "paginaFinal" => "506" ] ] ] ] ] ] 4 => array:3 [ "identificador" => "bib0150" "etiqueta" => "5" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan China: a single-centered, retrospective, observational study" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "X. Yang" 1 => "Y. Yu" 2 => "J. Xu" 3 => "H. Shu" 4 => "J. Xia" 5 => "H. Liu" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/S2213-2600(20)30079-5" "Revista" => array:6 [ "tituloSerie" => "Lancet Respir Med" "fecha" => "2020" "volumen" => "8" "paginaInicial" => "475" "paginaFinal" => "481" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32105632" "web" => "Medline" ] ] ] ] ] ] ] ] 5 => array:3 [ "identificador" => "bib0155" "etiqueta" => "6" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "An adapted emergency department triage algorithm for the COVID-19 pandemic" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "D.W. Wallace" 1 => "S.L. Burleson" 2 => "M.A. Heimann" 3 => "J.C. Crosby" 4 => "J. Swanson" 5 => "C.B. Gibson" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:4 [ "tituloSerie" => "J Am Coll Emerg Phys Open" "fecha" => "2020" "paginaInicial" => "1" "paginaFinal" => "6" ] ] ] ] ] ] 6 => array:3 [ "identificador" => "bib0160" "etiqueta" => "7" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "Z. Ye" 1 => "Y. Zhang" 2 => "Y. Wang" 3 => "Z. Huang" 4 => "B. Song" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1007/s00330-015-4045-0" "Revista" => array:4 [ "tituloSerie" => "Eur Radiol" "fecha" => "2020" "paginaInicial" => "2019" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/26560718" "web" => "Medline" ] ] ] ] ] ] ] ] 7 => array:3 [ "identificador" => "bib0165" "etiqueta" => "8" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The role of imaging in 2019 novel coronavirus pneumonia (COVID-19)" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "W. Yang" 1 => "A. Sirajuddin" 2 => "X. Zhang" 3 => "G. Liu" 4 => "Z. Teng" 5 => "S. Zhao" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1007/s00330-020-06827-4" "Revista" => array:6 [ "tituloSerie" => "Eur Radiol" "fecha" => "2020" "volumen" => "30" "paginaInicial" => "4874" "paginaFinal" => "4882" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32296940" "web" => "Medline" ] ] ] ] ] ] ] ] 8 => array:3 [ "identificador" => "bib0170" "etiqueta" => "9" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The role of imaging in the management of suspected or known COVID-19 pneumonia: a multidisciplinary perspective" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "L. Roshkovan" 1 => "N. Chatterjee" 2 => "M. Galperin-Aizenberg" 3 => "N. Gupta" 4 => "R. Shah" 5 => "E.M. Barbosa" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1513/AnnalsATS.202006-600FR" "Revista" => array:7 [ "tituloSerie" => "Ann Am Thorac Soc" "fecha" => "2020" "volumen" => "17" "paginaInicial" => "1358" "paginaFinal" => "1365" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/33124905" "web" => "Medline" ] ] "itemHostRev" => array:3 [ "pii" => "S1885585719303329" "estado" => "S300" "issn" => "18855857" ] ] ] ] ] ] ] 9 => array:3 [ "identificador" => "bib0175" "etiqueta" => "10" "referencia" => array:1 [ 0 => array:1 [ "referenciaCompleta" => "Idescat. Indicadors anuals. Incidència setmanal de COVID-19; n.d." ] ] ] 10 => array:3 [ "identificador" => "bib0180" "etiqueta" => "11" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Clasificación de pacientes en los servicios de urgencias y emergencias" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => "J.G. Jiménez" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:4 [ "tituloSerie" => "Emergencias" "fecha" => "2003" "paginaInicial" => "165" "paginaFinal" => "174" ] ] ] ] ] ] 11 => array:3 [ "identificador" => "bib0185" "etiqueta" => "12" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Implementation of the Canadian Emergency Department Triage and Acuity Scale (CTAS) in the Principality of Andorra: Can triage parameters serve as emergency department quality indicators?" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "J. Gómez Jiménez" 1 => "M.J. Murray" 2 => "R. Beveridge" 3 => "J. Pons Pons" 4 => "E. Albert Cortés" 5 => "J.B. Ferrando Garrigós" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Can J Emerg Med" "fecha" => "2003" "volumen" => "5" "paginaInicial" => "315" "paginaFinal" => "322" "itemHostRev" => array:3 [ "pii" => "S188558571830481X" "estado" => "S300" "issn" => "18855857" ] ] ] ] ] ] ] 12 => array:3 [ "identificador" => "bib0190" "etiqueta" => "13" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Reliability of the Canadian emergency department triage and acuity scale: interrater agreement" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "R. Beveridge" 1 => "J. Ducharme" 2 => "L. Janes" 3 => "S. Beaulieu" 4 => "S. Walter" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/s0196-0644(99)70223-4" "Revista" => array:6 [ "tituloSerie" => "Ann Emerg Med" "fecha" => "1999" "volumen" => "34" "paginaInicial" => "155" "paginaFinal" => "159" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/10424915" "web" => "Medline" ] ] ] ] ] ] ] ] 13 => array:3 [ "identificador" => "bib0195" "etiqueta" => "14" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The Allplex 2019-nCoV (Seegene) assay: which performances are for SARS-CoV-2 infection diagnosis?" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "E. Farfour" 1 => "P. Lesprit" 2 => "B. Visseaux" 3 => "T. Pascreau" 4 => "E. Jolly" 5 => "N. Houhou" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1007/s10096-020-03930-8" "Revista" => array:6 [ "tituloSerie" => "Eur J Clin Microbiol Infect Dis" "fecha" => "2020" "volumen" => "39" "paginaInicial" => "1997" "paginaFinal" => "2000" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32462501" "web" => "Medline" ] ] ] ] ] ] ] ] 14 => array:3 [ "identificador" => "bib0200" "etiqueta" => "15" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Impact of the COVID-19 pandemic on hospital emergency departments: results of a survey of departments in 2020 – the Spanish ENCOVUR study" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "A. Alquézar-Arbé" 1 => "P. Piñera" 2 => "J. Jacob" 3 => "A. Martín" 4 => "S. Jiménez" 5 => "P. Llorens" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Emerg Rev La Soc Esp Med Emerg" "fecha" => "2020" "volumen" => "32" "paginaInicial" => "320" "paginaFinal" => "331" ] ] ] ] ] ] 15 => array:3 [ "identificador" => "bib0205" "etiqueta" => "16" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Analysis of clinical characteristics and outcomes in patients with COVID-19 based on a series of 1000 patients treated in Spanish emergency departments" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "A. Gil-Rodrigo" 1 => "Ò. Miró" 2 => "P. Piñera" 3 => "G. Burillo-Putze" 4 => "S. Jiménez" 5 => "A. Martín" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Emerg Rev La Soc Esp Med Emerg" "fecha" => "2020" "volumen" => "32" "paginaInicial" => "233" "paginaFinal" => "241" ] ] ] ] ] ] 16 => array:3 [ "identificador" => "bib0210" "etiqueta" => "17" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Clinical characteristics of patients hospitalized with COVID-19 in Spain: results from the SEMI-COVID-19 Registry" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "J.M. Casas-Rojo" 1 => "J.M. Antón-Santos" 2 => "J. Millán-Núñez-Cortés" 3 => "C. Lumbreras-Bermejo" 4 => "J.M. Ramos-Rincón" 5 => "E. Roy-Vallejo" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.rce.2020.07.003" "Revista" => array:6 [ "tituloSerie" => "Rev Clin Esp" "fecha" => "2020" "volumen" => "220" "paginaInicial" => "480" "paginaFinal" => "494" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/33994573" "web" => "Medline" ] ] ] ] ] ] ] ] 17 => array:3 [ "identificador" => "bib0215" "etiqueta" => "18" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Characterisation of 22<span class="elsevierStyleHsp" style=""></span>445 patients attending UK emergency departments with suspected COVID-19 infection: observational cohort study" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "S. Goodacre" 1 => "B. Thomas" 2 => "E. Lee" 3 => "L. Sutton" 4 => "A. Loban" 5 => "S. Waterhouse" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:4 [ "tituloSerie" => "PLoS One" "fecha" => "2020" "volumen" => "15" "paginaInicial" => "e0240206" ] ] ] ] ] ] 18 => array:3 [ "identificador" => "bib0220" "etiqueta" => "19" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "COVID-19 patients and the radiology department – advice from the European Society of Radiology (ESR) and the European Society of Thoracic Imaging (ESTI)" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "M.-P. Revel" 1 => "A.P. Parkar" 2 => "H. Prosch" 3 => "M. Silva" 4 => "N. Sverzellati" 5 => "F. Gleeson" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:2 [ "tituloSerie" => "Eur Radiol" "fecha" => "2020" ] ] ] ] ] ] 19 => array:3 [ "identificador" => "bib0225" "etiqueta" => "20" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Our Italian experience using lung ultrasound for identification, grading and serial follow-up of severity of lung involvement for management of patients with COVID-19" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "L. Vetrugno" 1 => "T. Bove" 2 => "D. Orso" 3 => "F. Barbariol" 4 => "F. Bassi" 5 => "E. Boero" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1111/echo.14664" "Revista" => array:6 [ "tituloSerie" => "Echocardiography" "fecha" => "2020" "volumen" => "37" "paginaInicial" => "625" "paginaFinal" => "627" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32239532" "web" => "Medline" ] ] ] ] ] ] ] ] 20 => array:3 [ "identificador" => "bib0230" "etiqueta" => "21" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Lung ultrasound findings in patients with COVID-19 pneumonia" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "C. Xing" 1 => "Q. Li" 2 => "H. Du" 3 => "W. Kang" 4 => "J. Lian" 5 => "L. Yuan" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1186/s13054-020-02876-9" "Revista" => array:5 [ "tituloSerie" => "Crit Care" "fecha" => "2020" "volumen" => "24" "paginaInicial" => "174" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32345353" "web" => "Medline" ] ] ] ] ] ] ] ] 21 => array:3 [ "identificador" => "bib0235" "etiqueta" => "22" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The role of initial chest X-ray in triaging patients with suspected COVID-19 during the pandemic" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "H.W. Kim" 1 => "K.M. Capaccione" 2 => "G. Li" 3 => "L. Luk" 4 => "R.S. Widemon" 5 => "O. Rahman" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1007/s10140-020-01808-y" "Revista" => array:6 [ "tituloSerie" => "Emerg Radiol" "fecha" => "2020" "volumen" => "27" "paginaInicial" => "617" "paginaFinal" => "621" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32572707" "web" => "Medline" ] ] ] ] ] ] ] ] 22 => array:3 [ "identificador" => "bib0240" "etiqueta" => "23" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "J. Mushtaq" 1 => "R. Pennella" 2 => "S. Lavalle" 3 => "A. Colarieti" 4 => "S. Steidler" 5 => "C.M.A. Martinenghi" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:2 [ "tituloSerie" => "Eur Radiol" "fecha" => "2020" ] ] ] ] ] ] 23 => array:3 [ "identificador" => "bib0245" "etiqueta" => "24" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Discharge in pandemic: suspected COVID-19 patients returning to the Emergency Department within 72<span class="elsevierStyleHsp" style=""></span>hours for admission" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "C. Margus" 1 => "S.E. Sondheim" 2 => "N.M. Peck" 3 => "B. Storch" 4 => "K.M. Ngai" 5 => "H.-E. Ho" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.ajem.2021.10.039" "Revista" => array:3 [ "tituloSerie" => "Am J Emerg Med" "fecha" => "2020" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/34740485" "web" => "Medline" ] ] ] ] ] ] ] ] 24 => array:3 [ "identificador" => "bib0250" "etiqueta" => "25" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Simple predictive models identify patients with COVID-19 pneumonia and poor prognosis" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "M. Riveiro-Barciela" 1 => "M. Labrador-Horrillo" 2 => "L. Camps-Relats" 3 => "D. González-Sans" 4 => "M. Ventura-Cots" 5 => "M. Terrones-Peinador" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1371/journal.pone.0244627" "Revista" => array:5 [ "tituloSerie" => "PLoS One" "fecha" => "2020" "volumen" => "15" "paginaInicial" => "e0244627" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/33370397" "web" => "Medline" ] ] ] ] ] ] ] ] ] ] ] ] "agradecimientos" => array:1 [ 0 => array:4 [ "identificador" => "xack602783" "titulo" => "Acknowledgements" "texto" => "<p id="par0145" class="elsevierStylePara elsevierViewall">Authors would like to acknowledge the collaboration and hard work in difficult times of rest of the Vall d’Hebron medical emergency group (Santiago Aranda-Rodríguez, Pablo Rodríguez De Vera-Marín, Cristina Marcos-Fosch, Begoña Santos-García de Vicuña, Lluís Jubany-Mari, Claudia Casellas-Montagut, Mireia López-Corbetó, Andrés Parra-Rojas, Isidro Sanz-Pérez, Marcelo Alvarado-Cárdenas, Cristina Pérez-Cameo, Paula Suanzes-Díez, Juan Espinosa-Pereiro, Luisa Roade-Tato, Pau Bosch-Nicolau, Jordi Navarro-Mercadé, Judit Vidal-González), ED staff (registered nurses, nurses, clerks) and all the other healthcare providers who transiently joined the ED.</p>" "vista" => "all" ] ] ] "idiomaDefecto" => "en" "url" => "/00257753/0000015800000010/v1_202205160511/S0025775321003195/v1_202205160511/en/main.assets" "Apartado" => array:4 [ "identificador" => "93343" "tipo" => "SECCION" "en" => array:2 [ "titulo" => "Originales" "idiomaDefecto" => true ] "idiomaDefecto" => "en" ] "PDF" => "https://static.elsevier.es/multimedia/00257753/0000015800000010/v1_202205160511/S0025775321003195/v1_202205160511/en/main.pdf?idApp=UINPBA00004N&text.app=https://www.elsevier.es/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0025775321003195?idApp=UINPBA00004N" ]
