array:22 [ "pii" => "S0025775300712309" "issn" => "00257753" "doi" => "10.1016/S0025-7753(00)71230-9" "estado" => "S300" "fechaPublicacion" => "2000-01-01" "aid" => "71230" "copyright" => "Elsevier España, S.L.. Todos los derechos reservados" "copyrightAnyo" => "2000" "documento" => "article" "crossmark" => 0 "subdocumento" => "fla" "cita" => "Med Clin. 2000;114:161-4" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 2103 "formatos" => array:3 [ "EPUB" => 6 "HTML" => 2013 "PDF" => 84 ] ] "itemSiguiente" => array:18 [ "pii" => "S0025775300712310" "issn" => "00257753" "doi" => "10.1016/S0025-7753(00)71231-0" "estado" => "S300" "fechaPublicacion" => "2000-01-01" "aid" => "71231" "copyright" => "Elsevier España, S.L." "documento" => "article" "crossmark" => 0 "subdocumento" => "fla" "cita" => "Med Clin. 2000;114:165-8" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 1423 "formatos" => array:3 [ "EPUB" => 7 "HTML" => 1324 "PDF" => 92 ] ] "es" => array:11 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Originales</span>" "titulo" => "Factores asociados al desarrollo de atopia en adultos jóvenes" "tienePdf" => "es" "tieneTextoCompleto" => 0 "tieneResumen" => array:2 [ 0 => "es" 1 => "en" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "165" "paginaFinal" => "168" ] ] "titulosAlternativos" => array:1 [ "en" => array:1 [ "titulo" => "Factors associated to the development of atopy in young Spanish adults" ] ] "contieneResumen" => array:2 [ "es" => true "en" => true ] "contienePdf" => array:1 [ "es" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Xavier Cortès, Joan B. Soriano, Jordi Sunyer, Jesús Martínez-Moratalla, Nerea Muniozgoren, José Antonio Maldonado, Ramón Quirós, Josep M.<span class="elsevierStyleSup">a</span> Antó" "autores" => array:8 [ 0 => array:2 [ "nombre" => "Xavier" "apellidos" => "Cortès" ] 1 => array:2 [ "nombre" => "Joan B." "apellidos" => "Soriano" ] 2 => array:2 [ "nombre" => "Jordi" "apellidos" => "Sunyer" ] 3 => array:2 [ "nombre" => "Jesús" "apellidos" => "Martínez-Moratalla" ] 4 => array:2 [ "nombre" => "Nerea" "apellidos" => "Muniozgoren" ] 5 => array:2 [ "nombre" => "José" "apellidos" => "Antonio Maldonado" ] 6 => array:2 [ "nombre" => "Ramón" "apellidos" => "Quirós" ] 7 => array:2 [ "nombre" => "Josep M.<span class="elsevierStyleSup">a</span>" "apellidos" => "Antó" ] ] ] ] ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0025775300712310?idApp=UINPBA00004N" "url" => "/00257753/0000011400000005/v1_201307291446/S0025775300712310/v1_201307291446/es/main.assets" ] "es" => array:15 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Originales</span>" "titulo" => "Mortalidad hospitalaria en la hemorragia subaracnoidea. Experiencia del «Registro Barcelona de Enfermedades Cerebrovasculares»" "tieneTextoCompleto" => 0 "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "161" "paginaFinal" => "164" ] ] "autores" => array:2 [ 0 => array:4 [ "autoresLista" => "Adrià Arboix" "autores" => array:1 [ 0 => array:3 [ "nombre" => "Adrià" "apellidos" => "Arboix" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] ] "afiliaciones" => array:1 [ 0 => array:1 [ "entidad" => "Unidad de Patología Vascular Cerebral. Servicio de Neurología. Hospital del Sagrat Cor. Barcelona" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "*" "correspondencia" => "Correspondencia: Unitat de Patologia Vascular Cerebral. Servei de Neurologia. Hospital Sagrat Cor. Viladomat, 288. 08029 Barcelona." ] ] ] 1 => array:3 [ "autoresLista" => "Josep Lluís Martí-Vilalta" "autores" => array:1 [ 0 => array:3 [ "nombre" => "Josep" "apellidos" => "Lluís Martí-Vilalta" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff00005" ] ] ] ] "afiliaciones" => array:1 [ 0 => array:3 [ "entidad" => "Hospital de la Santa Creu i Sant Pau. Barcelona" "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff00005" ] ] ] ] "titulosAlternativos" => array:1 [ "en" => array:1 [ "titulo" => "In-hospital mortality due to subarachnoid hemorrhage in the «Barcelona Stroke Registry»" ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "1999-09-13" "fechaAceptado" => "1999-11-02" "PalabrasClave" => array:1 [ "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec221272" "palabras" => array:4 [ 0 => "Hemorragia subaracnoidea" 1 => "Mortalidad hospitalaria" 2 => "Análisis multivariante" 3 => "Valor predictivo" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "es" => array:1 [ "resumen" => "<span class="elsevierStyleSectionTitle">Fundamento</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Conocer los factores predictores de la mortalidad hospitalaria en los pacientes con hemorragiasubaracnoidea (HSA).</p> <span class="elsevierStyleSectionTitle">Pacientes y métodos</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Se seleccionaron los 184 pacientes con HSA del «Registro Barcelona de EnfermedadesCerebrovasculares». Las variables demográficas, clínicas, de neuroimagen y evolutivas en elgrupo de pacientes que fallecieron durante el ingreso hospitalario se compararon con el grupo de supervivientes.El valor predictor independiente de cada variable para la presencia de mortalidad hospitalariafue valorado mediante tres modelos de regresión logística. El primero, basado en 10 variablesdemográficas y clínicas; el segundo, basado en 17 variables demográficas, clínicas y de neuroimagen;y el tercero, en 21 variables demográficas, clínica de neuroimagen y evolutivas.</p> <span class="elsevierStyleSectionTitle">Resultados</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Durante el ingreso hospitalario fallecieron 44 pacientes (24%). La presencia de un déficitneurológico transitorio (OR = 13,92; IC del 95%: 1,01-191,95), el inicio progresivo de la enfermedad(OR = 4,21; IC del 95%: 1,28-13,86), la presencia de un déficit motor (OR = 3,24; IC del 95%:1,49-7,08) y la edad (OR = 1,05; IC del 95%: 1,02-1,09) fueron factores predictores de mortalidadhospitalaria en el primer modelo. Junto a estas cuatro variables, la presencia de hemorragia intraventricular(OR = 5,51; IC del 95%: 1,65-1,84) fue seleccionada en el segundo modelo. La presencia deun déficit neurológico transitorio (OR = 41,2; IC del 95%: 1,61-1056,2), de complicaciones neurológicas(OR = 11; IC del 95%: 3,85-31,74), de una malformación arterial carotídea (OR = 6,61; IC del95%: 1,23-35,43), de hemorragia intraventricular (OR = 5,51; IC del 95%: 1,65-18,4), el inicio progresivode la enfermedad (OR = 5,35; IC del 95%: 1,11-25,90) y la coexistencia de una hemorragiacerebral hemisférica (OR = 4,32; IC del 95%: 1,35-13,90) fueron las variables predictoras seleccionadasen el tercer modelo multivariante.</p> <span class="elsevierStyleSectionTitle">Conclusiones</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Varios datos clínicos –fácilmente obtenibles en la cabecera de la cama del enfermo– yreurorradiológicos –fácilmente objetivables en los exámenes complementarios de neuroimagen– ayudana predecir la mortalidad hospitalaria en los pacientes con HSA. La presencia de manifestaciones neurológicastransitorias previas a la HSA definitiva constituye el principal factor predictor de mortalidad.</p>" ] "en" => array:1 [ "resumen" => "<span class="elsevierStyleSectionTitle">Objetives</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">To determine clinical predictors of in-hospital mortality in patients with non-traumatic subarachnoidhemorrhage.</p> <span class="elsevierStyleSectionTitle">Patients and methods</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Data de 184 patients with subarachnoid hemorrhage were obtained from consecutivestroke included in the prospective «Barcelona Stroke Resgistry». Demographic, anamnestic, clinical,neuroimaging and outcome variables in the subgroup of patients who died were compared withthose in the surviving subgroup. The independent predictive value of each variable on the developmentof death was asessed with a logistic regression analysis. Three predictive models were constructed. Afirst model was based on demographic and clinical variables (total 10 variables). A second model wasbased on demographic, clinical and neuroimaging variables (total 17). A third model was based on demographic,clinical, neuroimaging and outcome variables (total 21).</p> <span class="elsevierStyleSectionTitle">Results</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">In-hospital death was observed in 44 patients (24%). Transient neurological deficit (OR =13.92; 95% CI: 1.01-191.95), progressive deficit (OR = 4.21; 95% IC: 1.28-13.86), limb weakness(OR = 3.24; 95% IC: 1.49-7.08) and age (OR = 1.05; 95% CI: 1.02-1.09) appeared to be independentprognostic factors of in-hospital mortality in the first predictive model. In addition to these variables,intraventricular hemorrhage (OR = 5.51; 95% CI: 1.94-16.04) was selected in the second predictivemodel. Transient neurological deficit (OR = 41.2; 95% CI: 1.61-1056.2), neurologicalcomplications (OR = 11.04; CI del 95%: 3.85-31.74), carotid aneurysm (OR = 6.61; 95% CI: 1.23-35.43), intraventricular hemorrhage (OR = 5.51; 95% CI: 1.65-18.4), progressive deficit (OR = 5.35;95% CI: 1.11-25.90) and hemispheric intracerebral hemorrhage (OR = 4.32; 95% CI: 1.35-13.90),appeared to be independent prognostic factors of in-hospital mortality in the third model.</p> <span class="elsevierStyleSectionTitle">Conclusions</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Clinical features easily obtained at the patient's bedside in additon to neuroimaging dataeasily obtained in routine neuroimaging studies help clinicians to predict in-hospital mortality in patientswith subarachnoid hemorrhage. 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