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dc.contributor.authorEnriquez de Salamanca Gambara, Rodrigo
dc.contributor.authorSanz García, Ancor
dc.contributor.authorPozo Vegas, Carlos del 
dc.contributor.authorLópez Izquierdo, Raúl 
dc.contributor.authorSánchez Soberón, Irene
dc.contributor.authorDelgado Benito, Juan F.
dc.contributor.authorMartínez Diaz, Raquel
dc.contributor.authorMazas Pérez-Oleaga, Cristina
dc.contributor.authorMartínez López, Nohora Milena
dc.contributor.authorDomínguez Azpíroz, Irma
dc.contributor.authorMartín Rodríguez, Francisco 
dc.date.accessioned2024-06-24T10:35:09Z
dc.date.available2024-06-24T10:35:09Z
dc.date.issued2024
dc.identifier.citationDiagnostics, 2024, Vol. 14, Nº. 12, 1292es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/68208
dc.descriptionProducción Científicaes
dc.description.abstractAim: The development of predictive models for patients treated by emergency medical services (EMS) is on the rise in the emergency field. However, how these models evolve over time has not been studied. The objective of the present work is to compare the characteristics of patients who present mortality in the short, medium and long term, and to derive and validate a predictive model for each mortality time. Methods: A prospective multicenter study was conducted, which included adult patients with unselected acute illness who were treated by EMS. The primary outcome was noncumulative mortality from all causes by time windows including 30-day mortality, 31- to 180-day mortality, and 181- to 365-day mortality. Prehospital predictors included demographic variables, standard vital signs, prehospital laboratory tests, and comorbidities. Results: A total of 4830 patients were enrolled. The noncumulative mortalities at 30, 180, and 365 days were 10.8%, 6.6%, and 3.5%, respectively. The best predictive value was shown for 30-day mortality (AUC = 0.930; 95% CI: 0.919–0.940), followed by 180-day (AUC = 0.852; 95% CI: 0.832–0.871) and 365-day (AUC = 0.806; 95% CI: 0.778–0.833) mortality. Discussion: Rapid characterization of patients at risk of short-, medium-, or long-term mortality could help EMS to improve the treatment of patients suffering from acute illnesses.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherMDPIes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectEmergency medical serviceses
dc.subjectServicios médicos de urgenciaes
dc.subjectEmergency medicinees
dc.subjectMedicina de urgenciaes
dc.subjectMortalityes
dc.subjectMortalidades
dc.subjectPublic healthes
dc.subjectDiagnostic serviceses
dc.subjectDiagnósticoes
dc.subject.classificationPredictive modelses
dc.subject.classificationModelos predictivoses
dc.titleA comparison of the clinical characteristics of short-, mid-, and long-term mortality in patients attended by the emergency medical services: an observational studyes
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2024 The authorses
dc.identifier.doi10.3390/diagnostics14121292es
dc.relation.publisherversionhttps://www.mdpi.com/2075-4418/14/12/1292es
dc.identifier.publicationfirstpage1292es
dc.identifier.publicationissue12es
dc.identifier.publicationtitleDiagnosticses
dc.identifier.publicationvolume14es
dc.peerreviewedSIes
dc.description.projectJunta de Castilla y León, Gerencia Regional de Salud - (grant GRS 1903/A/19 and GRS 2131/A/20)es
dc.identifier.essn2075-4418es
dc.rightsAtribución 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones
dc.subject.unesco32 Ciencias Médicases
dc.subject.unesco3212 Salud Publicaes


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