Mostrar el registro sencillo del ítem

dc.contributor.authorPrado-Galbarro, Fancisco Javier 
dc.contributor.authorDel-Cura-González, Isabel
dc.contributor.authorGarrido-Elustondo, Sofía
dc.contributor.authorGamiño-Arroyo, Ana Estela 
dc.contributor.authorSanchez-Piedra, Carlos 
dc.contributor.authorSarria-Santamera, Antonio 
dc.date.accessioned2019-11-29T08:31:49Z
dc.date.available2019-11-29T08:31:49Z
dc.date.issued2017
dc.identifier.citationRev Esp Salud Publica. 2017 May 24;91. pii: e201705034.es_ES
dc.identifier.issn1135-5727es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/8722
dc.description.abstractOBJECTIVE: Heart failure (HF) is an important public health problem due to its increasing prevalence, and the decompensation associated with hospital admission represents an increased risk of death. The objective of this study was to compare several methods to model the variable hospitalizations and to determine the effect of factors associated with hospital admissions in incident cases of HF. METHODS: Study of a retrospective cohort of patients with information extracted from electronic medical records of PC was performed. Patients 24 year and older with at least 1 visit to PC in 2006 were included. Registered hospital admissions of HF incident cases between 2006 and 2010 or until death were analyzed and comparison of Poisson, Negative Binomial (NB), zero-inflated and Hurdle regression models were conducted to identify factors associated con hospitalizations. RESULTS: 3,061 patients were identified in a cohort of 227,984. Regarding the factors associated with hospitalizations and according to the zero inflated NB regression model, patients who presented valvular disease (OR=2.01; CI95% 1.22-3.30), or were being treated with antithrombotics (OR=3.45; CI95%: 1.61-7.42) or diuretics (OR=2.28; CI95% 1.13-4.58) had a lower likelihood of hospitalization. Factors associated with a higher rate of hospital admissions were having valvular disease (IRR=1.37; CI95% 1.03-1.81) or diabetes (IRR=1.38; 1.07-1.78), and being treated with calcium antagonists (IRR=1.35; CI95% 1.05- 1.73) or ACE inhibitors (IRR=1.43; CI95% 1.06- 1.92). Having being referred to a cardiologist had a protective effect (IRR=0.86; CI95% 0.76- 0.97). CONCLUSIONS: The regression model that obtained the best adjustment was the zero inflated NB. According to this model, the factors associated with an increase in hospital admissions were valvulopathies, diabetes and treatment with calcium antagonists.es_ES
dc.description.sponsorshipFinanciación: REDISSEC (RETIC RD12/0001) y BRIGE HEALTH (Programa de Salud de la Unión Europea (2014-2020) proyecto 664691).es_ES
dc.language.isospaes_ES
dc.publisherMinisterio de Sanidad y Consumo (España) es_ES
dc.type.hasVersionVoRes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectAmbulatory careses_ES
dc.subjectCalcium Channel Antagonistses_ES
dc.subjectHeart Failurees_ES
dc.subjectHeart Valve Diseaseses_ES
dc.subjectHospitalizationes_ES
dc.subjectHypertensiones_ES
dc.subjectPoisson Distributiones_ES
dc.subjectPrimary Health Carees_ES
dc.subjectRegression Analysises_ES
dc.subjectSpaines_ES
dc.subjectDiabetes mellituses_ES
dc.subjectDiureticses_ES
dc.subject.meshAged es_ES
dc.subject.meshCalcium es_ES
dc.subject.meshCohort Studies es_ES
dc.subject.meshDiabetes Mellitus es_ES
dc.subject.meshFemale es_ES
dc.subject.meshHeart Failure es_ES
dc.subject.meshHeart Valve Diseases es_ES
dc.subject.meshHospitalization es_ES
dc.subject.meshHumans es_ES
dc.subject.meshMale es_ES
dc.subject.meshMiddle Aged es_ES
dc.subject.meshModels, Statistical es_ES
dc.subject.meshPoisson Distribution es_ES
dc.subject.meshRegression Analysis es_ES
dc.subject.meshRetrospective Studies es_ES
dc.subject.meshRisk Factors es_ES
dc.subject.meshSpain es_ES
dc.subject.meshPatient Admission es_ES
dc.titleComparación de métodos para modelizar los factores asociados con los ingresos hospitalarios en casos incidentes de insuficiencia cardíacaes_ES
dc.title.alternativeA Comparison of Methods for Modeling Factors Associated with Hospital Admissions in Incident Cases of Heart Failurees_ES
dc.typejournal articlees_ES
dc.rights.licenseAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.identifier.pubmedID28534866es_ES
dc.format.volume91es_ES
dc.contributor.funderRETICS-Servicios de Salud Orientados a Enfermedades Crónicas (REDISSEC-ISCIII) (España) 
dc.description.peerreviewedes_ES
dc.identifier.e-issn2173-9110es_ES
dc.relation.publisherversionhttp://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S1135-57272017000100407&lng=es&nrm=isoes_ES
dc.identifier.journalRevista española de salud publicaes_ES
dc.repisalud.centroISCIII::Escuela Nacional de Sanidades_ES
dc.repisalud.institucionISCIIIes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/664691es_ES
dc.rights.accessRightsopen accesses_ES


Ficheros en el ítem

Acceso Abierto
Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Atribución-NoComercial-CompartirIgual 4.0 Internacional
Este Item está sujeto a una licencia Creative Commons: Atribución-NoComercial-CompartirIgual 4.0 Internacional