Comparación de métodos para modelizar los factores asociados con los ingresos hospitalarios en casos incidentes de insuficiencia cardíaca

OBJECTIVE: 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...

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Autores: Prado-Galbarro, Francisco Javier, Del Cura-González, Isabel, Garrido-Elustondo, Sofía, Gamiño-Arroyo, Ana Estela, Sanchez-Piedra, Carlos, Sarria-Santamera, Antonio
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Instituto de Salud Carlos III (ISCIII)
Repositorio:Repisalud
Idioma:español
OAI Identifier:oai:repisalud.isciii.es:20.500.12105/8722
Acceso en línea:http://hdl.handle.net/20.500.12105/8722
Access Level:acceso abierto
Palabra clave:Aged
Calcium
Cohort Studies
Diabetes Mellitus
Female
Heart Failure
Heart Valve Diseases
Hospitalization
Humans
Male
Middle Aged
Models, Statistical
Poisson Distribution
Regression Analysis
Retrospective Studies
Risk Factors
Spain
Patient Admission
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network_name_str España
repository_id_str
spelling Comparación de métodos para modelizar los factores asociados con los ingresos hospitalarios en casos incidentes de insuficiencia cardíacaA Comparison of Methods for Modeling Factors Associated with Hospital Admissions in Incident Cases of Heart FailurePrado-Galbarro, Francisco JavierDel Cura-González, IsabelGarrido-Elustondo, SofíaGamiño-Arroyo, Ana EstelaSanchez-Piedra, CarlosSarria-Santamera, AntonioAgedCalciumCohort StudiesDiabetes MellitusFemaleHeart FailureHeart Valve DiseasesHospitalizationHumansMaleMiddle AgedModels, StatisticalPoisson DistributionRegression AnalysisRetrospective StudiesRisk FactorsSpainPatient AdmissionOBJECTIVE: 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.Ministerio de Sanidad y Consumo (España)RETICS-Servicios de Salud Orientados a Enfermedades Crónicas (REDISSEC-ISCIII) (España)20192019-11-2920172017-01-0120172017-01-01research articlehttp://purl.org/coar/resource_type/c_2df8fbb1VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/20.500.12105/8722reponame:Repisaludinstname:Instituto de Salud Carlos III (ISCIII)EspañolspaES 664691 Not availableopen accesshttp://purl.org/coar/access_right/c_abf2Atribución-NoComercial-CompartirIgual 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:repisalud.isciii.es:20.500.12105/87222026-06-12T12:43:37Z
dc.title.none.fl_str_mv Comparación de métodos para modelizar los factores asociados con los ingresos hospitalarios en casos incidentes de insuficiencia cardíaca
A Comparison of Methods for Modeling Factors Associated with Hospital Admissions in Incident Cases of Heart Failure
title Comparación de métodos para modelizar los factores asociados con los ingresos hospitalarios en casos incidentes de insuficiencia cardíaca
spellingShingle Comparación de métodos para modelizar los factores asociados con los ingresos hospitalarios en casos incidentes de insuficiencia cardíaca
Prado-Galbarro, Francisco Javier
Aged
Calcium
Cohort Studies
Diabetes Mellitus
Female
Heart Failure
Heart Valve Diseases
Hospitalization
Humans
Male
Middle Aged
Models, Statistical
Poisson Distribution
Regression Analysis
Retrospective Studies
Risk Factors
Spain
Patient Admission
title_short Comparación de métodos para modelizar los factores asociados con los ingresos hospitalarios en casos incidentes de insuficiencia cardíaca
title_full Comparación de métodos para modelizar los factores asociados con los ingresos hospitalarios en casos incidentes de insuficiencia cardíaca
title_fullStr Comparación de métodos para modelizar los factores asociados con los ingresos hospitalarios en casos incidentes de insuficiencia cardíaca
title_full_unstemmed Comparación de métodos para modelizar los factores asociados con los ingresos hospitalarios en casos incidentes de insuficiencia cardíaca
title_sort Comparación de métodos para modelizar los factores asociados con los ingresos hospitalarios en casos incidentes de insuficiencia cardíaca
dc.creator.none.fl_str_mv Prado-Galbarro, Francisco Javier
Del Cura-González, Isabel
Garrido-Elustondo, Sofía
Gamiño-Arroyo, Ana Estela
Sanchez-Piedra, Carlos
Sarria-Santamera, Antonio
author Prado-Galbarro, Francisco Javier
author_facet Prado-Galbarro, Francisco Javier
Del Cura-González, Isabel
Garrido-Elustondo, Sofía
Gamiño-Arroyo, Ana Estela
Sanchez-Piedra, Carlos
Sarria-Santamera, Antonio
author_role author
author2 Del Cura-González, Isabel
Garrido-Elustondo, Sofía
Gamiño-Arroyo, Ana Estela
Sanchez-Piedra, Carlos
Sarria-Santamera, Antonio
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv RETICS-Servicios de Salud Orientados a Enfermedades Crónicas (REDISSEC-ISCIII) (España)
dc.subject.none.fl_str_mv Aged
Calcium
Cohort Studies
Diabetes Mellitus
Female
Heart Failure
Heart Valve Diseases
Hospitalization
Humans
Male
Middle Aged
Models, Statistical
Poisson Distribution
Regression Analysis
Retrospective Studies
Risk Factors
Spain
Patient Admission
topic Aged
Calcium
Cohort Studies
Diabetes Mellitus
Female
Heart Failure
Heart Valve Diseases
Hospitalization
Humans
Male
Middle Aged
Models, Statistical
Poisson Distribution
Regression Analysis
Retrospective Studies
Risk Factors
Spain
Patient Admission
description OBJECTIVE: 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.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01
2017
2017-01-01
2019
2019-11-29
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12105/8722
url http://hdl.handle.net/20.500.12105/8722
dc.language.none.fl_str_mv Español
spa
language_invalid_str_mv Español
language spa
dc.relation.none.fl_str_mv ES 664691 Not available
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-CompartirIgual 4.0 Internacional
http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-CompartirIgual 4.0 Internacional
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Ministerio de Sanidad y Consumo (España)
publisher.none.fl_str_mv Ministerio de Sanidad y Consumo (España)
dc.source.none.fl_str_mv reponame:Repisalud
instname:Instituto de Salud Carlos III (ISCIII)
instname_str Instituto de Salud Carlos III (ISCIII)
reponame_str Repisalud
collection Repisalud
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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