Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12530/65505
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGarcía-Olmos, Luis
dc.contributor.authorAguilar, Río
dc.contributor.authorLora, David
dc.contributor.authorCarmona, Montse
dc.contributor.authorAlberquilla, Angel
dc.contributor.authorGarcía-Caballero, Rebeca
dc.contributor.authorSánchez-Gómez, Luis
dc.contributor.authorCHIC Group
dc.date.accessioned2023-01-23T11:31:18Z-
dc.date.available2023-01-23T11:31:18Z-
dc.date.issued2019-08-16
dc.identifier.citationPLoS One.2019;(14)8:e0221434
dc.identifier.urihttps://hdl.handle.net/20.500.12530/65505-
dc.description.abstractHeart failure (HF) is the leading cause of hospitalization in people over age 65. Predictive hospital admission models have been developed to help reduce the number of these patients. To develop and internally validate a model to predict hospital admission in one-year for any non-programmed cause in heart failure patients receiving primary care treatment. Cohort study, prospective. Patients treated in family medicine clinics. Logistic regression analysis was used to estimate the association between the predictors and the outcome, i.e. unplanned hospitalization over a 12-month period. The predictive model was built in several steps. The initial examination included a set of 31 predictors. Bootstrapping was used for internal validation. The study included 251 patients, 64 (25.5%) of whom were admitted to hospital for some unplanned cause over the 12 months following their date of inclusion in the study. Four predictive variables of hospitalization were identified: NYHA class III-IV, OR (95% CI) 2.46 (1.23-4.91); diabetes OR (95% CI) 1.94 (1.05-3.58); COPD OR (95% CI) 3.17 (1.45-6.94); MLHFQ Emotional OR (95% CI) 1.07 (1.02-1.12). AUC 0.723; R2N 0.17; Hosmer-Lemeshow 0.815. Internal validation AUC 0.706.; R2N 0.134. This is a simple model to predict hospitalization over a 12-month period based on four variables: NYHA functional class, diabetes, COPD and the emotional dimension of the MLHFQ scale. It has an acceptable discriminative capacity enabling the identification of patients at risk of hospitalization.
dc.language.isoen
dc.rightsopenAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subject.meshAged
dc.subject.meshFemale
dc.subject.meshHeart Failure
dc.subject.meshHospitalization
dc.subject.meshHumans
dc.subject.meshMale
dc.subject.meshMiddle Aged
dc.subject.meshModels, Cardiovascular
dc.subject.meshPrimary Health Care
dc.subject.meshProspective Studies
dc.subject.meshRisk Factors
dc.titleDevelopment of a predictive model of hospitalization in primary care patients with heart failure.
dc.typeArtículo
dc.identifier.pubmedID31419267
dc.format.volume14
dc.format.pagee0221434
dc.identifier.e-issn1932-6203
dc.identifier.journalPloS one
dc.identifier.journalabbreviationPLoS One
dc.identifier.doi10.1371/journal.pone.0221434
dc.format.number8
dc.identifier.pmcPMC6697326
dc.pubmedtypeClinical Trial
dc.pubmedtypeJournal Article
dc.pubmedtypeMulticenter Study
dc.pubmedtypeResearch Support, Non-U.S. Gov't
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6697326/pdf
Appears in Collections:Hospitales > H. U. Infanta Sofía > Artículos

Files in This Item:
File SizeFormat 
PMC6697326.pdf468.71 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons