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dc.contributor.authorGarcía-Olmos, Luis
dc.contributor.authorRodríguez-Salvanés, Francisco
dc.contributor.authorBatlle-Pérez, Maurice
dc.contributor.authorAguilar-Torres, Río
dc.contributor.authorPorro-Fernández, Carlos
dc.contributor.authorGarcía-Cabello, Alfredo
dc.contributor.authorCarmona, Montserrat 
dc.contributor.authorRuiz-Alonso, Sergio
dc.contributor.authorGarrido-Elustondo, Sofía
dc.contributor.authorAlberquilla, Angel
dc.contributor.authorSanchez-Gomez, Luis Maria 
dc.contributor.authorSanchez Madariaga, Ricardo 
dc.contributor.authorMonge-Navarrete, Elena
dc.contributor.authorBenito-Ortiz, Luis
dc.contributor.authorBaños-Pérez, Nicolás
dc.contributor.authorSimón-Puerta, Amaya
dc.contributor.authorLópez Rodríguez, Ana Belén
dc.contributor.authorMartínez-Álvarez, Miguel Ángel
dc.contributor.authorVelilla-Celma, María Ángeles
dc.contributor.authorBernal-Gómez, María Isabel
dc.identifier.citationBMJ Open. 2017 Jun 8;7(6):e014840es_ES
dc.description.abstractBACKGROUND: Chronic heart failure (CHF) reduces quality of life and causes hospitalisation and death. Identifying predictive factors of such events may help change the natural history of this condition. AIM: To develop and validate a stratification system for classifying patients with CHF, according to their degree of disability and need for hospitalisation due to any unscheduled cause, over a period of 1 year. METHODS AND ANALYSIS: Prospective, concurrent, cohort-type study in two towns in the Madrid autonomous region having a combined population of 1 32 851. The study will include patients aged over 18 years who meet the following diagnostic criteria: symptoms and typical signs of CHF (Framingham criteria) and left ventricular ejection fraction (EF)<50% or structural cardiac lesion and/or diastolic dysfunction in the presence of preserved EF (EF>50%).Outcome variables will be(a) Disability, as measured by the WHO Disability Assessment Schedule V.2.0 Questionnaire, and (b) unscheduled hospitalisations. The estimated sample size is 557 patients, 371 for predictive model development (development cohort) and 186 for validation purposes (validation cohort). Predictive models of disability or hospitalisation will be constructed using logistic regression techniques. The resulting model(s) will be validated by estimating the probability of outcomes of interest for each individual included in the validation cohort. ETHICS AND DISSEMINATION: The study protocol has been approved by the Clinical Research Ethics Committee of La Princesa University Teaching Hospital (PI-705). All results will be published in a peer-reviewed journal and shared with the medical community at conferences and scientific meetings.es_ES
dc.description.sponsorshipThis study was funded by Health Research Fund (Fondo de InvestigacionesSanitarias/FIS) grant no. PI 14/01677 and co-financed with European Regional Development Fund (ERDF) funds (Carlos III Institute of Health-Research Network for Chronic Diseases/ISCIII–REDISSEC Project).es_ES
dc.publisherBMJ Publishing Groupes_ES
dc.relation.isversionofPublisher's versiones_ES
dc.subject.meshAged es_ES
dc.subject.meshAged, 80 and over es_ES
dc.subject.meshChronic Disease es_ES
dc.subject.meshFemale es_ES
dc.subject.meshHeart Failure 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.meshPredictive Value of Tests es_ES
dc.subject.meshProspective Studies es_ES
dc.subject.meshRisk Assessment es_ES
dc.subject.meshRisk Factors es_ES
dc.subject.meshSpain es_ES
dc.subject.meshDisability Evaluation es_ES
dc.titleDevelopment and validation of a risk stratification model for prediction of disability and hospitalisation in patients with heart failure: a study protocoles_ES
dc.rights.licenseAtribución-NoComercial 4.0 Internacional*
dc.contributor.funderFondo de Investigaciones Sanitariases_ES
dc.contributor.funderInstituto de Salud Carlos III-ISCIIIes_ES
dc.contributor.funderEuropean Regional Development Fund (ERDF/FEDER)es_ES
dc.identifier.journalBMJ openes_ES
dc.repisalud.centroISCIII::Unidad de Investigación en Telemedicina y eSaludes_ES
dc.repisalud.centroISCIII::Agencia de Evaluación de Tecnologías Sanitariases_ES

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Atribución-NoComercial 4.0 Internacional
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