2024-03-29T00:26:31Zhttp://repisalud.isciii.es/oai/requestoai:repisalud.isciii.es:20.500.12105/71602022-08-12T06:28:08Zcom_20.500.12105_2081com_20.500.12105_2052com_20.500.12105_2051com_20.500.12105_2123col_20.500.12105_2082col_20.500.12105_2124
Repisalud
author
García-Olmos, Luis
author
Rodríguez-Salvanés, Francisco
author
Batlle-Pérez, Maurice
author
Aguilar-Torres, Río
author
Porro-Fernández, Carlos
author
García-Cabello, Alfredo
author
Carmona, Montserrat
author
Ruiz-Alonso, Sergio
author
Garrido-Elustondo, Sofía
author
Alberquilla, Angel
author
Sanchez-Gomez, Luis Maria
author
Sánchez-de-Madariaga, Ricardo
author
Monge-Navarrete, Elena
author
Benito-Ortiz, Luis
author
Baños-Pérez, Nicolás
author
Simón-Puerta, Amaya
author
López Rodríguez, Ana Belén
author
Martínez-Álvarez, Miguel Ángel
author
Velilla-Celma, María Ángeles
author
Bernal-Gómez, María Isabel
funder
Instituto de Salud Carlos III
funder
European Regional Development Fund
2019-02-11T11:47:37Z
2019-02-11T11:47:37Z
2017-06-08
BMJ Open. 2017 Jun 8;7(6):e014840
2044-6055
http://hdl.handle.net/20.500.12105/7160
28600367
10.1136/bmjopen-2016-014840
BMJ open
BACKGROUND: 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.
eng
Development and validation of a risk stratification model for prediction of disability and hospitalisation in patients with heart failure: a study protocol
journal article
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URL
https://repisalud.isciii.es/bitstream/20.500.12105/7160/1/DevelopmentValidationOfRisk_2018.pdf
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https://repisalud.isciii.es/bitstream/20.500.12105/7160/3/DevelopmentValidationOfRisk_2018.pdf.txt
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DevelopmentValidationOfRisk_2018.pdf.txt