Risk for Incident Heart Failure: A Subject‐Level Meta‐Analysis From the Heart “OMics” in AGEing (HOMAGE) Study

Background To address the need for personalized prevention, we conducted a subject‐level meta‐analysis within the framework of the Heart “OMics” in AGEing (HOMAGE) study to develop a risk prediction model for heart failure (HF) based on routinely available clinical measurements. Methods and Results...

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Bibliographic Details
Published in:	Journal of the American Heart Association Vol. 6; no. 5
Main Authors:	Jacobs, Lotte, Efremov, Ljupcho, Ferreira, João Pedro, Thijs, Lutgarde, Yang, Wen‐Yi, Zhang, Zhen‐Yu, Latini, Roberto, Masson, Serge, Agabiti, Nera, Sever, Peter, Delles, Christian, Sattar, Naveed, Butler, Javed, Cleland, John G. F., Kuznetsova, Tatiana, Staessen, Jan A., Zannad, Faiez, Pinet, Florence, Pizard, Anne, Rouet, Philippe, Leenders, Joost, Diez, Javier, Odili, Augustine, Wei, Fang‐Fei, Newman, Anne, Papadimitrious, Lampros, Davoli, Marina, Mureddu, Gian Francesco, Ford, Ian, Jukema, Wouter, Stott, David J., Poulter, Neil
Format:	Journal Article
Language:	English
Published:	England Wiley-Blackwell 01.05.2017 John Wiley and Sons Inc Wiley
Subjects:	Adult Age Factors Aged Aged, 80 and over Aging - blood Area Under Curve Biomarkers - blood Blood Pressure Chi-Square Distribution Comorbidity Decision Support Techniques Female Geriatric Assessment heart failure Heart Failure - blood Heart Failure - diagnosis Heart Failure - epidemiology Heart Failure - physiopathology Heart Rate Hospitalization Human health and pathology Humans Incidence Life Sciences Life Style Linear Models Male meta‐analysis Middle Aged Multivariate Analysis Predictive Value of Tests Prognosis Proportional Hazards Models Risk Assessment risk factor Risk Factors risk prediction ROC Curve Systematic Review and Meta‐Analysis Time Factors heart failure meta‐analysis risk factor risk prediction
ISSN:	2047-9980, 2047-9980
Online Access:	Get full text
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