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

Autor: Lotte Jacobs, Ljupcho Efremov, João Pedro Ferreira, Lutgarde Thijs, Wen‐Yi Yang, Zhen‐Yu Zhang, Roberto Latini, Serge Masson, Nera Agabiti, Peter Sever, Christian Delles, Naveed Sattar, Javed Butler, John G. F. Cleland, Tatiana Kuznetsova, Jan A. Staessen, Faiez Zannad, Florence Pinet, Anne Pizard, Philippe Rouet, Joost Leenders, Javier Diez, Augustine Odili, Fang‐Fei Wei, Anne Newman, Lampros Papadimitrious, Marina Davoli, Gian Francesco Mureddu, Ian Ford, Wouter Jukema, David J. Stott, Neil Poulter
Přispěvatelé: Department of Cardiovascular Sciences [Leuven], Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Défaillance Cardiovasculaire Aiguë et Chronique (DCAC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Centre d'investigation clinique plurithématique Pierre Drouin [Nancy] (CIC-P), Centre d'investigation clinique [Nancy] (CIC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Cardiovascular and Renal Clinical Trialists [Vandoeuvre-les-Nancy] (INI-CRCT), Institut Lorrain du Coeur et des Vaisseaux Louis Mathieu [Nancy], French-Clinical Research Infrastructure Network - F-CRIN [Paris] (Cardiovascular & Renal Clinical Trialists - CRCT ), IRCCS - Istituto di Ricerche Farmacologiche 'Mario Negri' [Milan, Italy], Lazio Regional Health Service [Rome], Imperial College London, Institute of Cardiovascular and Medical Sciences [Glasgow], University of Glasgow, Stony Brook University [SUNY] (SBU), State University of New York (SUNY), University of Hull [United Kingdom], National Institute for Health Research, Pinet, Florence, Faculté de Médecine [Nancy], Université de Lorraine (UL), Heart 'OMics' in AGEing (HOMAGE) investigators: Florence Pinet, Anne Pizard, Philippe Rouet, Joost Leenders, Javier Diez, Augustine Odili, Fang-Fei Wei, Anne Newman, Lampros Papadimitrious, Marina Davoli, Gian Francesco Mureddu, Ian Ford, Wouter Jukema, David J Stott, Neil Poulter.
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Male
Aging
Time Factors
Cardiac & Cardiovascular Systems
heart failure
Blood Pressure
BLOOD-PRESSURE
Comorbidity
030204 cardiovascular system & hematology
Coronary artery disease
risk prediction
0302 clinical medicine
Heart Rate
Risk Factors
030212 general & internal medicine
Prospective cohort study
POPULATION
Aged
80 and over
Systematic Review and Meta‐Analysis
[SDV.MHEP] Life Sciences [q-bio]/Human health and pathology
Incidence
Age Factors
Middle Aged
RANDOMIZED CONTROLLED-TRIAL
Prognosis
3. Good health
Hospitalization
risk factor
Area Under Curve
Cardiology
Female
HEALTH
Cardiology and Cardiovascular Medicine
Risk assessment
Life Sciences & Biomedicine
Adult
medicine.medical_specialty
BODY-COMPOSITION
ATHEROSCLEROSIS RISK
Risk Assessment
CARDIAC OUTCOMES TRIAL
Decision Support Techniques
EJECTION FRACTION
03 medical and health sciences
[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system
Predictive Value of Tests
Internal medicine
medicine
Humans
Risk factor
OLDER-ADULTS
Geriatric Assessment
Life Style
Aged
Proportional Hazards Models
Chi-Square Distribution
Science & Technology
Receiver operating characteristic
Proportional hazards model
business.industry
medicine.disease
meta-analysis
Blood pressure
ROC Curve
PREDICTION MODELS
meta‐analysis
Heart failure
Multivariate Analysis
Linear Models
Cardiovascular System & Cardiology
business
[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Biomarkers
Zdroj: Journal of the American Heart Association
Journal of the American Heart Association, Wiley-Blackwell, 2017, 6 (5), pp.e005231. ⟨10.1161/JAHA.116.005231⟩
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
ISSN: 2047-9980
DOI: 10.1161/JAHA.116.005231⟩
Popis: 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 Three studies with elderly persons (Health Aging and Body Composition [Health ABC], Valutazione della PREvalenza di DIsfunzione Cardiaca asinTOmatica e di scompenso cardiaco [PREDICTOR], and Prospective Study of Pravastatin in the Elderly at Risk [PROSPER]) were included to develop the HF risk function, while a fourth study (Anglo‐Scandinavian Cardiac Outcomes Trial [ASCOT]) was used as a validation cohort. Time‐to‐event analysis was conducted using the Cox proportional hazard model. Incident HF was defined as HF hospitalization. The Cox regression model was evaluated for its discriminatory performance (area under the receiver operating characteristic curve) and calibration (Grønnesby‐Borgan χ 2 statistic). During a follow‐up of 3.5 years, 470 of 10 236 elderly persons (mean age, 74.5 years; 51.3% women) developed HF . Higher age, BMI, systolic blood pressure, heart rate, serum creatinine, smoking, diabetes mellitus, history of coronary artery disease, and use of antihypertensive medication were associated with increased HF risk. The area under the receiver operating characteristic curve of the model was 0.71, with a good calibration (χ 2 7.9, P =0.54). A web‐based calculator was developed to allow easy calculations of the HF risk. Conclusions Simple measurements allow reliable estimation of the short‐term HF risk in populations and patients. The risk model may aid in risk stratification and future HF prevention strategies.
Databáze: OpenAIRE
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