Risk Factors for Incident Heart Failure in Age- and Sex-Specific Strata: A Population-Based Cohort Using Linked Electronic Health Records
Year: 2019
Type: article
Study design: Observational Study
Abstract: AIMS: Several risk factors for incident heart failure (HF) have been previously identified, however large electronic health records (EHR) datasets may provide the opportunity to examine the consistency of risk factors across different subgroups from the general population. METHODS AND RESULTS: We used linked EHR data from 2000 to 2010 as part of the UK-based CALIBER resource to select a cohort of 871 687 individuals 55 years or older and free of HF at baseline. The primary endpoint was the first record of HF from primary or secondary care. Cox proportional hazards analysis was used to estimate hazard ratios for associations between risk factors and incident HF, separately for men and women and by age category: 55-64, 65-74, and > 75 years. During 5.8 years of median follow-up, a total of 47 987 incident HF cases were recorded. Age, social deprivation, smoking, sedentary lifestyle, diabetes, atrial fibrillation, chronic obstructive pulmonary disease, body mass index, haemoglobin, total white blood cell count and creatinine were associated with HF. Smoking, atrial fibrillation and diabetes showed stronger associations with incident HF in women compared to men. CONCLUSION: We confirmed associations of several risk factors with HF in this large population-based cohort across age and sex subgroups. Mainly modifiable risk factors and comorbidities are strongly associated with incident HF, highlighting the importance of preventive strategies targeting such risk factors for HF.
DOI: 10.1002/ejhf.1350
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,300
Funders: National Institute for Social Care and Health Research, Wellcome Trust, Alan Turing Institute, European Federation of Pharmaceutical Industries and Associations, Cancer Research UK, National Institute for Health and Care Research, British Heart Foundation, European Commission, ZonMw, Innovative Medicines Initiative, Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council
Awards: G1175529158, G1877862647, Centre for Health service and Academic Partnership in Translational eHealth Research (CHAPTER), G2259971274, G3062920068, G3335867693, Big Data 4 Better Hearts - Sofia ref.: 116074, Identifying subtypes of Alzheimer's disease in Electronic Health Records, G434337789, G4457630332, G4547791843, Administrative Data Research Centre, England (ADRCE), G7502425381
OpenAlex ID: W2908594081
