Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

medicine

Risk factors for heart failure in the elderly: A prospective community- based study

American Journal of Medicine, Volume 106, No. 6, Year 1999

PURPOSE: The risk factors for the development of heart failure are not clearly defined, particularly for older adults. We undertook the current investigation to examine the associations of traditional cardiovascular risk factors, comorbidity, and psychosocial factors with the risk of heart failure during 10 years of follow-up in a community-based elderly population. SUBJECTS AND METHODS: We evaluated 1,749 subjects, 65 years of age or older, free of heart failure, myocardial infarction, and angina at baseline, who were participating in the New Haven, Connecticut cohort of the Established Population for Epidemiologic Studies of the Elderly program. Cox proportional hazards regression models were used to determine risk ratios (RR) and 95% confidence intervals (CI). RESULTS: During 13,811 person-years of follow-up, 173 subjects developed incident heart failure, as confirmed by chart review. Five factors were independent predictors of heart failure: male sex (RR = 1.7; CI, 1.3 to 2.4), older age (RR = 1.9; CI, 1.3 to 2.7 for age 75 to 84 years, RR = 3.0; CI, 1.7 to 5.5 for age 85 years and older, compared with ≤74 years), diabetes (RR = 2.9; CI, 2.0 to 4.3), pulse pressure ≥70 mm Hg (RR = 2.3; CI, 1.3 to 4.3, compared with <50 mm Hg), and body mass index ≥28 kg/m2 (RR = 1.6; CI, 1.0 to 2.4, compared with <24 kg/m2). Myocardial infarction occurred during follow-up in 8% of the cohort and was also an important predictor of heart failure (RR = 21; CI, 15 to 31). CONCLUSIONS: Age and traditional cardiovascular risk factors are associated with the development of heart failure in the elderly. Preventive strategies should focus on the management of diabetes, blood pressure, and weight, in addition to the prevention and management of myocardial infarction.

Statistics
Citations: 224
Authors: 3
Affiliations: 5
Research Areas
Noncommunicable Diseases
Study Design
Cross Sectional Study
Cohort Study
Participants Gender
Male