Heart failure risk prediction in the Multi-Ethnic Study of Atherosclerosis

Harjit Chahal, David A. Bluemke, Colin O. Wu, Robyn McClelland, Kiang Liu, Steven J. Shea, Gregory Burke, Pelbreton Balfour, David Herrington, Pei Bei Shi, Wendy Post, Jean Olson, Karol E. Watson, Aaron R. Folsom, Joao A.C. Lima

Research output: Contribution to journalArticle

Abstract

Objective: Heart failure (HF) is a leading cause of mortality especially in older populations. Early detection of high-risk individuals is imperative for primary prevention. The purpose of this study was to develop a HF risk model from a population without clinical cardiac disease.

Methods: The Multi-Ethnic Study of Atherosclerosis is a multicentre observational cohort study following 6814 subjects (mean age 62±10 years; 47% men) who were free of clinical cardiovascular disease at baseline. Median follow-up was 4.7 years. HF events developed in 176 participants. Cox proportional hazards models and regression coefficients were used to determine independent risk factors and generate a 5-year risk score for incident HF. Bootstrapping with bias correction was used for internal validation.

Results: Independent predictors for HF (HR, p value) were age (1.30 (1.10 to 1.50) per 10 years), male gender (2.27 (1.53 to 3.36)), current smoking (1.97 (1.15 to 3.36)), body mass index (1.40 (1.10 to 1.80) per 5 kg/m2), systolic blood pressure (1.10 (1.00 to 1.10) per 10 mm Hg), heart rate (1.30) (1.10 to 1.40) per 10 bpm), diabetes (2.27 (1.48 to 3.47)), N-terminal pro-B-type natriuretic peptide (NT proBNP) (2.48 (2.16 to 2.84) per unit log increment) and left ventricular mass index (1.40 (1.30 to 1.40) per 10 g/m2). A parsimonious model based on age, gender, body mass index, smoking status, systolic blood pressure, heart rate, diabetes and NT proBNP natriuretic peptide predicted incident HF risk with a c-statistic of 0.87.

Conclusions: A clinical algorithm based on risk factors readily available in the primary care setting can used to identify individuals with high likelihood of developing HF without pre-existing cardiac disease.

Original languageEnglish (US)
Pages (from-to)58-64
Number of pages7
JournalHeart
Volume101
Issue number1
DOIs
StatePublished - Jan 1 2015

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

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    Chahal, H., Bluemke, D. A., Wu, C. O., McClelland, R., Liu, K., Shea, S. J., Burke, G., Balfour, P., Herrington, D., Shi, P. B., Post, W., Olson, J., Watson, K. E., Folsom, A. R., & Lima, J. A. C. (2015). Heart failure risk prediction in the Multi-Ethnic Study of Atherosclerosis. Heart, 101(1), 58-64. https://doi.org/10.1136/heartjnl-2014-305697