Peripheral arterial disease, prevalence and cumulative risk factor profile analysis. (29th August 2020)

• Record Type: Journal Article
• Authors: Eraso, Luis H; Fukaya, Eri; Mohler, Emile R; Xie, Dawei; Sha, Daohang; Berger, Jeffrey S
• Is Part Of: European journal of preventive cardiology. Volume 21:Number 6(2014)
• Page Start: 704
• Page End: 711
• Publication Date: 2020-08-29
• Subjects: Peripheral arterial disease -- risk assessment -- traditional cardiovascular risk factors -- NHANES; Cardiovascular system -- Diseases -- Prevention -- Periodicals; Cardiac patients -- Rehabilitation -- Periodicals; 616.12
• DOI: 10.1177/2047487312452968
• Languages: English
• ISSNs: 2047-4873

Abstract

Abstract: Background: The primary aim of the present study was to determine the cumulative effect of a set of peripheral artery disease (PAD) risk factors among age, gender and race/ethnicity groups in the United States. Methods: We examined data from a nationally representative sample of the US population (National Health and Nutrition Examination Survey [NHANES], 1999–2004). A total of 7058 subjects 40 years or older that completed the interview, medical examination and had ankle–brachial index (ABI) measurements were included in this study. Results: The age- and sex-standardized prevalence of PAD was 4.6 % (standard error [SE] 0.3%).The highest prevalence of PAD was observed among elderly, non-Hispanic Blacks and women. In a multivariable age-, gender- and race/ethnicity-adjusted model hypertension, diabetes, chronic kidney disease, and smoking were retained as PAD risk factors ( p ≤ 0.05 for each). The odds of PAD increased with each additional risk factor present from a non-significant 1.5-fold increase (O.R 1.5, 95% confidence interval [CI] 0.9–2.6) in the presence of one risk factor, to more than ten-fold (OR 10.2, 95% CI 6.4–16.3) in the presence of three or more risk factors. In stratified analysis, non-Hispanic Blacks (OR 14.7, 95% CI 2.1–104.1) and women (OR 18.6, 95% CI 7.1–48.7) were particularly sensitive to this cumulative effect. Conclusion: In a large nationally representative sample, an aggregate set of risk factors that included diabetes mellitus, chronic kidney disease, hypertension and smoking significantly increase the likelihood of prevalent PAD. A cumulative risk factor analysis highlights important susceptibility differences among different population groups and provides additional evidence to redefine screening strategies in PAD.