Hostname: page-component-8448b6f56d-sxzjt Total loading time: 0 Render date: 2024-04-20T03:53:52.250Z Has data issue: false hasContentIssue false

2039

Modifiable risk factors Versus age on developing high predicted cardiovascular disease risk in African Americans

Published online by Cambridge University Press:  10 May 2018

Adam Bress
Affiliation:
Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
Lisandro D. Colantonio
Affiliation:
Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
John N. Booth
Affiliation:
Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
Tanya M. Spruill
Affiliation:
Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
Joseph Ravenell
Affiliation:
Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
Mark Butler
Affiliation:
Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
Amanda J. Shallcross
Affiliation:
Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
Samantha R. Seals
Affiliation:
Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
Kristi Reynolds
Affiliation:
Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
Gbenga Ogedegbe
Affiliation:
Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
Daichi Shimbo
Affiliation:
Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
Paul Muntner
Affiliation:
Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

OBJECTIVES/SPECIFIC AIMS: Clinical guidelines recommend using predicted atherosclerotic cardiovascular disease (ASCVD) risk to inform treatment decisions. The objective was to compare the contribution of changes in modifiable risk factors Versus aging to the development of high 10-year predicted ASCVD risk. METHODS/STUDY POPULATION: Prospective follow-up of the Jackson Heart Study, an exclusively African-American cohort, at visit 1 (2000–2004) and visit 3 (2009–2012). Analyses included 1115 African-American participants without a high 10-year predicted ASCVD risk (<7.5%), hypertension, diabetes, or ASCVD at visit 1. We used the Pooled Cohort equations to calculate the incidence of high (≥7.5%) 10-year predicted ASCVD risk at visit 3. We recalculated the percentage with a high 10-year predicted ASCVD risk at visit 3 assuming each risk factor [age, systolic blood pressure (SBP), antihypertensive medication use, diabetes, smoking, total and high-density lipoprotein cholesterol], one at a time, did not change from visit 1. RESULTS/ANTICIPATED RESULTS: The mean age at visit 1 was 45.2±9.5 years. Overall, 30.9% (95% CI 28.3%–33.4%) of participants developed high 10-year predicted ASCVD risk. Aging accounted for 59.7% (95% CI 54.2%–65.1%) of the development of high 10-year predicted ASCVD risk compared with 32.8% (95% CI 27.0%–38.2%) for increases in SBP or antihypertensive medication initiation and 12.8% (95% CI 9.6%–16.5%) for incident diabetes. Among participants <50 years, the contribution of increases in SBP or antihypertensive medication initiation was similar to aging. DISCUSSION/SIGNIFICANCE OF IMPACT: Increases in SBP and antihypertensive medication initiation are major contributors to the development of high 10-year predicted ASCVD risk in African Americans, particularly among younger adults.

Type
Clinical Epidemiology
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Association for Clinical and Translational Science 2018