Addition of Social Determinants of Health to Coronary Heart Disease Risk Prediction: The Multi‐Ethnic Study of Atherosclerosis

Author:

Murphy Brittany Saldivar1ORCID,Nam Yunbi2ORCID,McClelland Robyn L.2ORCID,Acquah Isaac3ORCID,Cainzos‐Achirica Miguel4ORCID,Nasir Khurram5ORCID,Post Wendy S.6ORCID,Aldrich Melinda C.1ORCID,DeFilippis Andrew P.7ORCID

Affiliation:

1. Department of Medicine Vanderbilt University Medical Center Nashville TN USA

2. Department of Biostatistics University of Washington Seattle WA USA

3. Department of Medicine MedStar Union Memorial Hospital Baltimore MD USA

4. Department of Cardiology Parc de Salut Mar/IMIM Barcelona Spain

5. Division of Cardiovascular Prevention and Wellness, Department of Cardiology Houston Methodist DeBakey Heart & Vascular Center Houston TX USA

6. Division of Cardiology, Department of Medicine Johns Hopkins University Baltimore MD USA

7. Division of Cardiovascular Medicine Vanderbilt University Medical Center Nashville TN USA

Abstract

Background Social determinants of health (SDoH) are associated with cardiovascular risk factors and outcomes; however, they are absent from risk prediction models. We aimed to assess if the addition of SDoH improves the predictive ability of the MESA (Multi‐Ethnic Study of Atherosclerosis) Risk Score. Methods and Results This was a community‐based prospective population cohort study that enrolled 6286 men and women, ages 45–84 years, who were free of clinical coronary heart disease (CHD) at baseline. Data from 10‐year follow‐up were examined for CHD events, defined as myocardial infarction, fatal CHD, resuscitated cardiac arrest, and revascularization in cases of anginal symptoms. Participants included 53% women with average age of 62 years. When adjusting for traditional cardiovascular risk factors, SDoH, and coronary artery calcium, economic strain, specifically low family income, was associated with a greater risk of CHD events (hazard ratio [HR], 1.42 [95% CI, 1.17–1.71], P value<0.001). Area under the curve of risk prediction with SDoH was 0.822, compared with 0.816 without SDoH. The calibration slope was 0.860 with SDoH and 0.878 in the original model. Conclusions Significant associations were found between economic/financial SDoH and CHD risk factors and outcomes. Incorporation of SDoH into the MESA Risk Score did not improve predictive ability of the model. Our findings do not support the incorporation of SDoH into current risk prediction algorithms.

Publisher

Ovid Technologies (Wolters Kluwer Health)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3