Implications of Social Disadvantage Score in Cardiovascular Outcomes and Risk Assessment: Findings From the Multi-Ethnic Study of Atherosclerosis.

IF 6.9 2区 医学
Aziz Hammoud, Haiying Chen, Alexander Ivanov, Joseph Yeboah, Khurram Nasir, Miguel Cainzos-Achirica, Alain Bertoni, Safi U Khan, Michael Blaha, David Herrington, Michael D Shapiro
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引用次数: 0

Abstract

Background: Social determinants of health contribute to disparate cardiovascular outcomes, yet they have not been operationalized into the current paradigm of cardiovascular risk assessment.

Methods: Data from the Multi-Ethnic Study of Atherosclerosis, which includes participants from 6 US field centers, were used to create an index of baseline Social Disadvantage Score (SDS) to explore its association with incident atherosclerotic cardiovascular disease (ASCVD) and all-cause mortality and impact on ASCVD risk prediction. SDS, which ranges from 0 to 4, was calculated by tallying the following social factors: (1) household income less than the federal poverty level; (2) educational attainment less than a high school diploma; (3) single-living status; and (4) experience of lifetime discrimination. Cox models were used to examine the association between SDS and each outcome with adjustment for traditional cardiovascular risk factors. Changes in the discrimination and reclassification of ASCVD risk by incorporating SDS into the pooled cohort equations were examined.

Results: A total of 6434 participants (mean age, 61.9±10.2 years; female 52.8%; non-white 60.9%) had available SDS 1733 (26.9%) with SDS 0; 2614 (40.6%) with SDS 1; 1515 (23.5%) with SDS 2; and 572 (8.9%) with SDS ≥3. In total, 775 incident ASCVD events and 1573 deaths were observed over a median follow-up of 17.0 years. Increasing SDS was significantly associated with incident ASCVD and all-cause mortality after adjusting for traditional risk factors (ASCVD: per unit increase in SDS hazard ratio, 1.15 [95% CI, 1.07-1.24]; mortality: per unit increase in SDS hazard ratio, 1.13 [95% CI, 1.08-1.19]). Adding SDS to pooled cohort equations components in a Cox model for 10-year ASCVD risk prediction did not significantly improve discrimination (P=0.208) or reclassification (P=0.112).

Conclusions: Although SDS is independently associated with incident ASCVD and all-cause mortality, it does not improve 10-year ASCVD risk prediction beyond pooled cohort equations.

社会弱势评分在心血管结局和风险评估中的意义:来自动脉粥样硬化多民族研究的发现。
背景:健康的社会决定因素会导致不同的心血管结果,但它们尚未被纳入当前的心血管风险评估范式。方法:来自动脉粥样硬化多民族研究的数据,包括来自美国6个实地中心的参与者,用于创建基线社会劣势评分(SDS)指数,以探讨其与动脉粥样硬化性心血管疾病(ASCVD)和全因死亡率的关系,以及对ASCVD风险预测的影响。SDS从0到4不等,是通过统计以下社会因素计算得出的:(1)家庭收入低于联邦贫困水平;(2) 教育程度低于高中文凭;(3) 单身生活状态;以及(4)终生遭受歧视的经历。Cox模型用于检验SDS与每种结果之间的相关性,并对传统心血管风险因素进行调整。通过将SDS纳入合并队列方程,研究了ASCVD风险的辨别和重新分类的变化。结果:共有6434名参与者(平均年龄61.9±10.2岁;女性52.8%;非白人60.9%)具有可用的SDS 1733(26.9%)和SDS 0;SDS 1组2614例(40.6%);1515(23.5%);SDS≥3者572例(8.9%)。在17.0年的中位随访中,总共观察到775例ASCVD事件和1573例死亡。在对传统风险因素进行调整后,SDS增加与ASCVD事件和全因死亡率显著相关(ASCVD:SDS危险比每单位增加1.15[95%CI,1.07-1.24];死亡率:SDS危险率每单位增加1.13[95%CI,1.08-1.19])显著提高了辨别能力(P=0.208)或重新分类能力(P=0.112)。结论:尽管SDS与ASCVD事件和全因死亡率独立相关,但它并不能改善合并队列方程之外的10年ASCVD风险预测。
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来源期刊
Circulation. Cardiovascular Quality and Outcomes
Circulation. Cardiovascular Quality and Outcomes Medicine-Cardiology and Cardiovascular Medicine
CiteScore
9.80
自引率
2.90%
发文量
357
期刊介绍: Circulation: Cardiovascular Quality and Outcomes, an American Heart Association journal, publishes articles related to improving cardiovascular health and health care. Content includes original research, reviews, and case studies relevant to clinical decision-making and healthcare policy. The online-only journal is dedicated to furthering the mission of promoting safe, effective, efficient, equitable, timely, and patient-centered care. Through its articles and contributions, the journal equips you with the knowledge you need to improve clinical care and population health, and allows you to engage in scholarly activities of consequence to the health of the public. Circulation: Cardiovascular Quality and Outcomes considers the following types of articles: Original Research Articles, Data Reports, Methods Papers, Cardiovascular Perspectives, Care Innovations, Novel Statistical Methods, Policy Briefs, Data Visualizations, and Caregiver or Patient Viewpoints.
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