Associations Between Measures of Structural Racism and Acute Ischemic Stroke Outcomes in the United States.

IF 8.9 1区 医学 Q1 CLINICAL NEUROLOGY
Stroke Pub Date : 2025-10-01 Epub Date: 2025-08-07 DOI:10.1161/STROKEAHA.124.048737
Sai P Polineni, Praneet Polineni, Daniel Santos, David Daniel, Mandip S Dhamoon
{"title":"Associations Between Measures of Structural Racism and Acute Ischemic Stroke Outcomes in the United States.","authors":"Sai P Polineni, Praneet Polineni, Daniel Santos, David Daniel, Mandip S Dhamoon","doi":"10.1161/STROKEAHA.124.048737","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Structural inequity, including structural racism, is linked to stroke measures. Prior work showed that ecosocial models quantifying constituent domains of structural racism are associated with acute ischemic stroke incidence. It remains unclear if such models can further account for the not-yet-fully explained racial disparities in stroke outcomes.</p><p><strong>Methods: </strong>We performed a national, population-based analysis of 71 078 619 Medicare beneficiaries aged ≥65 years enrolled in Medicare from January 1, 2016 to December 31, 2019 of whom 844 406 had a primary diagnosis of acute ischemic stroke. We estimated the odds ratio and 95% CIs of 3 outcomes (inpatient mortality, 30-day mortality, and discharge home) using multilevel logistic models, with data clustered at the county level. County-level data from the US Census Bureau and Home Mortgage Disclosure Act were used to calculate 8 measures of structural racism. These were tested separately and as a summed, normally distributed composite structural racism score for associations with the outcomes, adjusting for sex, age, urban versus other location, and Black versus White race.</p><p><strong>Results: </strong>For each SD increase in the composite structural racism score, there was a 16% increase in poststroke inpatient mortality for the total population (odds ratio, 1.160 [95% CI, 1.10-1.215]) without a significant interaction with race (<i>P</i>=0.624). Both 30-day all-cause mortality (<i>P</i>=0.035) and odds of discharge home (<i>P</i>=0.023) significantly interacted with race. For each SD increase in the composite score, Black individuals had a 4.5% increased odds of 30-day mortality and a 5.8% decreased odds of being discharged home, whereas White patients had a 6.5% increase in 30-day mortality and a 3.5% decrease in odds of discharge home.</p><p><strong>Conclusions: </strong>Increasing levels of structural racism, as calculated using validated quantitative measures of an ecosocial model of structural racism, are correlated with increasing poststroke mortality and decreased odds of discharge home, regardless of race.</p>","PeriodicalId":21989,"journal":{"name":"Stroke","volume":" ","pages":"2957-2965"},"PeriodicalIF":8.9000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stroke","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1161/STROKEAHA.124.048737","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/7 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Structural inequity, including structural racism, is linked to stroke measures. Prior work showed that ecosocial models quantifying constituent domains of structural racism are associated with acute ischemic stroke incidence. It remains unclear if such models can further account for the not-yet-fully explained racial disparities in stroke outcomes.

Methods: We performed a national, population-based analysis of 71 078 619 Medicare beneficiaries aged ≥65 years enrolled in Medicare from January 1, 2016 to December 31, 2019 of whom 844 406 had a primary diagnosis of acute ischemic stroke. We estimated the odds ratio and 95% CIs of 3 outcomes (inpatient mortality, 30-day mortality, and discharge home) using multilevel logistic models, with data clustered at the county level. County-level data from the US Census Bureau and Home Mortgage Disclosure Act were used to calculate 8 measures of structural racism. These were tested separately and as a summed, normally distributed composite structural racism score for associations with the outcomes, adjusting for sex, age, urban versus other location, and Black versus White race.

Results: For each SD increase in the composite structural racism score, there was a 16% increase in poststroke inpatient mortality for the total population (odds ratio, 1.160 [95% CI, 1.10-1.215]) without a significant interaction with race (P=0.624). Both 30-day all-cause mortality (P=0.035) and odds of discharge home (P=0.023) significantly interacted with race. For each SD increase in the composite score, Black individuals had a 4.5% increased odds of 30-day mortality and a 5.8% decreased odds of being discharged home, whereas White patients had a 6.5% increase in 30-day mortality and a 3.5% decrease in odds of discharge home.

Conclusions: Increasing levels of structural racism, as calculated using validated quantitative measures of an ecosocial model of structural racism, are correlated with increasing poststroke mortality and decreased odds of discharge home, regardless of race.

在美国,结构性种族主义测量与急性缺血性中风结果之间的关联:以黑人为重点。
背景:结构性不平等,包括结构性种族主义,与中风措施有关。先前的研究表明,量化结构性种族主义组成域的生态社会模型与急性缺血性卒中发生率有关。目前尚不清楚这些模型是否能进一步解释尚未完全解释的中风结果的种族差异。方法:我们对2016年1月1日至2019年12月31日期间参加医疗保险的71 078 619名年龄≥65岁的医疗保险受益人进行了一项基于全国人群的分析,其中844 406人初步诊断为急性缺血性卒中。我们使用多级logistic模型估计了3个结局(住院死亡率、30天死亡率和出院)的比值比和95% ci,数据聚集在县一级。来自美国人口普查局和《住房抵押贷款披露法》的县级数据被用来计算结构性种族主义的8项指标。这些测试分别进行测试,并作为一个汇总的、正态分布的复合结构种族主义分数与结果的关联,调整性别、年龄、城市与其他地区、黑人与白人种族。结果:复合结构种族主义评分每增加一个SD,卒中后住院患者死亡率就会增加16%(优势比为1.160 [95% CI, 1.10-1.215]),但与种族没有显著的相互作用(P=0.624)。30天全因死亡率(P=0.035)和出院回家的几率(P=0.023)与种族显著相互作用。综合评分每增加一个SD,黑人患者30天死亡率增加4.5%,出院率降低5.8%,而白人患者30天死亡率增加6.5%,出院率降低3.5%。结论:结构性种族主义水平的增加,通过结构性种族主义生态社会模型的有效定量测量计算得出,与卒中后死亡率的增加和出院率的降低相关,而与种族无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Stroke
Stroke 医学-临床神经学
CiteScore
13.40
自引率
6.00%
发文量
2021
审稿时长
3 months
期刊介绍: Stroke is a monthly publication that collates reports of clinical and basic investigation of any aspect of the cerebral circulation and its diseases. The publication covers a wide range of disciplines including anesthesiology, critical care medicine, epidemiology, internal medicine, neurology, neuro-ophthalmology, neuropathology, neuropsychology, neurosurgery, nuclear medicine, nursing, radiology, rehabilitation, speech pathology, vascular physiology, and vascular surgery. The audience of Stroke includes neurologists, basic scientists, cardiologists, vascular surgeons, internists, interventionalists, neurosurgeons, nurses, and physiatrists. Stroke is indexed in Biological Abstracts, BIOSIS, CAB Abstracts, Chemical Abstracts, CINAHL, Current Contents, Embase, MEDLINE, and Science Citation Index Expanded.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信