钙扫描的地区和社会经济差异。

Vincent Sachs, Christopher Scoma, Kashif Shaikh, Matthew Budoff, Shone Almeida
{"title":"钙扫描的地区和社会经济差异。","authors":"Vincent Sachs, Christopher Scoma, Kashif Shaikh, Matthew Budoff, Shone Almeida","doi":"10.1016/j.jcct.2024.08.002","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Disparities in cardiovascular care are well recognized, with socioeconomic status being one of the strongest determinants of cardiovascular disease outcomes. This study evaluates whether these disparities translate to coronary artery calcium (CAC) scan utilization. Specifically, we aim to describe regional variation and socioeconomic variables that impact CAC utilization across the United States relative to the prevalence of coronary artery disease (CAD) and related comorbidities.</p><p><strong>Methods: </strong>This cross-sectional study integrates county-level CAC utilization with CAD prevalence and publicly available socioeconomic variables including self-identified ethnicity, education, and adjusted gross income. CAC utilization rates were sourced from 2022 hospital commercial claims, outpatient Medicare service claims, and independent imaging center claims. Heart disease prevalence and socioeconomic variables were extracted from the Centers for Disease Control and Prevention and the National Center for Chronic Disease Prevention and Health Promotion. Adjusted gross income per capita was gathered from Internal Revenue Service data.</p><p><strong>Results: </strong>CAC utilization was evaluated across 808 counties within the United States, representing 600,379 claims. Median utilization was 1.62 scans per 1,000 persons with a range of 0.03 to 104.39. The West had the highest CAC scan utilization rate (median 3.09 scans per 1,000 persons) with a CAD prevalence of 548 per 100,000 persons. In contrast, the Midwest had the lowest utilization rate (median 1.24 scans per 1,000 persons) with a CAD prevalence of 635 per 100,000 persons. Socioeconomic factors that favor higher CAC utilization include a larger density of White/Caucasian ethnicity (p = 0.007) and a higher adjusted gross income per capita (p = 0.006). Counties with the lowest rates of CAC utilization have a higher population of African Americans (p <0.001) and a higher proportion of females (p <0.001).</p><p><strong>Conclusion: </strong>This analysis highlights regional and socioeconomic differences in CAC utilization in the United States. Under-represented ethnicities such as African Americans have among the lowest rates of CAC utilization despite having a higher burden and mortality from heart disease. Discordance between CAC utilization, heart disease prevalence and socioeconomic status reveals a need for targeted interventions and policies aimed at mitigating structural barriers that perpetuate health inequities.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Regional and socioeconomic disparities in calcium scans.\",\"authors\":\"Vincent Sachs, Christopher Scoma, Kashif Shaikh, Matthew Budoff, Shone Almeida\",\"doi\":\"10.1016/j.jcct.2024.08.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Disparities in cardiovascular care are well recognized, with socioeconomic status being one of the strongest determinants of cardiovascular disease outcomes. This study evaluates whether these disparities translate to coronary artery calcium (CAC) scan utilization. Specifically, we aim to describe regional variation and socioeconomic variables that impact CAC utilization across the United States relative to the prevalence of coronary artery disease (CAD) and related comorbidities.</p><p><strong>Methods: </strong>This cross-sectional study integrates county-level CAC utilization with CAD prevalence and publicly available socioeconomic variables including self-identified ethnicity, education, and adjusted gross income. CAC utilization rates were sourced from 2022 hospital commercial claims, outpatient Medicare service claims, and independent imaging center claims. Heart disease prevalence and socioeconomic variables were extracted from the Centers for Disease Control and Prevention and the National Center for Chronic Disease Prevention and Health Promotion. Adjusted gross income per capita was gathered from Internal Revenue Service data.</p><p><strong>Results: </strong>CAC utilization was evaluated across 808 counties within the United States, representing 600,379 claims. Median utilization was 1.62 scans per 1,000 persons with a range of 0.03 to 104.39. The West had the highest CAC scan utilization rate (median 3.09 scans per 1,000 persons) with a CAD prevalence of 548 per 100,000 persons. In contrast, the Midwest had the lowest utilization rate (median 1.24 scans per 1,000 persons) with a CAD prevalence of 635 per 100,000 persons. Socioeconomic factors that favor higher CAC utilization include a larger density of White/Caucasian ethnicity (p = 0.007) and a higher adjusted gross income per capita (p = 0.006). Counties with the lowest rates of CAC utilization have a higher population of African Americans (p <0.001) and a higher proportion of females (p <0.001).</p><p><strong>Conclusion: </strong>This analysis highlights regional and socioeconomic differences in CAC utilization in the United States. Under-represented ethnicities such as African Americans have among the lowest rates of CAC utilization despite having a higher burden and mortality from heart disease. Discordance between CAC utilization, heart disease prevalence and socioeconomic status reveals a need for targeted interventions and policies aimed at mitigating structural barriers that perpetuate health inequities.</p>\",\"PeriodicalId\":94071,\"journal\":{\"name\":\"Journal of cardiovascular computed tomography\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of cardiovascular computed tomography\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jcct.2024.08.002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of cardiovascular computed tomography","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.jcct.2024.08.002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

简介心血管疾病治疗中的差异已得到公认,而社会经济地位是心血管疾病结果的最重要决定因素之一。本研究评估了这些差异是否会转化为冠状动脉钙(CAC)扫描的使用率。具体来说,我们的目的是根据冠状动脉疾病(CAD)和相关合并症的发病率,描述影响全美冠状动脉钙化扫描利用率的地区差异和社会经济变量:这项横断面研究将县级 CAC 利用率与 CAD 患病率和公开可用的社会经济变量(包括自我认同的种族、教育程度和调整后的总收入)相结合。CAC使用率来源于2022年医院商业索赔、门诊医疗保险服务索赔和独立影像中心索赔。心脏病发病率和社会经济变量来自美国疾病控制与预防中心和国家慢性病预防与健康促进中心。调整后的人均总收入来自美国国税局的数据:对美国 808 个县的 CAC 使用情况进行了评估,共收到 600,379 份申请。使用率中位数为每千人 1.62 次扫描,范围在 0.03 至 104.39 次之间。西部地区的 CAC 扫描使用率最高(中位数为每千人 3.09 次扫描),CAD 患病率为每 10 万人 548 例。相比之下,中西部地区的使用率最低(中位数为每千人 1.24 次扫描),CAD 患病率为每 10 万人 635 例。CAC使用率较高的社会经济因素包括白人/高加索人种密度较大(p = 0.007)和调整后人均总收入较高(p = 0.006)。CAC 使用率最低的县非裔美国人口较多(p = 0.006):这项分析凸显了美国在 CAC 使用方面的地区和社会经济差异。尽管非裔美国人的心脏病负担和死亡率较高,但其使用 CAC 的比例却最低。CAC使用率、心脏病发病率和社会经济地位之间的不一致表明,需要采取有针对性的干预措施和政策,以减少导致健康不平等现象长期存在的结构性障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regional and socioeconomic disparities in calcium scans.

Introduction: Disparities in cardiovascular care are well recognized, with socioeconomic status being one of the strongest determinants of cardiovascular disease outcomes. This study evaluates whether these disparities translate to coronary artery calcium (CAC) scan utilization. Specifically, we aim to describe regional variation and socioeconomic variables that impact CAC utilization across the United States relative to the prevalence of coronary artery disease (CAD) and related comorbidities.

Methods: This cross-sectional study integrates county-level CAC utilization with CAD prevalence and publicly available socioeconomic variables including self-identified ethnicity, education, and adjusted gross income. CAC utilization rates were sourced from 2022 hospital commercial claims, outpatient Medicare service claims, and independent imaging center claims. Heart disease prevalence and socioeconomic variables were extracted from the Centers for Disease Control and Prevention and the National Center for Chronic Disease Prevention and Health Promotion. Adjusted gross income per capita was gathered from Internal Revenue Service data.

Results: CAC utilization was evaluated across 808 counties within the United States, representing 600,379 claims. Median utilization was 1.62 scans per 1,000 persons with a range of 0.03 to 104.39. The West had the highest CAC scan utilization rate (median 3.09 scans per 1,000 persons) with a CAD prevalence of 548 per 100,000 persons. In contrast, the Midwest had the lowest utilization rate (median 1.24 scans per 1,000 persons) with a CAD prevalence of 635 per 100,000 persons. Socioeconomic factors that favor higher CAC utilization include a larger density of White/Caucasian ethnicity (p = 0.007) and a higher adjusted gross income per capita (p = 0.006). Counties with the lowest rates of CAC utilization have a higher population of African Americans (p <0.001) and a higher proportion of females (p <0.001).

Conclusion: This analysis highlights regional and socioeconomic differences in CAC utilization in the United States. Under-represented ethnicities such as African Americans have among the lowest rates of CAC utilization despite having a higher burden and mortality from heart disease. Discordance between CAC utilization, heart disease prevalence and socioeconomic status reveals a need for targeted interventions and policies aimed at mitigating structural barriers that perpetuate health inequities.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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:481959085
Book学术官方微信