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}
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.