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Heterogeneity of treatment and outcomes among Asians with coronary artery disease in the United States.

Description

Manjunath L, Chung S, Li J, Shah H, Palaniappan L, Yong CM., J Am Heart Assoc. e014362. doi: 10.1161/JAHA.119.014362. [Epub ahead of print], 2020 May 11

Investigators

Jiang Li, Ph.D., MPH, Assistant Scientist

Abstract

Background: Prior data demonstrate significant heterogeneity regarding coronary artery disease risk factors and outcomes among Asians in the United States, but no studies have yet examined coronary artery disease treatment patterns or outcomes among disaggregated Asian American subgroups.

Methods and Results: From a total of 772 882 patients with known race/ethnicity and sex who received care from a mixed-payer healthcare organization in Northern California between 2006 and 2015, a retrospective analysis was conducted on 6667 adults with coronary artery disease. Logistic regression was used to examine medical and procedural therapies and outcomes by race/ethnicity, with adjustment for age, sex, income, and baseline comorbidities. Compared with non-Hispanic whites, Chinese were more likely to undergo stenting (50.9% versus 60.8%, odds ratio [OR] 1.39 [95% CI, 1.04-1.87], p=0.005), whereas Filipinos were more likely to receive bypass surgery (6.9% versus 20.5%, OR 2.65 [95% CI, 1.75-4.01], P<0.0001). After stenting, Chinese, Filipinos, and Japanese were more likely than non-Hispanic whites to be prescribed clopidogrel (86.2%, 83.0%, and 91.4% versus 74.5%, ORs 1.86 [95% CI, 1.13-3.04], 1.86 [95% CI, 1.01-3.44], and 4.37 [95% CI, 1.02-18.67], respectively, P<0.0001). Lastly, Chinese and Asian Indians were more likely than non-Hispanic whites to be diagnosed with a myocardial infarction within 1 year postangiography (15.6% and 17.4% versus 11.2%, ORs 1.49 [95% CI, 1.02-2.19] and 1.68 [95% CI, 1.21-2.34], respectively, P<0.0001).

Conclusions: Disaggregation of Asian Americans with coronary artery disease into individual racial/ethnic subgroups reveals significant variability in treatment patterns and outcomes. Further investigation into these differences may expose important opportunities to mitigate disparities and improve quality of care in this diverse population. 

Pubmed Abstract

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Associated Topics

  • Cardiovascular Diseases
  • Health Disparities
  • Medical Informatics

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