Key result
Standard risk models derived from homogenous cohorts underperform and lose cost-efficiency in diverse populations.
Why the study?
Guidelines for CAD screening and diagnosis were largely derived from homogeneous populations prior to newer technologies, whereas today's diverse multi-ethnic populations may have characteristics and risks that do not match that evidence.
Highlights the critical need to individualize coronary artery disease risk stratification frameworks for diverse multi-ethnic populations to improve diagnostic accuracy and healthcare cost-efficiency.
Answers are grounded in this paper and cite their sources.
May reduce accuracy in multi-ethnic settings; leaves open whether ethnicity-adjusted models improve yield.
Coronary artery disease (CAD) screening and diagnosis are core cardiac specialty services. From symptoms, autopsy correlations supported reductions in coronary blood flow and dynamic epicardial and microcirculatory coronaries artery disease as etiologies. While angina remains a clinical diagnosis, most cases require correlation with a diagnostic modality. At the onset of the evidence building process much research, now factored into guidelines were conducted among population and demographics that were homogenous and often prior to newer technologies being available. Today we see a more diverse multi-ethnic population whose characteristics and risks may not consistently match the populations from which guideline evidence is derived. While it would seem very
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Iyngkaran et al. (2019) conducted a review in Coronary artery disease. Guideline-derived risk stratification was evaluated. Guideline-derived risk stratification models based on homogenous populations may lack diagnostic accuracy and cost-efficiency when applied to diverse, multi-ethnic clinical populations.
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