Asian Invasive Risk Profile for Coronary Artery Disease: The AIR CAD Study
Presenter
Ramy Sedhom, M.D., Loma Linda University Medical Center, Loma Linda, CA
Ramy Sedhom, M.D., Loma Linda University Medical Center, Loma Linda, CA, Sehrish Memon, M.D., Einstein Medical Center Philadelphia, Philadephia, PA, Peter Abdelmaseeh, M.D., Einstein Healthcare Network, Elkins Park, PA, Sean F. Janzer, M.D., FSCAI, WellSpan Cardiology - York, Newtown Square, PA and Jon C. George, M.D., FSCAI, Pennsylvania Hospital, Philadelphia, PA
Background
To investigate and compare the metabolic risk profile of South Asian (SA), Middle Eastern (ME), and East Asian (EA) ethnicities who underwent coronary angiography for angina or acute coronary syndromes (ACS).
Methods
Retrospective analysis was performed for patients who identified as SA, ME, or EA ethnic backgrounds between January 2010 to January 2019. Data
were extracted on metabolic risk profile at
the time of admission for elective coronary angiography or urgently for ACSs along with
a comparison of Quantitative Coronary Angiography (QCA) and intravascular ultrasound (IVUS) measurements.
Results
Mean age was 62.2 for SA (n=78), 59.8 ME (n=24), and 68.9 (n=112) for EA group, of which male gender was pre-dominant (49 [62.8%] SA):(19 [79.2%] ME):(77 [68.8%] SA). Majority of the patients presented with ACS 51.3% SA, 70.8%ME and 55.4% EA. Mean TC levels were highest for ME 170.55, 165.91 for SA, and lowest for EA 153.17. Similar trend was seen for mean LDL-C (101.95 ME, 93.78 SA and 91.75 EA) and mean HDL-C (39.09 ME, 39.45 SA, and 40.26 for EA). Alternatively, mean TGs were significantly higher for SA 169.25, 165.23 for ME, and lowest (126.84) for EA, p=0.048. Major coronary artery size by QCA was lowest for SA and largest for EA group, this pattern was in accordance with
the subset of patient
s with IVUS measurements.
Conclusions
Study of metabolic risk profile and coronary artery disease burden of different ethnic backgrounds can allow targeted dietary, medical therapy, environmental and psychosocial services to improve upon preventative measures to fit the needs of specific patient populations for disease prevention and associated adverse health outcomes.