Publication
Investigating Genetic and Other Determinants of First-Onset Myocardial Infarction in Malaysia: Protocol for the Malaysian Acute Vascular Events Risk Study (Preprint)
Publisher:
JMIR Publications Inc.
Date:
09-07-2021
DOI:
10.2196/PREPRINTS.31885
Abstract: lthough the burden of premature myocardial infarction (MI) is high in Malaysia, direct evidence on the determinants of MI in this multi-ethnic population remains sparse. he Malaysian Acute Vascular Events Risk (MAVERIK) study is a retrospective case-control study established to investigate the genomic, lipid-related, and other determinants of acute MI in Malaysia. In this paper, we report the study protocol and early results. y June 2019, we had enrolled approximately 2500 patients with their first MI and 2500 controls without cardiovascular disease, who were frequency-matched by age, sex, and ethnicity, from 17 hospitals in Malaysia. For each participant, serum and whole blood have been collected and stored. Clinical, demographic, and behavioral information has been obtained using a 200-item questionnaire. obacco consumption, a history of diabetes, hypertension, markers of visceral adiposity, indicators of lower socioeconomic status, and a family history of coronary disease were more prevalent in cases than in controls. Adjusted (age and sex) logistic regression models for traditional risk factors indicated that current smoking (odds ratio [OR] 4.11, 95% CI 3.56-4.75 i P /i & .001), previous smoking (OR 1.34, 95% CI 1.12-1.60 i P /i =.001), a history of high blood pressure (OR 2.13, 95% CI 1.86-2.44 i P /i & .001), a history of diabetes mellitus (OR 2.72, 95% CI 2.34-3.17 i P /i & .001), a family history of coronary heart disease (OR 1.28, 95% CI 1.07-1.55 i P /i =.009), and obesity (BMI & kg/m sup /sup OR 1.19, 95% CI 1.05-1.34 i P /i =.009) were associated with MI in age- and sex-adjusted models. he MAVERIK study can serve as a useful platform to investigate genetic and other risk factors for MI in an understudied Southeast Asian population. It should help to hasten the discovery of disease-causing pathways and inform regionally appropriate strategies that optimize public health action. R1-10.2196/31885