Risk stratification by assessment of coronary artery disease using coronary computed tomography angiography in diabetes and non-diabetes patients: A study from the Western Denmark Cardiac Computed Tomography Registry
European Heart Journal – Cardiovascular Imaging Feb 20, 2019
Olesen KKW, et al. - Using the Western Denmark Cardiac Computed Tomography Registry from 2008 to 2016, researchers investigated the severity of coronary artery disease (CAD) measured by coronary computed tomography angiography as a predictor of rates of myocardial infarction (MI) and death in patients with and without diabetes. This cohort study included 48,731 consecutively registered patients, who were stratified based on diabetes status and CAD severity (no, non-obstructive, or obstructive). Participants were followed-up for median 3.6 years. They estimated event rates per 1000 person-years, unadjusted and adjusted incidence rate ratios. Findings revealed a low risk of MI in diabetics which was similar to that observed in non-diabetes patients, among patients without CAD. Both diabetes and non-diabetes patients had increased MI rates with CAD severity. The highest risk of MI was noted in diabetes patients with obstructive CAD.
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