Insulin resistance was associated with coronary artery calcification (OR 1.6 in type 1 diabetes, P<0.001); adjusting for fat distribution eliminated the gender difference in diabetic subjects.
Cross-Sectional (n=1,420)
Effect estimate: OR 1.6
p-value: p=<0.001
The objective of this is study was to examine whether estimated insulin resistance and insulin resistance-related factors are associated with coronary artery calcification (CAC) in 1,420 asymptomatic participants in the Coronary Artery Calcification in Type 1 Diabetes (CACTI) study. A total of 656 patients with type 1 diabetes and 764 control subjects aged 20-55 years were examined. CAC was assessed by electron-beam computed tomography. Insulin resistance was computed with linear regression based on an equation previously validated in clamp studies on type 1 diabetic adults. Insulin resistance was associated with CAC (OR 1.6 in type 1 diabetes and 1.4 in control subjects, P < 0.001), independent of coronary artery disease risk factors. There was a male excess of CAC in control subjects (OR 2.7, adjusted for age, smoking, and LDL and HDL cholesterol levels) and in type 1 diabetic patients (OR 2.2, adjusted for the same factors and diabetes duration). After adjusting for insulin resistance, the CAC male excess in diabetic patients decreased from OR 2.2 (P < 0.001) to 1.8 (P = 0.04). After adjustment for waist-to-hip ratio, waist circumference, or visceral fat, the gender difference in CAC was not significant in diabetic subjects. In conclusion, gender differences in insulin resistance-associated fat distribution may explain why type 1 diabetes increases coronary calcification in women relatively more than in men.
Dabelea et al. (Sat,) conducted a cross-sectional in Type 1 Diabetes and Coronary Artery Calcification (n=1,420). Insulin resistance and related factors vs. Control subjects was evaluated on Coronary artery calcification (CAC) (OR 1.6, p=<0.001). Insulin resistance was associated with coronary artery calcification (OR 1.6 in type 1 diabetes, P<0.001); adjusting for fat distribution eliminated the gender difference in diabetic subjects.
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