Long-term predictors of coronary artery disease and mortality in type 1 diabetes

Area of Science:

• Endocrinology
• Nephrology
• Cardiology

Background:

• Type 1 diabetes mellitus (DM) is associated with increased risks of mortality and cardiovascular disease (CVD).
• Identifying predictors of adverse outcomes is crucial for managing type 1 DM patients.
• Long-term follow-up studies are essential to understand disease progression and risk factors.

Purpose of the Study:

• To assess clinical and biochemical predictors of death and/or coronary artery disease (CAD) in type 1 DM patients.
• To identify key indicators for mortality and CAD development in this population.
• To elucidate the role of renal function, retinopathy, and lipoprotein metabolism in adverse outcomes.

Main Methods:

• A 14-year follow-up study of 147 type 1 DM patients.
• Baseline clinical and biochemical data were collected.
• Logistic regression analysis was used to identify predictors of mortality and CAD.

Main Results:

• Mortality predictors included higher serum creatinine, urine albumin/creatinine ratio, and retinopathy; lower serum apolipoprotein A1 and insulin dose.
• CAD predictors included longer diabetes duration, older age at onset/presentation, retinopathy, neuropathy, higher serum creatinine, lower HDL and apolipoprotein A1, and higher LDL and apolipoprotein B.
• Adjusted logistic regression identified urine albumin/creatinine ratio, retinopathy, serum creatinine, and urea as strong mortality predictors.
• Diabetes duration, HDL cholesterol, serum creatinine, apolipoprotein B, LDL cholesterol, and systolic blood pressure were strong CAD predictors.

Conclusions:

• Renal impairment and retinopathy are significant predictors of mortality in type 1 DM.
• Abnormal lipoprotein metabolism plays a crucial role in the development of CAD in type 1 DM.
• Early identification of these risk factors can aid in proactive management and prevention strategies.