Insulin resistance-related factors, but not glycemia, predict coronary artery disease in type 1 diabetes: 10-year follow-up data from the Pittsburgh Epidemiology of Diabetes Complications Study

Diabetes Care. 2003 May;26(5):1374-9. doi: 10.2337/diacare.26.5.1374.

Abstract

Objective: To determine the independent risk factors for coronary artery disease (CAD) in type 1 diabetes by type of CAD at first presentation.

Research design and methods: This is a historical prospective cohort study of 603 patients with type 1 diabetes diagnosed before 18 years of age between 1950 and 1980. The mean age and duration of diabetes at baseline were 28 (range 8-47) and 19 years (7-37), respectively, and patients were followed for 10 years. Patients with prevalent CAD were excluded from the study. Electrocardiogram (ECG) ischemia was defined by Minnesota Code (MC) 1.3, 4.1-3, 5.1-3, or 7.1; angina was determined by Pittsburgh Epidemiology of Diabetes Complications (EDC) study physician diagnosis; and hard CAD was determined by angiographic stenosis > or =50%, revascularization procedure, Q waves (MC 1.1-1.2), nonfatal myocardial infarction (MI), or CAD death.

Results: A total of 108 incident CAD events occurred during the 10-year follow-up: 17 cases of ECG ischemia, 49 cases of angina, and 42 cases of hard CAD (5 CAD deaths, 25 nonfatal MI or major Q waves, and 12 revascularization or > or =50% stenosis). Blood pressure, lipid levels, inflammatory markers, renal disease, and peripheral vascular disease showed a positive gradient across the groups of no CAD, angina, and hard CAD (P < 0.01, trend analysis, all variables), although estimated glucose disposal rate (eGDR) and physical activity showed inverse associations (P < 0.01, trend analysis, both variables). In addition, depressive symptomatology predicted angina (P = 0.016), whereas HbA(1) showed no association with subsequent CAD.

Conclusions: These data suggest that although the standard CAD risk factors are still operative in type 1 diabetes, greater glycemia does not seem to predict future CAD events. In addition, depressive symptomatology predicts angina and insulin resistance (eGDR) predicts hard CAD end points.

Publication types

  • Multicenter Study
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Age of Onset
  • Biomarkers / blood
  • Blood Glucose / metabolism*
  • Coronary Disease / epidemiology*
  • Creatinine / blood
  • Diabetes Mellitus, Type 1 / complications*
  • Diabetic Angiopathies / epidemiology*
  • Female
  • Follow-Up Studies
  • Humans
  • Incidence
  • Insulin Resistance / physiology*
  • Male
  • Predictive Value of Tests
  • Time Factors

Substances

  • Biomarkers
  • Blood Glucose
  • Creatinine