Cited by 492Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and ResearchDiabetes and associated disorders

Insulin Resistance–Related Factors, but not Glycemia, Predict Coronary Artery Disease in Type 1 Diabetes

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Orchard, Trevor J., Olson, Jon C., Erbey, John R., Williams, Katherine, Forrest, Kimberly Y.-Z., Smithline Kinder, Leslie, Ellis, Demetrius, Becker, Dorothy J.·2003·Diabetes Care

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 ≥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 ≥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 HbA1 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.

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Authors
Orchard, T. J., Olson, J. C., Erbey, J. R., Williams, K., Forrest, K. Y.-Z., Smithline Kinder, L., Ellis, D., & Becker, D. J.
Affiliations
  • University of Pittsburgh (US)
  • School of Medicine, Stanford University, Palo Alto, California
Venue
Diabetes Care
Published
2003-05-01
Volume
26
Issue
5
Pages
1374-1379
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
OpenAlex
W2141428319
Cited by
492
References
37
Citations by year
2026: 8 · 2025: 16 · 2024: 21 · 2023: 20 · 2022: 22 · 2021: 28 · 2020: 30 · 2019: 23 · 2018: 19 · 2017: 19 · 2016: 13 · 2015: 27 · 2014: 26 · 2013: 30 · 2012: 24
FWCI
10.38
Type
journal article
Language
en
Open access
Locations
  • Diabetes Care (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health
  • National Institute of Diabetes and Digestive and Kidney Diseases (DK-34818)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
Keywords
coronary artery disease, type 1 diabetes, insulin resistance, glycemia, HbA1c, estimated glucose disposal rate, angina pectoris, myocardial infarction, depressive symptoms, cardiovascular risk factors, physical activity, glycemic control
MeSH terms
Adult, Blood Glucose, Coronary Disease, Creatinine, Diabetes Mellitus, Type 1, Diabetic Angiopathies, Female, Follow-Up Studies, Humans, Insulin Resistance, Male, Predictive Value of Tests, Time Factors, Biomarkers, Incidence, Age of Onset

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