Insulin Resistance–Related Factors, but not Glycemia, Predict Coronary Artery Disease in Type 1 Diabetes
Open accessAbstract
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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Meta-analyses have clearly shown that tight blood glucose control leads to the suppression of ASCVD incidence.
“Meta-analyses have clearly shown that tight blood glucose control leads to the suppression of ASCVD incidence795, 796).”
From Japan Atherosclerosis Society (JAS) guidelines for prevention of atherosclerotic cardiovascular diseases 2017 (2018) · cites this paper as [796]
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BackgroundResultInfluentialType 1 diabetes, metabolic syndrome and cardiovascular risk
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Self-citation
- 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
- Publisher
- American Diabetes Association
- 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
- bronze
- doi.org
- 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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