Abstract
Background: Using serial coronary CT angiography (CCTA) imaging, we aimed to characterize baseline coronary plaque characteristics and quantify 10-year coronary plaque progression, including high-risk and low-density plaque presence, in patients with and without type 2 diabetes. Methods: A total of 299 patients underwent CCTA with a median scan interval of 10.2 [IQR 8.7–11.2] years. Patients who underwent coronary artery bypass grafting and vessels revascularized by percutaneous coronary intervention were excluded (n = 32). Scans were analyzed using atherosclerosis imaging-quantitative CCTA analysis (AI-QCT; Cleerly Inc.). Associations between diabetic status, baseline and follow-up plaque burden and characteristics were evaluated using multivariable regression adjusted for cardiovascular risk factors, statin use, baseline plaque volumes, and scanner settings. Results: In total, 267 patients were included (mean age 57 ± 7 years; 43% were women), 44 (16.5%) had type 2 diabetes (HbA1c 56 ± 14 mmol/mol). At baseline, patients with diabetes had a higher percent atheroma volume (PAV) compared to non-diabetic individuals (5.1% [1.7, 10.9] versus 2.2% [0.5, 5.8]). Adjusted for cardiovascular risk factors, patients with diabetes had a higher plaque burden at both baseline and follow-up. After adjustment for cardiovascular risk factors and baseline plaque volumes, individuals with diabetes had a more than threefold higher rate of plaque progression. After 10 years of follow-up, patients with diabetes had a higher prevalence of both high-risk plaque (OR 2.75; 95% CI 1.38–5.48; p = 0.004) and low-density plaque (OR 2.88; 95% CI 1.45–5.70; p = 0.002). Conclusions: Patients with diabetes had a more than threefold higher rate of coronary plaque progression and an increased development of high-risk plaque.
| Original language | English |
|---|---|
| Article number | 423 |
| Journal | Cardiovascular diabetology |
| Volume | 24 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Dec 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Atherosclerosis
- Coronary artery disease
- Coronary computed tomography angiography
- Coronary plaque burden
- Coronary plaque composition
- Coronary plaque progression
- Type 2 diabetes mellitus
- Vulnerable plaque
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