Prevalence of normal coronary arteries by coronary computed tomography angiography (CCTA) in patients with type 2 diabetes mellitus from Semaglutide Treatment on Coronary Plaque Progression (STOP) trial.
J Diabetes Complications · 2021
Last updated 2026-05-28In a study of 140 people with type 2 diabetes, about 20% were excluded because their heart scans showed no signs of coronary artery disease. Among those excluded, 14 had normal coronary arteries, and they were more likely to be female, younger, and have better kidney function compared to those included in the study.
AI summary of the abstract below.
| Journal | J Diabetes Complications, 2021 |
|---|---|
| Citations | 4 |
| Relative citation ratio | 0.24 |
| NIH percentile | 15 |
| Molecules | semaglutide |
| Conditions studied | Type 2 Diabetes, Cardiovascular Risk Reduction |
Abstract
INTRODUCTION: Coronary artery disease (CAD) is leading cause of morbidity and mortality among type 2 diabetics (T2DM).
METHODS: 140 T2DM will be enrolled in randomized, double blind, placebo controlled Semaglutide Treatment On Coronary Plaque Progression (STOP) trial to determine effect of weekly subcutaneous semaglutide on coronary plaque progression. All participants will undergo Coronary Artery Calcium (CAC) Scoring and Coronary Computed Tomography Angiography (CCTA) at our center. A Fisher test, ANOVA and Kruskal Wallis were used.
RESULTS: As of May 2020, 87 patients (81%) randomized (mean age 56.4 ± 8.4 yrs. and 62% male) with documented CAD by CCTA. Approximately 20% of screened study population were screen failed due to normal coronaries (n= 14) or HbA1C<7 (n=7). Of interest, 14 persons with diabetes with normal coronaries (no calcification) were significantly more likely to be females (21% vs 62%), have higher glomerular filtration rate (106.5 ± 19.4 vs 89.9 ± 22.6 mL/min/1.73m; p= 0.006), and younger (53.4 ± 9.0 vs 56.4 ± 8.4 yrs.; p=0.02) than those who were randomized.
CONCLUSION: Among T2DM, there is a significant portion who have normal coronary arteries and may have a better prognosis. Excluding these participants from cardiovascular studies may improve power and decrease sample size.
Verbatim abstract via PubMed 33419635 ↗
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