Key result
Elevated proximal LAD-PCATa linked to ~25% higher odds of INOCA in T2DM.
Why the study?
The clinical use of pericoronary adipose tissue attenuation derived from CCTA for identifying INOCA in patients with T2DM remains poorly defined.
Does CCTA-derived pericoronary adipose tissue attenuation improve the diagnosis of INOCA in patients with type 2 diabetes mellitus compared to clinical risk factors alone?
Cohort (n=348)
No
Does CCTA-derived pericoronary adipose tissue attenuation improve the diagnosis of INOCA in patients with type 2 diabetes mellitus compared to clinical risk factors alone?
Odds Ratio: 1.246 (95% CI 1.168–1.329)
p-value: p=<0.001
CCTA-derived PCATa is a noninvasive imaging biomarker that, when combined with traditional clinical variables, significantly enhances the identification of INOCA in patients with type 2 diabetes.
PCATa may aid INOCA detection in T2DM on CCTA; extends biomarker data but leaves open prospective validation.
BACKGROUND: Type 2 diabetes mellitus (T2DM) substantially increases the risk of cardiovascular disease, including ischemia with non-obstructive coronary artery disease (INOCA). Coronary computed tomography angiography (CCTA) enables early detection of coronary abnormalities; however, it may fail to identify INOCA due to the absence of overt stenosis. Pericoronary adipose tissue attenuation (PCATa) values derived from CCTA in the proximal segments of the left anterior descending (LAD), left circumflex (LCX), and right coronary artery (RCA) serve as effective imaging biomarkers for coronary inflammation. However, its clinical use for identifying INOCA in patients with T2DM remains poorly defined. AIM: To investigate PCATa differences and their diagnostic value for identifying INOCA in patients with T2DM. METHODS: This retrospective study involved 228 T2DM patients underwent CCTA and 120 healthy individuals. The mean PCATa values within the proximal segments of the three major coronary arteries were compared between groups. Further subgroup analysis was performed to assess the differences in PCTAa and clinical characteristics between T2DM patients with and without INOCA. Logistic regression analysis was conducted to identify the independent risk factors for INOCA, and the receiver operating characteristic curves were generated to evaluate the diagnostic performance of each indicator. RESULTS: < 0.05). Multivariate logistic regression identified age; female sex; elevated glycated hemoglobin; and increased PCATa in the LAD, LCX, and RCA as independent risk factors for INOCA. Receiver operating characteristic analysis showed good diagnostic performance for PCATa [LAD area under the curve (AUC) = 0.809; LCX AUC = 0.777; RCA AUC = 0.758], outperforming traditional clinical indicators (AUC = 0.731). Combining PCATa with clinical parameters yielded the highest diagnostic accuracy (LAD AUC = 0.851; LCX AUC = 0.842; RCA AUC = 0.841). CONCLUSION: Elevated proximal PCATa is an independent risk factor for INOCA in T2DM. Combining PCATa with clinical data improves diagnostic performance in this population.
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Su et al. (2026) conducted a cohort in Type 2 diabetes mellitus with myocardial ischemia and non-obstructive coronary arteries (INOCA) (n=348). Elevated pericoronary adipose tissue attenuation (PCATa) vs. Lower/normal pericoronary adipose tissue attenuation was evaluated on Diagnosis of ischemia with non-obstructive coronary arteries (INOCA) (Adjusted OR 1.246, 95% CI 1.168-1.329, p=<0.001). Elevated proximal LAD-PCATa was an independent risk factor for INOCA in T2DM patients (OR 1.246), and combining PCATa with clinical parameters yielded high diagnostic accuracy (AUC 0.851).
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