Combined lesion-specific pericoronary adipose tissue attenuation and triglyceride-glucose body mass index for improved risk stratification of major adverse cardiovascular events in patients with stable angina pectoris
Abstract
Background: Although patients with stable angina pectoris (SAP) are generally considered to be at lower risk than those with acute coronary syndromes (ACS), their risk of major adverse cardiovascular events (MACEs) remains substantial. Lesion-specific pericoronary adipose tissue attenuation (PCATa-lesion) reflects local coronary inflammation, and the triglyceride-glucose body mass index (TyG-BMI) is a robust surrogate of insulin resistance (IR) and metabolic dysfunction; however, their combined prognostic value remains unclear. This study aimed to evaluate whether incorporating TyG-BMI and PCATa-lesion into conventional clinical and coronary computed tomography angiography (CCTA) models improves MACEs prediction and risk stratification in SAP patients. Methods: In this retrospective study, patients with SAP who underwent CCTA from January 2017 to December 2020 were included. Clinical and imaging data were collected, including PCATa-lesion, TyG-BMI, plaque characteristics, and coronary artery calcium score (CACS). Statistical analyses included Cox proportional hazards regression to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), time-dependent receiver operating characteristic curve, Kaplan-Meier analysis and decision curve analysis (DCA). Results: A total of 212 patients were enrolled, with 43 MACEs occurring over a median follow-up of 36 months. Multivariable Cox regression analysis identified age (HR =1.052, 95% CI: 0.999-1.108; P=0.049), degree of stenosis (DS) (HR =1.079, 95% CI: 1.047-1.112; P=0.031), TyG-BMI (HR =2.198, 95% CI: 1.091-4.426; P=0.027) and PCATa-lesion (HR =1.117, 95% CI: 1.067-1.169, P
Fields of Study & Subjects
Cardiovascular Disease and Adiposity
Cardiac Imaging and Diagnostics
Diabetes
Cardiovascular Risks
and Lipoproteins
Publication details
- Journal / source
- Quantitative Imaging in Medicine and Surgery
- Volume
- 16
- Issue
- 3
- Pages
- 200–200
- Publication date
- 13 February 2026
- Language
- EN