Abstract 4138739: Insulin Resistance as a Marker of Multivessel Coronary Artery Diseases in Patients With Cardiovascular-Kidney-Metabolic Risk: Inshight From Invasive Coronary Angiography

Background: Cardiovascular-Kidney-Metabolic (CKM) syndrome is the concept of a combined diseases, including diabetes and chronic kidney disease (CKD), to stratify patients at cardiovascular risks. However, whether CKM components and insulin resistance differ in risk for coronary artery disease (CAD) severity is unknown. Purpose: This study aimed to investigate the association of distinct CKM risks and insulin resistance with CAD severity. Methods: In this study, we included 849 patients (74% male, 69±10 years of age) who underwent coronary angiography to assess chronic CAD. We assessed CKM risks using following components: (1) BMI ≥23 kg/m 2 , (2) diabetes, (3) hypertension and dyslipidemia, and (4) CKD. According to the number of CKM risk components, patients were categorized into four groups (Group A as having 0 or 1, Group B as 2, Group C as 3, and Group 4 as 4 risks). Insulin resistance was assessed by HOMA-IR and triglyceride-glucose index (TyG index) calculated as Ln (fasting plasma glucose × triglyceride/2). Coronary artery stenosis was categorized into single-vessel or multi-vessel CAD (MVD) per AHA classification. Gensini score was calculated to assess CAD extent. Logistic regression analysis was performed to determine independent predictors of MVD among CKM risk components. Results: MVD was diagnosed in 26.3% (n = 223) patients (mean Gensini score was 58±40 points). Among the four groups, there were significant differences in age, body mass index, hemoglobin A1c levels, TyG index, HOMA-IR, and Gensini score. Compared with Group A as reference, Group C (odds ratio [OR], 1.58; 95% confidence interval [CI] 1.03–2.42) or Group D (OR, 1.75; 95%CI, 1.06–2.89) but not Group B (OR, 1.09; 95%CI, 0.70–1.71) had higher risk for MVD (Figure). In a logistic regression model adjusting for age, male, smoker, and CRP ≥2 mg/dL, independent predictor of MVD was diabetes (OR, 2.15; 95%CI,1.55–2.99; p < 0.001; model 1 in Table). In addition, when adjusting for age, male, smoker, and CRP ≥2 mg/dL, HOMA-IR>2.5 was an independent predictor of MVD (model 2 in Table). Similarly, TyG index, an alternative marker of insulin resistance, remained as an independent predictor of MVD (model 3 in Table). Conclusions: In chronic CAD patients who underwent coronary angiography, subgroups stratified by the CKM risk components exhibit distinctly different insulin resistance, CAD severity and risk for MVD. Insulin resistance and diabetes were independent risks for MVD in this population.