Analysis of the Value of Serum TG/HDL-C Ratio Combined with Controlling Nutritional Status Score in Assessing Lesion Severity and Short-Term Prognosis in Patients with Coronary Atherosclerosis.

Coronary artery disease (CAD) remains one of the leading causes of death worldwide. This study aimed to evaluate the predictive value of combining the serum to high-density lipoprotein cholesterol ratio (TG/HDL-C) with the Controlling Nutritional Status (CONUT) score for assessing lesion severity and short-term prognosis in CAD patients. A total of 138 patients undergoing their first coronary angiography were enrolled and divided into CAD (n=88) and non-CAD (n=50) groups. Baseline characteristics and laboratory parameters were collected, and TG/HDL-C ratio and CONUT score were calculated. Lesion severity was assessed using the Gensini score, and CAD patients were followed for 6 mo. Multivariate logistic regression was performed to identify independent risk factors, evaluated the predictive performance. Both TG/HDL-C ratio (odds ratio [OR]=3.58) and CONUT score (OR=1.70) were independent predictors of CAD severity and showed significant positive correlations with Gensini scores. ROC analysis demonstrated that the combined model of TG/HDL-C and CONUT score achieved an area under the curve (AUC) of 0.86 for predicting CAD severity, outperforming individual markers. The combined model also exhibited stable predictive value for short-term prognosis (AUC=0.80). Serum TG/HDL-C ratio and CONUT score are independent and effective biomarkers for evaluating lesion severity and short-term prognosis in CAD patients. The combined predictive model enhances accuracy and may serve as a clinical tool for risk assessment and intervention decisions.