Which one of LDL-C /HDL-C ratio and non-HDL-C can better predict the severity of coronary artery disease in STEMI patients

Abstract

BackgroundThe increase of low-density lipoprotein cholesterol (LDL-C) is widely accepted as an important factor in the occurrence of atherosclerosis. In recent years, the guidelines have recommended non-high density lipoprotein cholesterol (non-HDL-C) as a secondary target for lipid-lowering therapy. But even as research on the relationship between LDL-C/HDL-C and atherosclerosis increases, it is still undetermined which index is most closely related to the severity of acute ST-segment elevation myocardial infarction (STEMI).Methods901 patients who received coronary angiography due to chest pain were selected. Among them, 772 patients with STEMI represented the test group, and 129 patients with basically normal coronary angiography represented the control group. Researchers measured fasting blood lipids and other indicators after admission, and determined the severity of coronary artery disease using the Gensini score.ResultsLDL-C/HDL-C and non-HDL-C indexes were statistically different between the two patient groups. In the test group, total cholesterol (TC), triglycerides (TG), LDL-C, high density lipoprotein cholesterol (HDL-C), non-HDL-C, arteriosclerosis index (AI), and LDL-C/HDL-C all correlated with the patients' Gensini score. After applying the stepwise method of multiple linear regression analysis (R2 = 0.423, β = 0.518, p < 0.05), LDL-C/HDL-C had the most correlation with the patient's Gensini score. ROC curve analysis suggested that LDL-C/HDL-C can predict whether patients with chest pain are STEMI (AUC: 0.880, 95% Cl: 0.847–0.912, p < 0.05). When cutoff value is 2.15, sensitivity is 0.845, and specificity is 0.202, LDL-C/HDL-C is an effective indicator for predicting whether patients with chest pain have STEMI.ConclusionCompared to ratios of non-HDL-C and LDL-C, the LDL-C/HDL-C ratio in patients with STEMI is more correlated with the severity of coronary artery disease. It can better evaluate the severity of coronary artery disease and better predict whether patients with chest pain are STEMI.