The Predictive Value of Total Cholesterol/High-Density Lipoprotein Cholesterol Ratio for Major Adverse Cardiovascular Events in Elderly Patients with Chronic Heart Failure
ZHOU Xiling
ZHAO Yan
HUANG Juan
WU Qi
BIN Xiaohong
PENG Jiahui
Abstract：Objective To explore the predictive value of the total cholesterol(TC)/high-density lipoprotein cholesterol(HDL-C)ratio for major adverse cardiovascular events(MACE)in elderly patients with chronic heart failure(CHF).Meth-ods A total of 106 elderly CHF patients from January 2022 to January 2024 were enrolled as the research subjects and followed up for one year.They were divided into the non-MACE group(n=75)and the MACE group(n=31)based on the occurrence of MACE during follow-up.Demographic and clinical data,TC,and HDL-C levels were collected,and the TC/HDL-C ratio was cal-culated.The predictive value of the TC/HDL-C ratio for MACE was analyzed using ROC curve analysis;risk factors for MACE were explored via multivariate logistic stepwise regression analysis.Results TC levels and TC/HDL-C ratio in the MACE group were significantly higher than those in the non-MACE group,while HDL-C levels were lower(P＜0.05).ROC curve analysis showed that the area under the curve(AUC)of the TC/HDL-C ratio for predicting MACE was 0.917(95％CI:0.867-0.956),which was higher than those of TC alone(AUC=0.728)and HDL-C alone(AUC=0.851)(Z=9.137 and 11.759,respectively;P＜0.001).The age,proportion of NYNA classs Ⅳ heart failure,and BNP levels in the MACE group were higher than those in the non-MACE group,while LVEF was lower(P＜0.05).Age,NYHA class,and TC/HDL-C ratio were independent risk factors for MACE,where-as LVEF was an independent protective factor(P＜0.05).Conclusion An elevated TC/HDL-C ratio is strongly associated with MACE in elderly CHF patients and demonstrates strong predictive performance for MACE in this population.
Keywords：Total cholesterol/high-density lipoprotein cholesterol ratioChronic heart failureElderlyMajor Adverse cardiovascular eventsPredictive value
Publication Date：2025-04-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 87-91 )