Correlation between triglyceride-glucose index and coronary slow flow phenomenon
Chen Yunxian
Xia Jue
Liang Yanghai
Li Ziying
Li Yanrong
Chen Yicai
Li Yue
Tang Liangqiu
Abstract：Objective To investigate the correlation between triglyceride-glucose index(TyG)and coronary slow flow phenomenon(CSFP),and analyze the predictive value of TyG to CSFP.Methods CSFP patients indicated by coronary angiography(CAG,n=1 16)were chosen continuously from Department of Cardiovascular Medicine in Yuebei People's Hospital of Shaoguan City from Jan 2018 to Dec.2022.At the same time,the controls with similar gender and age and normal CAG outcomes were control into control group.The clinical materials and laboratory test results were collected to calculate TyG in the patients.The correlation between TyG and CSFP were analyzed by using Logistic regression model and ROC curve analysis.Results TyG level was higher in CSFP group than that in control group[(8.8±0.5)vs.(8.2±0.5),P＜0.01].The results of multi-factor Logistic regression analysis showed that,after adjusted other factors,TyG was an independent risk factor for CSFP(OR=1.14,95％CI:1.03～1.26,P=0.009).The results of ROC curve analysis showed that,in prediction of CSFP by TyG,AUC was 0.757(95％CI:0.696～0.817,P＜0.001),and taken 6.94 as critical value,sensitivity was 63.0％and specificity was 76.1％.Conclusion TyG is an independent risk factor for CSFP,and may be a biomarker for predicting CSFP.
Keywords：Coronary slow flow phenomenonTriglyceride-glucose indexPredictive factors
Publication Date：2024-11-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 1327-1329 )