Objective To analyze the risk factors associated with coronary slow flow(CSF)and to explore the dose-response relationship between triglyceride-glucose(TyG)index and CSF using restricted cubic spline(RCS)modeling,and to gain further insights into the relationship between insulin resistance(IR)and the occurrence of CSF.Methods A total of 115 pa-tients with CSF diagnosed by coronary angiography in the Fifth Affiliated Hospital of Xinjiang Medical University from June 2021 to May 2023 were retrospectively selected as the CSF group,and 121 healthy people without coronary blood flow ab-normality in the same period were selected as the normal blood flow group for study.Multivariate logistic regression was used to analyze the related risk factors of CSF.The TyG index was divided into groups,and the RCS model was used to clarify the dose-response relationship between TyG index and CSF.Results The results of multifactorial logistic regression analysis indicated that smoking history(β=1.538,OR=4.655,95％CI:2.332-9.681),systolic blood pressure(β=0.077,OR=1.080,95％CI:1.051-1.113),low-density lipoprotein cholesterol(β=0.552,OR=1.737,95％CI:1.156-2.676)and TyG index(β=1.072,OR=2.922,95％CI:1.629-5.475)were risk factors for CSF,and lymphocyte count(β=-0.941,OR=0.390,95％CI:0.218-0.680)and left ventricular ejection fraction(β=-0.126,OR=0.881,95％CI:0.813-0.944)were protective factors for CSF.The results of the RCS model indicated a dose-response relationship between TyG index and CSF(P-overall＜0.001,P-non-linear=0.001).Conclusion The TyG index is an independent risk factor for CSF,and there is a nonlinear dose-response relationship between TyG index and CSF.IR may be related to the pathogenesis of CSF.
维普
万方数据