Predictive performance of triglyceride glucose index (TyG index) to identify glucose status conversion: a 5-year longitudinal cohort study in Chinese pre-diabetes people

Table 4 relations between TyG and the indidence of normalization of blood glucose

Exposure	Crude model	Model I (HR, 95% CI, P)	Model II (HR, 95% CI, P)	Model III (HR, 95% CI, P)
TyG	0.693 (0.672, 0.715) < 0.00001	0.846 (0.817, 0.875) < 0.00001	0.895 (0.863, 0.928) < 0.00001	0.918 (0.885, 0.953) < 0.00001
TyG quartile
Q1	1.0	1.0	1.0	1.0
Q2	0.818 (0.780, 0.859) < 0.00001	0.973 (0.925, 1.022) 0.27115	0.989 (0.941, 1.040) 0.66878	1.005 (0.955, 1.057) 0.84787
Q3	0.698 (0.664, 0.734) < 0.00001	0.901 (0.854, 0.951) 0.00014	0.964 (0.912, 1.019) 0.19605	0.987 (0.933, 1.044) 0.65351
Q4	0.557 (0.528, 0.587) < 0.00001	0.755 (0.712, 0.800) < 0.00001	0.829 (0.780, 0.882) < 0.00001	0.864 (0.812, 0.920) < 0.00001
P for trend	< 0.00001	< 0.00001	< 0.00001	0.00002

Crude model: we did not adjust other covariates
Model I: we adjusted age, sex, BMI, SBP, DBP
Model II: we adjusted age, sex, BMI, SBP, DBP, ALT, AST, BUN, LDL-C, HDL-c, Scr, family history of diabetes, drinking status, and smoking status
Model III: we adjusted age (smooth), sex, BMI, SBP(smooth), DBP(smooth), ALT, AST, BUN, LDL-C(smooth), HDL-c(smooth), Scr(smooth),family history of diabetes, drinking status, and smoking status
HR Hazard ratios, CI confidence

ISSN: 1479-5876