. 2021 Apr 19;27(8):834–841. doi: 10.1016/j.eprac.2021.04.004

Table 3.

Multivariable-Adjusted Association Between Changes in the TyG Index and Anthropometric Parameters and Changes in Variables for Coronavirus Disease 2019 Patients at the 3-Month Follow-up

Variables	ΔTyG-3
Variables	β	95% CI	P value
Model 1
Gender	−0.427	−0.712, −0.142	.004^a
Age	0.016	0.005, 0.027	.004^a
Model 2
Gender	−0.422	−0.708, −0.136	.005^a
Age	0.018	0.007, 0.029	.001^a
BMI (kg/m²)	0.005	−0.032, 0.042	.791
Interferon-alfa	0.609	0.064, 1.155	.029^a
Model 3
Gender	−0.312	−0.590, −0.034	.028^a
Age	0.012	0.001, 0.023	.031^a
BMI (kg/m²)	0.013	−0.022, 0.048	.445
Interferon-alfa	0.540	0.029, 1.051	.039^a
ΔTC-3	0.217	0.069, 0.366	.005^a
ΔHDL-3	−0.477	−0.881, −0.074	.021^a

Abbreviations: β = regression coefficient; BMI = body mass index; HDL = high-density lipoprotein; TC = total cholesterol; TyG = triglyceride-glucose index.

ΔVariable-3 is the mean difference value of the variable between 3 months after discharge and at baseline. Linear regression analysis was performed to analyze the relationship between the changes in the TyG index and changes in other variables.

P < .05 was considered statistically significant.