Comparison of insulin resistance indices in predicting albuminuria among patients with type 2 diabetes

Table 2 Logistic regression analysis for the presence of Albuminuria in T2D

Indices	Model 0			Model 1			Model 2			Model 3
Indices	R squared	OR (95% CI)	P-value	R squared	OR (95% CI)	P-value	R squared	OR (95% CI)	P-value	R squared	OR (95% CI)	P-value
TyG^a	0.040	1.859(1.608–2.148)	< 0.001	0.069	1.77 (1.53–2.06)	< 0.001	0.116	1.72 (1.44–2.04)	< 0.001	0.132	1.674 (1.37–2.03)	< 0.001
VAI^b	0.013	1.038(1.022–1.053)	< 0.001	0.052	1.041 (1.02–1.05)	< 0.001	0.100	1.037 (1.01–1.05)*	< 0.001	0.119	1.028 (1.009–1.047) *	< 0.003
LAP^c	0.024	1.005(1.004–1.007)	< 0.001	0.060	1.005(1.004–1.007)	< 0.001	0.101	1.005(1.003–1.007)*	< 0.001	0.121	1.004(1.002–1.006) *	< 0.001
HOMA-IR^d	0.022	1.124(1.080–1.169)	< 0.001	0.067	1.11(1.07–1.16)	< 0.001	0.114	1.13 (1.07–1.18)	< 0.001	–	–	–

Model 0 is a univariate logistic regression with no adjustment. Model 1 was adjusted for age, sex, duration of diabetes, systolic and diastolic blood pressure. Model 2 was adjusted for age, sex, duration of diabetes, systolic and diastolic blood pressure, waist circumference, retinopathy, lipid-lowering agents, and LDL-C. Model 2 was adjusted for HOMA-IR in Model 3
^*Waist circumference was not adjusted in these models due to their formulas
^aTriglyceride-glucose index, ^bVisceral Adiposity Index, ^cLipid Accumulation Product, ^dHomeostasis Model Assessment of Insulin Resistance

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