Table 4.

Multivariate analysis of estimated glomerular filtration rate predictors in type 2 diabetes mellitus by clinical factors and biomarkers

Units of increase	Multivariate models 2–6[Link]
	OR (95% CI)	P
Model 2: model 1 + L‐FABP (1 SD = 0.45)	1.37 (1.02–1.84)	0.03
Model 3: model 1 + uKIM‐1 (1 SD = 0.38)	0.86 (0.68–1.10)	0.24
Model 4: model 1 + sKIM‐1 (1 SD = 0.33)	1.50 (1.14–1.99)	0.004
Model 5: model 1 + L‐FABP (1 SD = 0.45)	1.35 (1.01–1.82)	0.045
+ sKIM‐1 (1 SD = 0.33)	1.47 (1.12–1.92)	0.006

^†

The effect of each biomarker was examined separately and with pairwise combinations while controlling for clinical predictors. CI, confidence interval; KIM‐1, kidney injury molecule‐1; L‐FABP, liver‐type fatty acid‐binding protein; OR, odds ratio; SD, standard deviation. The s and u prefixes denote serum and urinary sources, respectively.