. 2021 Feb 3;6(4):1066–1080. doi: 10.1016/j.ekir.2021.01.025

Table 6.

Multiple linear regression analysis

Dependent Variables	Adjusted $R^{2} (S E)$	F	P value	Constant (SE)	P value	Independent Variables	Standardized B coefficient	SE	P value
eGFR-Baseline (ml/min per 1.73 $m^{2})$	Unadjusted model
	0.16 (15.45)	12.83	0.001	48.26 (4.72)	0.0001	Interstitial fibrosis (%)	−0.42	0.08	0.001
	Adjusted model^a
	0.16 (15.45)	12.83	0.001	48.26 (4.72)	0.0001	Interstitial fibrosis (%)	−0.42	0.08	0.001
eGFR Change (%/y)	Unadjusted model
	0.22 (0.11)	11.25	0.001	0.33 (0.03)	0.0001	Global Sclerosis	−0.34	0.01	0.004
	0.22 (0.11)	11.25	0.001	0.33 (0.03)	0.0001	Mesangiolysis	−0.31	0.03	0.009
	Adjusted model^a
	0.3 (0.11)	9.77	0.0001	0.44 (0.05)	0.0001	eGFR-Baseline (ml/min per 1.73 $m^{2})$	−0.3	0.001	0.009
						Global Sclerosis	−0.44	0.01	0.0001
						Mesangiolysis	−0.33	0.03	0.003
UPCR-Baseline (mg/g)	Unadjusted model
	0.51 (0.47)	21.68	0.0001	−1.76 (0.3)	0.0001	Intimal Fibrosis	0.51	0.08	0.0001
						Foot Process Effacement (%)	0.41	0.003	0.0001
						RPS DN Class	0.32	0.08	0.001
						Endothelial Fenestration Loss	−0.2	0.09	0.04
	Adjusted model^a
	0.48 (0.49)	20.15	0.0001	−1.73 (0.31)	0.0001	RPS DN Class	0.29	0.08	0.003
						Intimal Fibrosis	0.46	0.08	0.0001
						Foot Process Effacement (%)	0.36	0.003	0.0001
UPCR Fold Change (/y)	Unadjusted model
	0.18 (0.61)	10.84	0.001	0.15 (0.16)	0.34	Mesangial Hyaline	0.42	0.07	0.001
	0.18 (0.61)	10.84	0.001	0.15 (0.16)	0.34	KW Nodules (0:NO, 1:Yes)	−0.25	0.18	0.03
	Adjusted model^a
	0.37 (0.54)	18.89	0.0001	0.1 (0.1)	0.32	Mesangial Hyaline	0.41	0.06	0.0001
	0.37 (0.54)	18.89	0.0001	0.1 (0.1)	0.32	UPCR-Baseline (mg/g)	−0.49	0.1	0.0001

eGFR, estimated glomerular filtration rate; KW, Kimmelstiel-Wilson Nodule; RPS DN Class, Renal Pathology Society diabetic nephropathy class; SE, standard error; UPCR, urine protein to creatinine ratio.

All 20 pathological variables were included as independent predictors to the models; then the best fit model was calculated in a stepwise manner. In adjusted models, demographic and baseline characteristics were included in addition to pathological features.

Adjusted in terms of age, gender, race, HbA1C, duration of diabetes mellitus and baseline clinical parameters (eGFR-baseline and UPCR-baseline).