Table III.

Step-wise backwards multivariable linear and logistic regression modeling to assess the relationship between eGFR, ON-Marg summary score, and other variables of interest

Variables	Linear regression Zappitelli eGFR (mL/min/1.73 m2)				Logistic regression NF vs HF
	β	SE	P	Adj R2	β	SE	P	Adj R2
Intercept	114.3	13.6	<.0001	—	−3.09	1.88	.1001	—
Age at baseline	−2.4	0.7	.00083	0.04	−0.20	0.10	.047	0.016
Sex [female]	11.0	2.4	<.0001	0.074	0.90	0.39	.0082	0.03
BMI z score	−4.0	1.4	.0034	0.03	—	—	—	—
Ethnicity [nonwhite]	7.3	2.5	.0033	0.03	0.67	0.34	.047	0.015
Glucose, mmol/L	0.8	0.3	.0027	0.03	0.09	0.04	.025	0.02
HbA1c, %	1.3	1.0	.174	0.003	0.25	0.13	.062	0.014
ON-Marg	6.1	1.6	.00029	0.04	0.54	0.22	.017	0.022
Adjusted R2	0.278				0.1406

Continuous eGFR_Zappitelli was used for the linear model whereas the logistic model compared subjects with normofiltration (n = 127; eGFR_Zappitelli < 126.8 mL/min/1.73 m²) with those with hyperfiltration (n = 72; eGFR_Zappitelli ≥ 126.8 mL/min/1.73 m²).