Table 4.

Age-sex-adjusted residual risk factor associations with eGFR after accounting for mGFR

	Model 1						Model 2
	eGFRCr		eGFRCr-CysC		eGFRCysC		eGFRCr		eGFRCr-CysC		eGFRCysC
Risk Factor	Beta (%)	P-value	Beta (%)	P-value	Beta (%)	P-Value	Beta (%)	P-value	Beta (%)	P-value	Beta (%)	P-Value
Body mass index per SD	−0.3	0.60	−3.3	<.001	−5.5	<.001	−1.3	0.004	−4.5	<.0001	−6.8	<.001
24-h urine albumin per SD	0.5	0.31	−1.8	0.13	−2.1	<.001	−1.0	0.04	−2.2	<.0001	−3.2	<.001
24-h urine creatinine per SD	−4.2	<.001	−3.3	<.001	0.3	0.63	−3.9	<.001	−2.4	0.002	−0.5	0.59
Log urine albumin to creatinine	0.1	0.86	−2.3	<.001	−4.2	<.001	−1.9	<.001	−3.7	<.0001	−5.0	<.001
ratio (UACR) per SD
UACR ≥ 30 mg/g	−1.1	0.65	−7.1	<.001	−11.9	<.001	−5.1	0.003	−10.3	<.0001	−14.3	<.001
Hypertension	1.4	0.27	−3.2	0.009	−6.8	<.001	−2.7	0.007	−5.9	<.0001	−8.5	<.001
Diabetes	−1.0	0.62	−4.8	0.01	−7.4	0.002	−7.9	<.001	−10.4	<.0001	−12.1	<.001
Smoker	−1.0	0.69	−1.5	0.53	−2.0	0.45	0.1	0.97	−2.0	0.32	−3.8	0.14
High-density lipoprotein	0.5	0.47	2.1	<.001	3.0	<.001	2.2	<.001	4.2	<.0001	5.7	<.001
cholesterol per SD
Log Triglyceride per SD	0.5	0.43	−1.4	0.01	−2.6	<.001	−1.8	<.001	−3.4	<.0001	−4.5	<.001
Log C-reactive protein per SD	0.1	0.82	−2.0	<.001	−3.7	<.001	−0.8	0.07	−3.0	<.0001	−4.7	<.001
Uric Acid per SD	1.4	0.05	−1.0	0.11	−2.2	0.004	−4.7	<.001	−6.9	<.0001	−8.2	<.001

Model 1 uses generalized estimating equations with eGFR and mGFR as a stacked dependent variables regressed on each CKD risk factor to compare the difference in eGFR and mGFR regression coefficients. Statistical significance determined by the statistical interaction between each CKD risk factor with eGFR relative to mGFR.

Model 2 uses standard linear regression to regress eGFR on each CKD risk factor with mGFR as a covariate. To the extent mGFR is imprecise, residual associations will be will be biased compared to Model 1.