. Author manuscript; available in PMC: 2018 Sep 1.

Published in final edited form as: Am J Kidney Dis. 2017 May 24;70(3):406–414. doi: 10.1053/j.ajkd.2017.03.021

Table 2.

Unadjusted residual associations of age, sex, and ethnicity with eGFR based on each of the four filtration markers in AGES-Kidney and MESA-Kidney

Factor	IQR	Residual risk associations after accounting for mGFR
Factor	IQR	eGFR_cr	eGFR_cys	eGFR_B2M	eGFR_BTP
AGES-Kidney (N=683)
Age (year)	5	6.5 (4.5, 8.4)	2.1 (0.6, 3.6)^*	2.9 (1.3, 4.5)^*	3.2 (1.5, 4.9)^*
Female (vs. Male)	-	22.8 (20.4, 25.3)	7.1 (5.0, 9.3)^*	6.1 (3.7, 8.4)^*	9.6 (7.1, 12.2)^*
Black (vs. not Black)	NA	-	-	-	-
MESA-Kidney (N=275)
Age (year)	15	16.7 (12.6, 20.8)	5.3 (2.1, 8.6)^*	7.1 (3.8, 10.5) ^*	7.4 (3.7, 11.1)^*
Female (vs. Male)	-	25.9 (21.5, 30.4)	14.0 (10.5, 17.5)^*	10.2 (6.4, 14.0)^*	16.1 (11.8, 20.3)^*
Black (vs. not Black)	-	−7.9 (−13.2, −2.5)	0.8 (−3.1, 4.7)^*	3.8 (−0.2, 7.8) ^*	2.8 (−1.9, 7.5)^*

Note: Unadjusted residual associations estimated using stacked generalized estimating equations. Creatinine, cystatin C, BTP, and B2M were transformed to the eGFR scale using study- specific equations based on each serum filtration marker. Associations can be interpreted as a percent difference since mGFR and eGFR are expressed as natural log transformations.

Residual association vs. residual association for eGFRcr p<0.05