. Author manuscript; available in PMC: 2011 Aug 1.

Published in final edited form as: Am J Kidney Dis. 2010 Jun 19;56(2):289–302. doi: 10.1053/j.ajkd.2010.03.012

Table 3.

Correlations between eGFR_MDRD-AI and eGFR_SCysC

	No. of Participants	Correlation ± SE^a
All participants	245	0.449 ± 0.05
Age
Younger	123	0.479 ± 0.07
Older	122	0.405 ± 0.08
Sex
Female	135	0.431 ± 0.05
Male	110	0.494 ± 0.05
Diabetes status
Diabetic	52	Not computable^b
Nondiabetic	193	0.407 ± 0.06

Note: eGFR_MDRD-AI was calculated in milliliters per minute per 1.73 m² using the 4-variable MDRD (Modification of Diet and Renal Disease) Study equation modified for American Indians⁴²: 186 × ([SCr]^−1.154) × (age^−0.203) × 0.742 [if female] × 1.106. eGFR_SCysC was calculated in milliliters per minute per 1.73 m² as: 33.7 + (−0.047 × age) + (68.4/SCysC).

Abbreviations: eGFR, estimated glomerular filtration rate; SCr, serum creatinine; SCysC, serum cystatin C; SE, standard error.

All correlations, P < 0.05.

Correlations between eGFR_MDRD-AI and eGFR_SCysC in diabetic participants could not be computed due to small sample size (n = 52).