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. Author manuscript; available in PMC: 2014 Sep 1.
Published in final edited form as: J Card Fail. 2013 Sep;19(9):621–628. doi: 10.1016/j.cardfail.2013.07.004

Table 3.

Spearman's correlation between urinary biomarkers and estimates of glomerular filtration rate

Serum Cr eGFRCr Serum Cystatin C eGFRCysC

NGAL ρ=0.17 ρ=−0.22 ρ=0.28 ρ=−0.28
p=0.122 p=0.048 p=0.012 p=0.012
NGAL/Cr ρ=0.27 ρ=−0.28 ρ=0.26 ρ=−0.26
p=0.015 p=0.009 p=0.023 p=0.022
KIM-1 ρ=−0.03 ρ=−0.01 ρ=0.07 ρ=−0.08
p=0.790 p=0.925 p=0.523 p=0.467
KIM-1/Cr ρ=−0.21 ρ=0.19 ρ=−0.15 ρ=0.14
p=0.055 p=0.078 p=0.190 p=0.207
IL-18 ρ=−0.26 ρ=0.23 ρ=−0.15 ρ=0.15
p=0.020 p=0.040 p=0.198 p=0.192
IL-18/Cr ρ=−0.19 ρ=0.14 ρ=−0.01 ρ=0.01
p=0.080 p=0.224 p=0.925 p=0.909

Cr, serum creatinine; IL-18, interleukin-18; KIM-1, kidney injury molecule-1; NGAL, neutrophil gelatinase-associated lipocalin