Table 2.

Univariate and iGFR1-adjusted (bivariate) linear regression parameter estimates for various putative predictors of log(GFR2) (n = 360) that were evaluated for inclusion in a GFR estimation model

PredictorMissUnadjustediGFR1 Adjusted
Estimate (SE)Explained Variability (%)Estimate (SE)Explained Variability (%)
log(iGFR1)00.95 (0.03)a68
Δ log(ht/SCr)00.71 (0.08)a200.52 (0.04)a30
Δ log(BUN)0−0.23 (0.07)a3−0.18 (0.04)a6
Δ log(albumin)21−0.64 (0.29)b1−0.77 (0.16)a6
log(age2)1−0.15 (0.05)b3−0.11 (0.03)a5
log(ht2)0−0.27 (0.11)b2−0.29 (0.06)a5
log(BSA2)0−0.08 (0.06)1−0.15 (0.03)a5
log(weight2)0−0.05 (0.04)<1−0.10 (0.02)a5
Δ log(phosphate)29−0.38 (0.14)b2−0.25 (0.08)b3
Δ log(calcium)21−0.72 (0.39)1−0.66 (0.22)b3
Glomerular diagnosis3−0.02 (0.05)<1−0.09 (0.03)b2
Male gender0−0.01 (0.04)<1−0.03 (0.03)1
Δ log(glucose)210.03 (0.11)<10.08 (0.06)1
Δ log(proteinuria)42−0.01 (0.03)<10.00 (0.02)1
White race0−0.10 (0.05)10.03 (0.03)<1
Δ log(hemoglobin)320.19 (0.22)<10.00 (0.12)<1
Δ log(potassium)28−0.01 (0.17)<1−0.09 (0.10)<1
Δ log(systolic BP)350.22 (0.20)<1−0.02 (0.12)<1
Δ log(hematocrit)320.11 (0.21)<10.06 (0.12)<1
Δ log(CO2)230.60 (0.12)<10.03 (0.07)<1
Δ log(sodium)21−0.83 (1.11)<10.04 (0.63)<1
  • Δ = log(X2) − log(X1) = log(X2/X1); GFR given in ml/min per 1.73 m2.

  • a P < 0.001.

  • b P ≥0.001 and < 0.05.