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. 2017 Sep 7;12(10):1615–1623. doi: 10.2215/CJN.02510317

Table 5.

Linear regression model predicting eGFR changes (in milliliters per minute) in patients with stage 3 CKD (n=56) over the study period

Predictors of eGFR Changes Univariate Model Multivariable Model
β (95% CI) P Value β (95% CI) P Value
Age, per 10 yr −0.06 (−2.8 to 2.7) 0.97 0.81 (−1.9 to 3.5) 0.56
Sex, men versus women 1.6 (−4.2 to 7.4) 0.58 −0.27 (−6.2 to 5.6) 0.93
Race, white versus nonwhite 2.6 (−2.6 to 7.9) 0.32 0.54 (−4.7 to 5.8) 0.84
Diabetes versus nondiabetic −6.9 (−11 to −2.1) <0.01 −8.0 (−13 to −2.7) 0.004
Cirrhosis versus noncirrhotic −1.1 (−6.4 to 4.3) 0.69 −0.74 (−6.3 to 4.8) 0.79
Hypertension versus normotensive −3.9 (−11 to 3.3) 0.29 −3.3 (−10.7 to 4.1) 0.37
Baseline eGFR, per 10-ml/min increase in eGFR −0.05 (−3.1 to 3.0) 0.97 −1.5 (−4.8 to 1.7) 0.34
Achieving sustained virologic response 6.4 (−2.5 to 15.2) 0.15 9.3 (0.44 to 18) 0.04

Model constructed to predict change in eGFR in milliliters per minute from baseline to 6-month follow-up period. Post-treatment follow-up eGFR is missing from n=2 patients with baseline eGFR ≥60 ml/min per 1.73 m2 and n=1 patient with baseline eGFR <60 ml/min per 1.73 m2. 95% CI, 95% confidence interval.