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. 2015 Apr 29;10(4):e0124139. doi: 10.1371/journal.pone.0124139

Table 3. Univariate and multivariable linear regression model predicting change in eGFR over one year follow-up.

Univariate Model Multivariable Model
Predictors of change in eGFR at one year (ml/min/1.73m2 difference from baseline) β Coefficient (95% CI) P value β Coefficient (95% CI) P value
Age, per 10 years 0.40 (-3.33, 4.20) 0.82 -0.64 (-5.12, 3.84) 0.77
Sex (male versus female) -0.86 (-6.97,5.20) 0.78 2.5 (-3.48, 8.53) 0.4
Diabetes (versus non-diabetic) -10.13 (-17.47, -2.79) 0.008 -6.09 (-13.45, 1.27) 0.1
Cirrhosis (versus non-cirrhotic) -5.67 (-11.43, -0.99) 0.05 -4.21 (-10.58, 2.15) 0.19
HIV coinfection 4.46 (-3.90, 12.83) 0.29 5.19 (-3.42, 13.82) 0.23
Baseline eGFR, per 10ml/min increase -2.19 (-3.72, -0.66) 0.006 -1.18 (-3.70, 0.15) 0.071
Significant creatinine rise during telaprevir -6.65 (-29.74, -3.25) 0.02 -6.31 (-12.08, -0.53) 0.03

Abbreviations: HIV = human immunodeficiency virus, eGFR = estimated glomerular filtration rate