Table 3a.

Logistic regression analysis with variables available for predicting renal recovery and model accuracy after combining variables: Clinical model alone

Clinical VariablesOR (95% CI)ModelAUC (95% CI)P
Age0.95 (0.92 to 0.98)A0.73 (0.61 to 0.84)
Charlson comorbidity index0.86 (0.72 to 1.01)B0.69 (0.56 to 0.82)
APACHE II0.94 (0.87 to 1.01)C0.63 (0.50 to 0.76)
M1 = A + B0.74 (0.62 to 0.87)0.78a
M2 = A + B + C0.74 (0.61 to 0.87)0.70b
  • OR, odds ratio; AUC, area under the curve; CI, confidence interval; APACHE II, Acute Physiology and Chronic Health Evaluation II. A,B,C: Univariate models; M1 and M2: Multivariate models.

  • a Compared with age;

  • b Compared with M1 model.