Table 3.

Statistical models that predict time to remission

Survival ModelPrognostic Factorsa
Proteinuria (g/d)Race and EthnicityAdjunctive Immunosuppressive Treatmentd
1. Clinical and demographic predictors identified by univariate survival analysis
    coefficientb0.980−0.671
    Pc0.0100.100
2. Treatment and proteinuria (independent clinical predictor identified in model 1)
    coefficientb1.075−1.252
    Pc0.0030.002
  • a Variables in the model are categorized as shown in Table 2. Values of each variable are assigned to one of two levels (0 and 1); proteinuria >5 g/d, non-Hispanic white patients, and adjunctive immunosuppressive treatment (prednisone combined with IVCY or CsA) were each designated level 1.

  • b Estimated regression coefficients in the Weibull survival model; a negative coefficient indicates that level 1 of the variable (e.g., adjunctive immunosuppressive treatment) is associated with a relatively short time to remission.

  • c P value of the likelihood ratio test that evaluates the impact on outcome predictions of eliminating each variable from the model. Prognostic factors that significantly (P < 0.05) enhance the prediction of remission remain in the model.

  • d Prognostic impact of adjunctive immunosuppressive treatment (IVCY or CsA) compared with prednisone alone. Concurrent angiotensin antagonist therapy is not an independent predictor of remission in this study and is not included in this model.