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Table 3 Performance of models and derived risk scores

From: Predicting resistance as indicator for need to switch from first-line antiretroviral therapy among patients with elevated viral loads: development of a risk score algorithm

Predictor

Model with baseline VL (n = 290)

Model without baseline VL (n = 290)

Model without baseline VL or CD4 (n = 260)

Cutoff

Sensitivity

Specificity

Cutoff

Sensitivity

Specificity

Cutoff

Sensitivity

Specificity

Unrestricted (RLS & non-RLS)

         

 Modela

0.657

22.7 %

98.1 %

0.640

22.7 %

97.2 %

0.741

13.4 %

98.4 %

 Weighted risk score

≥9

28.0 %

96.7 %

≥9

16.0 %

98.6 %

≥9

14.7 %

98.1 %

Restricted (RLS only)

         

 Modela

0.653

28.0 %

97.2 %

0.697

18.7 %

98.1 %

0.691

14.9 %

98.4 %

 Weighted risk score

≥9

26.0 %

97.4 %

≥9

10.0 %

99.5 %

≥9

14.0 %

99.5 %

  1. aCutoff values for the models are thresholds derived by summing the beta coefficients and converting to a probability RLS, resource-limited setting; VL, viral load