Predictive values of the HbF for probability of
responders
Basing on the results of parameters analysis above, we demonstrated the
predictive performance of the HbF at different stage in predicting
probability of responders by the ROC curves. The AUC was 0.806for the
HbFat the third month of treatmentin predicting probability of major
responders at the sixth month treatment (as shown in Figure 3 ).
Based on Youden’s index algorithm in the ROC curve, 47.298 g·L-1 was the
optimal cut-off value of theHbFat the third month of treatment in
predicting major responders at the sixth month treatment, with
sensitivity of 67.5%, specificity of 93.3% (as shown in Table
4 ).