Table 4. Performance of the long-term outcome prediction models.
Calibration (HL test) | Discrimination | |||||
---|---|---|---|---|---|---|
Models | C & S R2 | N R2 | Sen | Spec | Youden | AUROC |
Predict Unfavorable/Favorable | ||||||
Age, GCS ≦ 8 | 0.32 | 0.45 | 0.77 | 0.76 | 0.53 | 0.81 |
Age, GCS ≦ 8, SDNN, RMSSD, Ln(TP), Ln(VLF), Ln(LF), Ln(HF) | 0.42 | 0.58 | 0.89 | 0.78 | 0.67 | 0.91 |
Predict Dead/Alive | ||||||
Age, GCS ≦ 8 | 0.20 | 0.29 | 0.55 | 0.85 | 0.40 | 0.74 |
Age, GCS ≦ 8, SDNN, RMSSD, Ln(TP), Ln(VLF), Ln(LF), Ln(HF) | 0.33 | 0.48 | 0.76 | 0.82 | 0.56 | 0.86 |
HL test: Hosmer-Lemeshow goodness of fit test; C & S R2: Cox and Snell R2; N R2: Nagelkerke R2; Sen: Sensitivity; Spec: specificity; AUROC: area under receiver operating characteristic curve