Table 5.
Statistical comparison of reported model performance metrics, by postoperative predictions/management applications.
| Postoperative prediction/management applications | Performance metrics: mean (SD, n) |
|||
|---|---|---|---|---|
| AUC | Accuracy | Sensitivity | Specificity | |
| 1. Adverse event/other complication | 0.84 (0.1, 14) | — | 97.7 (—, 1) | 99.5 (—, 1) |
| 2. Cardiovascular complication | 0.77 (0.08, 8) | — | — | — |
| 3. Postoperative pain | 0.83 (0.05, 10) | 78.8 (2.2, 7) | 78.7 (7.5, 7) | 78.8 (4.9, 7) |
| 4. Postoperative mortality | 0.81 (0.07, 3) | — | — | — |
| 5. PROs/outcomes | 0.81 (0.08, 56) | 75.1 (8.4, 12) | 76.9 (7.1, 13) | 64.9 (24, 13) |
| 6. Sustained opioid use | 0.71 (0.09, 10) | — | — | — |
| ANOVA | P = .002 | P = .279 | P = .042 | P = .167 |
| Tukey Post Hoc Tests (stat. significant results) | 6 vs 1 (P = .002) | - | 1 vs 3 (P < .001) | - |
| 6 vs 3 (P = .003) | - | 1 vs 5 (P < .001) | - | |
| 6 vs 5 (P = .011) | - | - | - | |
ANOVA, analysis of variance; AUC, area under curve; PRO, patient-reported outcome; SD, standard deviation.