Table 3 XGBoost performance on test set data for predicting 30-day primary and secondary outcomes following lower extremity open revascularization using pre-operative features.
From: Predicting outcomes following lower extremity open revascularization using machine learning
AUROC (95% CI) | Accuracy (95% CI) | Sensitivity | Specificity | PPV | NPV | |
|---|---|---|---|---|---|---|
MALE or death | 0.93 (0.92–0.94) | 0.86 (0.85–0.87) | 0.84 | 0.89 | 0.90 | 0.83 |
Untreated loss of patency | 0.90 (0.89–0.91) | 0.83 (0.81–0.84) | 0.81 | 0.85 | 0.86 | 0.79 |
Major reintervention | 0.91 (0.89–0.93) | 0.84 (0.82–0.86) | 0.83 | 0.85 | 0.87 | 0.80 |
Major amputation | 0.95 (0.94–0.96) | 0.88 (0.87–0.89) | 0.86 | 0.90 | 0.91 | 0.85 |
Death | 0.96 (0.95–0.96) | 0.89 (0.87–0.90) | 0.87 | 0.90 | 0.90 | 0.87 |
MACE | 0.93 (0.92–0.94) | 0.85 (0.84–0.86) | 0.84 | 0.86 | 0.88 | 0.85 |
Myocardial infarction | 0.88 (0.87–0.89) | 0.80 (0.79–0.82) | 0.79 | 0.81 | 0.82 | 0.78 |
Stroke | 0.91 (0.90–0.92) | 0.83 (0.81–0.84) | 0.82 | 0.84 | 0.85 | 0.80 |
Wound complication | 0.90 (0.88–0.92) | 0.82 (0.83–0.87) | 0.82 | 0.83 | 0.86 | 0.79 |
Bleeding requiring transfusion or secondary procedure | 0.92 (0.91–0.93) | 0.84 (0.82–0.85) | 0.82 | 0.86 | 0.87 | 0.81 |
Other morbidity | 0.91 (0.89–0.92) | 0.82 (0.81–0.84) | 0.81 | 0.84 | 0.85 | 0.79 |
Non-home discharge | 0.95 (0.95–0.96) | 0.89 (0.88–0.90) | 0.86 | 0.92 | 0.92 | 0.85 |
Unplanned readmission | 0.87 (0.86–0.89) | 0.80 (0.78–0.82) | 0.80 | 0.77 | 0.77 | 0.81 |