| | TP | FP | FN | TN | | Sensitivity, % (95%CI) | Specificity, % (95%CI) | PPV, % (95%CI) | NPV, % (95%CI) | % workload reduction |
|---|
Original algorithma | 34 | 25 | 7 | 159 | | 82.9 (68.7–91.5) | 86.4 (80.7–90.6) | 57.6 (44.9–69.4) | 95.8 (91.6–97.9) | 73.7 |
Adapted algorithm b | 40 | 56 | 1 | 128 | | 97.6 (87.4–99.6) | 69.6 (62.6–75.8) | 41.7 (32.3–51.7) | 99.2 (95.7–99.9) | 57.3 |
- ECDC: European Centre for Disease Prevention and Control; TP: true positive; FP: false positive; FN: false negative; TN: true negative; PPV: positive predictive value; NPV: negative predictive value. aOriginal classification algorithm of van Rooden et al. [8]: high or low probability of having a deep surgical site infection (SSI) based on (re)admission and discharge dates, mortality, reoperations, radiology orders, antibiotic prescriptions, and microbiology cultures. bAdapted classification algorithm according to Verberk et al. [9]: high or low probability of having a deep SSI based on original algorithm without microbiology cultures component.
