TABLE 4.
Classification of clinical isolates when using the ML-based MCA method.
| Target | N | TP | TN a | FP | FN | SEN (%) | SPE (%) | Accuracy (CI) |
|---|---|---|---|---|---|---|---|---|
| blaIMP | 45 | 45 | 32 | 0 | 0 | 100.0 | 100.0 | 100.0% (95.32–100.00%) |
| blaKPC | 9 | 8 | 32 | 1 b | 0 | 100.0 | 96.97 | 97.56% (87.14–99.94%) |
| blaNDM | 74 | 54 | 32 | 20 c | 0 | 100.0 | 61.54 | 81.13% (72.38–88.08%) |
| blaOXA-48 | 84 | 84 | 32 | 0 | 0 | 100.0 | 100.0 | 100.0% (96.87–100.00%) |
| blaVIM | 8 | 8 | 32 | 0 | 0 | 100.0 | 100.0 | 100.0% (91.19–100.00%) |
| blaOXA-48 and blaNDM | 1 | 1 | 32 | 0 | 0 | 100.0 | 100.0 | 100.0% (97.24–100.00) |
| Total | 221 | 200 | 32 | 21 | 0 | 100.0 | 60.38 | 91.70% (87.59 to 94.79%) |
Abbreviations-N, number of samples; TP, true Positive; TN, true negative; FP, false positive; FN, false negative; SEN, sensitivity; SPE, specificity; CI, confidence interval.
a
A total 32 negatives samples are considered across all the groups for sensitivity, specificity and accuracy calculation.
b
This isolate was misclassified as blaNDM and blaKPC double infection.
c
These isolates were misclassified as blaNDM and blaKPC double infections.