Table 3.
Performance of Genotype-Based Prediction of Susceptibility Calculated Using Previously Published Regression EquationsS Compared to the Phenotypic Susceptibility in a Collection of Neisseria gonorrhoeae Isolates From 5 Countries (N = 457)a
| Antimicrobial | MIC Breakpoint, μg/mL | TP | FP | TN | FN | PPV, % | |
|---|---|---|---|---|---|---|---|
| Est | LCLb | ||||||
| Ciprofloxacin | ≤0.06 | 104 | 0 | 353 | 0 | 100 | 97.2 |
| ≤0.5 | 130 | 57 | 268 | 2 | 69.5 | 63.5 | |
| Cefixime | ≤0.06 | 255 | 104 | 29 | 67 | 71.0 | 66.8 |
| ≤0.125 | 370 | 83 | 1 | 1 | 81.7 | 78.4 | |
| ≤0.25 | 436 | 19 | 0 | 0 | 95.8 | 93.9 | |
| Ceftriaxone | ≤0.06 | 260 | 2 | 33 | 160 | 99.2 | 97.6 |
| ≤0.125 | 366 | 5 | 4 | 80 | 98.7 | 97.2 | |
| ≤0.25 | 449 | 5 | 0 | 1 | 98.9 | 97.7 | |
| Azithromycin | ≤0.5 | 409 | 5 | 9 | 30 | 98.8 | 97.5 |
| ≤1 | 437 | 2 | 5 | 9 | 99.5 | 98.6 | |
| Penicillin | ≤ 0.06 | 0 | 0 | 442 | 13 | … | … |
| ≤1 | 110 | 3 | 241 | 101 | 97.3 | 93.3 | |
| Tetracycline | ≤0.06 | 0 | 0 | 434 | 19 | … | … |
| ≤1 | 19 | 0 | 289 | 145 | 100 | 85.4 | |
Abbreviations: FN, false-negative; FP, false-positive; LCL, lower confidence limit for 95% confidence interval; MIC, minimum inhibitory concentration; TN, true-negative; TP, true-positive.
Susceptibility predictions were based on regression equations from Demczuk et al [44] and were compared with phenotypically measured susceptibility.
LCL based on 1-sided 95% Clopper-Pearson confidence interval.