Table 3.
Binary logistic regression model evaluating the prevalence of the pic gene and ampicillin resistance as a putative method for AIEC identification.
| EQUATION VALUES | ||||
|---|---|---|---|---|
| B | p-value | Odds ratio | 95% CI | |
| pic gene | 1.579 | 0.033 | 4.851 | 1.140–20.638 |
| Ampicillin resistance | 1.657 | 0.018 | 5.244 | 1.325–20.757 |
| Constant | -1.974 | 0.020 | 0.139 | |
| PREDICTED | ||||
| OBSERVED | non-AIEC | AIEC | % Correct | Global% |
| Non-AIEC | 18 | 9 | 66.7 | 75.5 |
| AIEC | 3 | 19 | 86.4 | |
| PROBABILITY TO BE AIEC | ||||
| pic positive (%) | pic negative (%) | |||
| Ampicillin Resistant | 87.81 | 59.76 | ||
| Ampicillin Sensitive | 57.87 | 22.07 | ||