Table 4.
Multivariate logistic regression models for the association among AMR genes in V. parahaemolyticus.
| Model | Predictor | Parameters | ORa | S.E.b | 95% C.I.c | P-value | AICd |
|---|---|---|---|---|---|---|---|
| 1 | bla TEM | strB constant | 10.82 0.002 | 12.14 0.002 | 1.20–95.52 0.0–0.02 | 0.034 <0.0001 | 55.69 |
| 2 | qnr | strB constant | 1.62 3.10 | 0.39 0.35 | 1.02–2.59 2.49–3.87 | 0.043 <0.0001 | 628.94 |
| 3 | strB | tet(A) blaTEMqnr constant | 1.72 12.75 1.63 0.22 | 0.37 14.5 0.40 0.05 | 1.14–2.62 1.37–118.33 1.01–2.62 0.14–0.34 | 0.010 0.025 0.044 <0.0001 | 688.74 |
| 4 | sul2 | tet(A) constant | 2.65 0.13 | 0.65 0.02 | 1.64–4.30 0.10–0.18 | <0.0001 <0.0001 | 487.52 |
| 5 | tet(A) | strB sul2 constant | 1.68 2.57 0.20 | 0.36 0.64 0.03 | 1.11–2.56 1.58–4.12 0.16–0.26 | 0.015 <0.0001 <0.0001 | 612.18 |
a
OR, odds ratio; bS.E., standard error; cC.I., confidence interval; dAIC, Akaike information criterion.