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. 2021 Jun 25;87(14):e02980-20. doi: 10.1128/AEM.02980-20

TABLE 2.

The results of multilevel logistic regression models examining the associations between processing stage and season on the odds of samples having transconjugants that have ESC, ESBL, and non-ESBL phenotypesa

Stratification parameters ESCb
ESBLc
Non-ESBLd
OR 95% CI P value OR 95% CI P value OR 95% CI P value
Processing stage
    Digested Referent Referent Referent
    Raw 9.05 2.12, 38.69 0.003 3.53 1.16, 10.73 0.026 2.52 0.97, 6.54 0.057
Variance components Variance (VPCe) 95% CI Variance (VPCe) 95% CI Variance (VPCe) 95% CI
    Farm 1.38 (15.3%) 0.10, 18.24 3.80 (34.0%) 0.56, 26.03 1.40 (28.9%) 0.23, 8.44
    Farm on date of sampling 4.33 (48.1%) 0.91, 20.58 4.08 (36.5%) 1.01, 16.53 0.16 (3.3%) 5.25 × 10−6, 4.98 × 103
a

Phenotypes of transconjugants were determined by ESBL confirmation assay and binned into either ESBL or non-ESBL phenotypes. OR, odds ratio.

b

ESC, samples yielding transconjugants of any phenotypes: ESBL, non-ESBL, or both.

c

ESBL, samples yielding ESBL phenotype transconjugants.

d

Non-ESBL, samples yielding non-ESBL phenotype transconjugants.

e

Variance partition coefficients (VPC) estimated using the latent variable technique.