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. 2019 Feb 4;9:1271. doi: 10.1038/s41598-018-37503-9

Table 1.

Optimal upper and lower bounds of zone diameter for predicting antibiotic resistance genotype from disk diffusion phenotype in our dataset.

Antibiotic Lower Bound (mm) Upper Bound (mm) Positive Predictive Value for genotype* Resistance genotype
Oxacillin 16.5 22.5 0.98 mecA+
Ampicillin 17.5 17.5 0.9 mecA+
Amoxycillin 20.5 20.5 0.97 mecA+
Amoxycillin + clavulanate 28.5 28.5 0.82 mecA+
Cephalexin 22.5 26.5 0.97 mecA+
Cefpodoxime 20.5 25.5 0.98 mecA+
Cefovecin 25.5 29.5 0.97 mecA+
Oxytetracycline 11.5 27 1 (S = 1, n = 12) tetM+
Doxycycline 17.5 28 1 (S = 1, n = 12) tetM+
Ciprofloxacin 11.5 28.5 1 (S = 1, n = 16) GyrA 84 L and Glr 80I
Enrofloxacin 12.5 25 1 (S = 1, n = 16) GyrA 84 L and Glr 80I
Trimethoprim 5.5 19.5 1 (S = 1, n = 19) dfrG+
Clindamycin 19 25 1 (S = 0.94, n = 18) ermB+
Chloramphenicol 10.5 23.5 1 (S = 1, n = 15) cat(pC221)+
Gentamicin 18.5 23 1 (S = 1, n = 18) aac(6)/aph(2) + **

*For non-beta-lactam class antibiotics, positive predictive values are calculated for the 29 isolates which had genomes sequenced as part of this study. The sensitivity (S) of the test and the number (n) of resistance gene-containing genomes is shown in parentheses.

**Gentamicin resistance is also associated with genes aphIII and antIV in the sequenced NZ isolates.