Antibiotic co-resistance phenotypes as predictors of methicillin resistance in Staphylococcus aureus: a multi-study analysis of transportability, lineage dependence and model explanations
Methicillin-resistant Staphylococcus aureus (MRSA) frequently carries resistance to non-beta-lactam antibiotics, but it is unclear how reproducibly non-beta-lactam susceptibility profiles indicate methicillin status across settings. We retrieved all laboratory-derived S. aureus susceptibility records in the BV-BRC database (45,876 records) and analysed 2,245 isolates (660 MRSA) from six studies that sampled both MRSA and methicillin-susceptible S. aureus. Using six non-beta-lactam phenotypes, we estimated study- and lineage-stratified associations and a co-resistance gradient. We compared a ciprofloxacin-only rule with logistic regression and XGBoost under leave-one-study-out validation, and compared SHAP attributions with label-based importance measures. Ciprofloxacin, erythromycin and clindamycin resistance were positively associated with MRSA in every study in which an association could be estimated (study-adjusted odds ratios 13.4, 10.4 and 8.8). However, effect sizes were highly heterogeneous (I² 93–98%) and fell by 40–62% after stratification by sequence type. Within three of the five evaluable sequence types, ciprofloxacin was uninformative. Pooled cross-validation was misleading: XGBoost reached an AUC of 0.94, and a model given only which antibiotics had been tested reached 0.69. In held-out studies, AUC ranged from 0.50 to 1.00. Wherever ciprofloxacin had been tested, the multivariable models did not consistently outperform ciprofloxacin alone, and their predicted probabilities were poorly calibrated. SHAP ranked ciprofloxacin first, in agreement with model-free measures, but lower ranks changed with the training data and partly reflected testing practice. Co-resistance phenotypes are markers of locally prevalent MRSA lineages rather than transportable predictors of methicillin resistance, and they cannot substitute for cefoxitin testing.
Authors
- Ryan Yi Sheng Neo (ORCID: https://orcid.org/0009-0006-8002-4281)
Publication Details
- Published
- 2026-10-26
- DOI
- https://doi.org/10.1099/acmi.0.001197.v2
- Primary Topic
- Antimicrobial Resistance in Staphylococcus
- Type
- preprint