The Antimicrobial Resistance Surveillance Reference Laboratory (ARSRL) researchers joined the international KlebNET-GSP consortium in a new preprint that develops and externally validates a rules-based classifier to predict ciprofloxacin resistance in the Klebsiella pneumoniae species complex from whole-genome data. Built on 12,167 isolates across 27 countries and validated on 7,030 more, the approach (implemented in Kleborate and available via Pathogenwatch) achieved >96% internal agreement and ~93% agreement on external datasets. The study also charts the global spread of resistance determinants in 31,319 public genomes and links higher national quinolone consumption with higher predicted resistance. The authors conclude that genotype-based prediction is robust for surveillance, while current accuracy is not yet sufficient for clinical decision-making.

Click on this link, https://www.biorxiv.org/content/10.1101/2025.09.24.678318v1 for the full text article.