A mathematical model was developed to study Klebsiella pneumoniae resistance to amikacin and gentamicin, accurately predicting sensitivity changes over time.
The study spanned six years, analyzing 2,677 cultures; it revealed a significant drop in sensitivity: from 85.7% to 33.3% for amikacin and from 40.8% to 27.8% for gentamicin.
This modeling approach could potentially be applied to investigate antibiotic resistance patterns in other bacterial species.