AI Article Synopsis
- 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.
Article Abstract
1. The resistance of Klebsiella pneumoniae to amikacin and gentamicin was studied by a mathematical model to predict the rate of sensitivity decrease. The results accurately matched experimental data, showing that the model is a reliable predicting tool. 2. The observations were carried out over six years and included 2677 cultures that were positive for K. pneumoniae. At the beginning of the observation period, 85.7% of the cultures were sensitive to amikacin and 40.8% were sensitive to gentamicin. Sensitivity to amikacin showed a surprisingly rapid decrease; at the end of the experimental period, amikacin and gentamicin sensitivities were 33.3% and 27.8%, respectively. 3. We conclude that patterns of resistance of other bacteria could be investigated using this method.
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