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肺炎克雷伯菌对阿米卡星和庆大霉素耐药性的数学模型

Mathematical model of Klebsiella pneumoniae resistance to amikacin and gentamicin.

作者信息

Nicolelis M A, Massad E, Hutzler R U, Engel A, Rodrigues E, Bazzone J C, Tomida M

机构信息

Departamento de Patologia e Hospital das Clínicas, Faculdade de Medicina, Universìdade de São Paulo, Brasil.

出版信息

Braz J Med Biol Res. 1987;20(1):35-41.

PMID:3318975
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.
摘要
  1. 通过数学模型研究了肺炎克雷伯菌对阿米卡星和庆大霉素的耐药性,以预测敏感性降低的速率。结果与实验数据精确匹配,表明该模型是一种可靠的预测工具。2. 观察持续了六年,包括2677份肺炎克雷伯菌阳性培养物。在观察期开始时,85.7%的培养物对阿米卡星敏感,40.8%对庆大霉素敏感。对阿米卡星的敏感性下降得惊人地快;在实验期结束时,阿米卡星和庆大霉素的敏感性分别为33.3%和27.8%。3. 我们得出结论,其他细菌的耐药模式可以用这种方法进行研究。

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