期刊
PATHOGENS
卷 10, 期 2, 页码 -出版社
MDPI
DOI: 10.3390/pathogens10020165
关键词
minimal inhibitory concentration; antibiotics; dilution and gradient methods; interpretation of results; the importance of MIC value
类别
资金
- Medical University [SUB.D230.20.002]
The inefficiency of medical therapies for curing patients with bacterial infections calls for active search for new therapeutic strategies and careful selection of antibiotics based on various parameters including microbiological considerations. Proper assessment of Minimal Inhibitory Concentration (MIC) is crucial for optimizing treatment strategies and ensuring the effectiveness of infection therapy. This paper discusses methods for MIC estimation, factors influencing MIC results, and possibilities of utilizing MIC in clinical practice with consideration of pharmacokinetic/pharmacodynamic parameters.
Inefficiency of medical therapies used in order to cure patients with bacterial infections requires not only to actively look for new therapeutic strategies but also to carefully select antibiotics based on variety of parameters, including microbiological. Minimal inhibitory concentration (MIC) defines in vitro levels of susceptibility or resistance of specific bacterial strains to applied antibiotic. Reliable assessment of MIC has a significant impact on the choice of a therapeutic strategy, which affects efficiency of an infection therapy. In order to obtain credible MIC, many elements must be considered, such as proper method choice, adherence to labeling rules, and competent interpretation of the results. In this paper, two methods have been discussed: dilution and gradient used for MIC estimation. Factors which affect MIC results along with the interpretation guidelines have been described. Furthermore, opportunities to utilize MIC in clinical practice, with pharmacokinetic/pharmacodynamic parameters taken into consideration, have been investigated. Due to problems related to PK determination in individual patients, statistical estimation of the possibility of achievement of the PK/PD index, based on the Monte Carlo, was discussed. In order to provide comprehensive insights, the possible limitations of MIC, which scientists are aware of, have been outlined.
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