Flora drug resistance strength evaluation method

A drug resistance and drug resistance technology, applied in biochemical equipment and methods, microbial measurement/testing, and resistance to vector-borne diseases, etc., can solve the problem that it is difficult to clearly grasp the drug resistance rate of the monitoring target bacterial group, lack of Unified, effective and accurate evaluation plan and other issues to achieve the effect of improving the accuracy of evaluation

Active Publication Date: 2021-02-05
浙江省动物疫病预防控制中心
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  • Claims
  • Application Information

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Problems solved by technology

[0003] However, in the process of analyzing, evaluating and using the results of bacterial resistance of animal origin, there is a lack of unified, effective and accurate evaluation schemes
Due to the large number of strains obtained and the varie

Method used

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  • Flora drug resistance strength evaluation method
  • Flora drug resistance strength evaluation method
  • Flora drug resistance strength evaluation method

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Embodiment Construction

[0022] The present invention will be further described according to the following examples, and the mode of the present invention includes but not limited to the following examples.

[0023] Such as figure 1 Shown, the present invention comprises the following steps:

[0024] The present invention comprises the following steps:

[0025] A collection and isolation of drug-resistant strains;

[0026] B detects the drug-resistant MIC value of described drug-resistant strain respectively;

[0027] C is based on the drug-resistant MIC value in the drug-resistant strains under the drug-sensitivity test monitoring concentration value, and is introduced into the drug-resistant MIC value correction and processed to obtain the drug-resistant correction value;

[0028] D take the logarithm of 10 of the drug resistance correction value to obtain the logarithmic mean of the MIC values ​​of all monitored drugs of a single bacterial strain;

[0029] E. Multiple drug-resistant strains wer...

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Abstract

The invention discloses a flora drug resistance intensity evaluation method. The flora drug resistance intensity evaluation method comprises the following steps of collecting and separating drug-resistant strains, and detecting drug-resistant MIC values of the drug-resistant strains; correcting the monitored drug-resistant MIC values; taking a logarithm of 10 from the drug resistance correction values, and solving a logarithm average value of MIC values of all monitoring drugs of a single strain; and judging the drug resistance strength of the target flora by adopting a simultaneous analysis method of the average values and the median values. By introducing the drug resistance coefficient, the drug resistance evaluation accuracy of the drug-resistant strain is improved, the antibiotic useintensity of the drug-resistant strain is quantified, and the method has a data reference value.

Description

technical field [0001] The invention relates to the field of biological data evaluation of bacterial strains, in particular to a method for evaluating the drug resistance intensity of bacterial flora. Background technique [0002] The problem of antibiotic resistance has aroused great concern from all walks of life. In 2016, at the G20 Hangzhou Summit, the issue of antibiotic resistance was also put on the agenda. It was believed that it is necessary to adopt an inclusive approach to deal with the issue of antibiotic resistance from the perspective of reflecting the own advantages of the G20, and use empirical methods to prevent and Reduce antibiotic resistance while advancing research and development of new and existing antibiotics. In 2017, the Ministry of Agriculture issued the "National Action Plan for Containing Antimicrobial Resistance of Animal-derived Bacteria (2017-2020)", which clearly requires continuous implementation of animal-derived bacterial resistance monit...

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Application Information

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IPC IPC(8): C12Q1/18
CPCC12Q1/18Y02A50/30
Inventor 周炜赵灵燕周芷锦钱鸣蓉倪柏锋虞一聪沈红霞王彬孙冰冰穆琳杨华吉小凤唐标徐辉陈洁陈勇曲道峰吴贇竑张红丽索德成杨曙明徐贞贞吴平谷章虎杨金勇黄怡君
Owner 浙江省动物疫病预防控制中心
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