Correlation Analysis of Antimicrobial Use and Common Bacterial Resistance in a Hospital in Yunnan From 2016 to 2019

Pu-mei CUI; Tai-fang CHEN; Chao CHEN; Yong-mei LIANG; Yue XU

doi:10.12259/j.issn.2095-610X.S20211127

Volume 42 Issue 11

Nov. 2021

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Article Navigation > Journal of Kunming Medical University > 2021 > 42(11): 140-147

Pu-mei CUI, Tai-fang CHEN, Chao CHEN, Yong-mei LIANG, Yue XU. Correlation Analysis of Antimicrobial Use and Common Bacterial Resistance in a Hospital in Yunnan From 2016 to 2019[J]. Journal of Kunming Medical University, 2021, 42(11): 140-147. doi: 10.12259/j.issn.2095-610X.S20211127

Citation:

Pu-mei CUI, Tai-fang CHEN, Chao CHEN, Yong-mei LIANG, Yue XU. Correlation Analysis of Antimicrobial Use and Common Bacterial Resistance in a Hospital in Yunnan From 2016 to 2019[J]. Journal of Kunming Medical University, 2021, 42(11): 140-147. doi: 10.12259/j.issn.2095-610X.S20211127

Citation:

Pu-mei CUI, Tai-fang CHEN, Chao CHEN, Yong-mei LIANG, Yue XU. Correlation Analysis of Antimicrobial Use and Common Bacterial Resistance in a Hospital in Yunnan From 2016 to 2019[J]. Journal of Kunming Medical University, 2021, 42(11): 140-147. doi: 10.12259/j.issn.2095-610X.S20211127

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Correlation Analysis of Antimicrobial Use and Common Bacterial Resistance in a Hospital in Yunnan From 2016 to 2019

doi: 10.12259/j.issn.2095-610X.S20211127

1.
Dept. of Pharmacy
2.
Dept. of Clinical Laboratory
3.
Dept. of Oncology，The Anning First People’s Hospital，Kunming Yunnan 650302，China

Received Date: 2021-09-13
Publish Date: 2021-11-25

Abstract

Abstract

Objective To investigate the correlation between antimicrobial drug use and bacterial drug resistance, and to provide reference basis for clinical rational use of antimicrobial drugs. Methods DDDs and AUD of antimicrobial in Anning First People’ s Hospital from 2016 to 2019 were analyzed. WHONET5.6 software was used to calculate the drug resistance rate of bacteria isolated from clinical samples in the same period, and SPSS 23.0 software was used to analyze the correlation between the frequency of antimicrobial use and bacterial resistance. Results The usage of three generations of cephalosporins and quinolones in our hospital ranked the top, and the top 5 pathogens detected in clinical specimens were Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus, Staphylococcus epidermidis and Acinetobacter baumannii. The drug resistance rate of Escherichia coli was correlated with the DDDs of amikacin （r = -0.959, P = 0.041）, Klebsiella pneumoniae was correlated with ceftazidime DDDs （ r = 0.999, P = 0.001）, Acinetobacter baumannii and Pseudomonas aeruginosa resistance rates were correlated with DDDs of imipenancetastatin （r = 0.999, P = 0.001 and r = 0. 967 , P = 0.033）, Streptococcus pneumoniae resistance rates were correlated with DDDs of moxifloxacin （r = 0.989, P = 0.011）. Conclusions There is a correlation between the amount of antimicrobial agents and bacterial drug resistance, so it is necessary to select antimicrobial agents according to the results of drug sensitivity test to reduce the bacterial resistance.
- Antimicrobial agents,
- Bacterial resistance,
- Correlation,
- Drug sensitive test

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References(18)

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