Haishaerjiang Wushouer1, Zhao-Xia Zhang2, Jian-Hua Wang3, Ping Ji2, Qing-Fang Zhu3, Renagu Aishan4, Lu-Wen Shi5. 1. Department of Pharmacy Administration and Clinical Pharmacy, Peking University Health Science Center, Beijing, China. 2. Department of Laboratory Medicine, First Affiliated Hospital of Xinjiang Medical University, Urumchi, China. 3. Department of Pharmacy, First Affiliated Hospital of Xinjiang Medical University, Urumchi, China. 4. Department of Clinical Medicine, Xinjiang Medical University, Urumchi, China. 5. Department of Pharmacy Administration and Clinical Pharmacy, Peking University Health Science Center, Beijing, China; International Research Center of Medical Administration (IRCMA) of Peking University, Beijing, China. Electronic address: shiluwen211@163.com.
Abstract
PURPOSES: The objective of the study was to identify the trends and relations between antimicrobial resistance (AMR) and antibiotic use in the Xinjiang Uyghur Autonomous Region in Western China from 2014 to 2016. METHODS: A retrospective, descriptive analysis of AMR prevalence, and trends and relations between AMR and antibiotic use during the 3-year period was performed. RESULTS: Third-generation cephalosporin-resistant Escherichia coli was the most prevalent resistant pathogen in terms of both resistance density and resistance proportion. A significant correlation was found between resistance density of third-generation cephalosporin-resistant Klebsiella pneumoniae and the use of beta-lactam-beta-lactamase inhibitor combinations (cc=0.63, p=0.03), quinolones (cc=0.60, p=0.04), and carbapenems (cc=0.76, p=0.004), among which only beta-lactam-beta-lactamase inhibitor combinations showed a significant correlation with third-generation cephalosporin-resistant E. coli (cc=0.63, p=0.03). For carbapenem-resistant Pseudomonas aeruginosa, not only carbapenem use (cc=0.65, p=0.02) but also penicillin (cc=0.76, p=0.004) and quinolone (cc=0.69, p=0.01) use showed significant correlation. A strong correlation was observed between the resistant proportion of third-generation cephalosporin-resistant E. coli and only the use of beta-lactam-beta-lactamase inhibitor combinations (cc=0.61, p=0.03). CONCLUSION: The association between antibiotic use and AMR, especially the implication of the difference in resistance density and resistance proportion, is crucial for local physicians and decision-makers to better use of antibiotics and allocate healthcare resources more effectively, as well as to better implement antimicrobial stewardship and effective infection control strategies.
PURPOSES: The objective of the study was to identify the trends and relations between antimicrobial resistance (AMR) and antibiotic use in the Xinjiang Uyghur Autonomous Region in Western China from 2014 to 2016. METHODS: A retrospective, descriptive analysis of AMR prevalence, and trends and relations between AMR and antibiotic use during the 3-year period was performed. RESULTS: Third-generation cephalosporin-resistant Escherichia coli was the most prevalent resistant pathogen in terms of both resistance density and resistance proportion. A significant correlation was found between resistance density of third-generation cephalosporin-resistant Klebsiella pneumoniae and the use of beta-lactam-beta-lactamase inhibitor combinations (cc=0.63, p=0.03), quinolones (cc=0.60, p=0.04), and carbapenems (cc=0.76, p=0.004), among which only beta-lactam-beta-lactamase inhibitor combinations showed a significant correlation with third-generation cephalosporin-resistant E. coli (cc=0.63, p=0.03). For carbapenem-resistant Pseudomonas aeruginosa, not only carbapenem use (cc=0.65, p=0.02) but also penicillin (cc=0.76, p=0.004) and quinolone (cc=0.69, p=0.01) use showed significant correlation. A strong correlation was observed between the resistant proportion of third-generation cephalosporin-resistant E. coli and only the use of beta-lactam-beta-lactamase inhibitor combinations (cc=0.61, p=0.03). CONCLUSION: The association between antibiotic use and AMR, especially the implication of the difference in resistance density and resistance proportion, is crucial for local physicians and decision-makers to better use of antibiotics and allocate healthcare resources more effectively, as well as to better implement antimicrobial stewardship and effective infection control strategies.
Authors: Tiago Zequinao; Juliano Gasparetto; Dayana Dos Santos Oliveira; Gabriel Takahara Silva; João Paulo Telles; Felipe Francisco Tuon Journal: Braz J Infect Dis Date: 2020-06-03 Impact factor: 3.257