Cargando…

Time series analysis of antibacterial usage and bacterial resistance in China: observations from a tertiary hospital from 2014 to 2018

PURPOSE: To describe trends and correlation between antibacterial exposure and bacterial resistance from hospitalized patients in a hospital in southern China. PATIENTS AND METHODS: This study used hospital-wide data regarding antimicrobial resistance and consumption between January 1, 2014 and Dece...

Descripción completa

Detalles Bibliográficos
Autores principales: Zeng, Shuangshuang, Xu, Zhijie, Wang, Xiang, Liu, Wanli, Qian, Long, Chen, Xi, Wei, Jie, Zhu, Minwen, Gong, Zhicheng, Yan, Yuanliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6717838/
https://www.ncbi.nlm.nih.gov/pubmed/31695444
http://dx.doi.org/10.2147/IDR.S220183
_version_ 1783447623333576704
author Zeng, Shuangshuang
Xu, Zhijie
Wang, Xiang
Liu, Wanli
Qian, Long
Chen, Xi
Wei, Jie
Zhu, Minwen
Gong, Zhicheng
Yan, Yuanliang
author_facet Zeng, Shuangshuang
Xu, Zhijie
Wang, Xiang
Liu, Wanli
Qian, Long
Chen, Xi
Wei, Jie
Zhu, Minwen
Gong, Zhicheng
Yan, Yuanliang
author_sort Zeng, Shuangshuang
collection PubMed
description PURPOSE: To describe trends and correlation between antibacterial exposure and bacterial resistance from hospitalized patients in a hospital in southern China. PATIENTS AND METHODS: This study used hospital-wide data regarding antimicrobial resistance and consumption between January 1, 2014 and December 31, 2018. Antibacterial consumption was expressed as antimicrobial use density (AUD). The changes in trends and associations between antibacterial utilization and resistance were analyzed using linear regression and time series analysis. RESULTS: The total AUD of all antimicrobials decreased year by year (50.66 in 2014 vs 44.28 in 2018, P=0.03). The annual use of antimicrobials, such as penicillins, monobactams, aminoglycosides, macrolides, and lincosamides, significantly decreased (P<0.05), while the annual use of quinolones and tetracyclines significantly increased (P<0.05). Among the top ten isolated bacteria, antimicrobial resistance trends of Escherichia coli, Pseudomonas aeruginosa, Candida albicans, Staphylococcus aureus, and Staphylococcus epidermidis significantly decreased (P<0.05). Significant positive correlation was found between AUD of carbapenems and resistance rate of Acinetobacter baumannii to imipenem (β=32.87, P<0.01), as well as the correlation between AUD of quinolones and resistance rate of Enterococcus faecium to levofloxacin (β=104.40, P<0.01). CONCLUSION: The consumption of antibiotics and antibiotic resistance has been significantly improved in this tertiary hospital. Additionally, the efforts of China’s antibiotic management may be suggested by the relationship between indicated antibiotic resistance and consumption. However, overall AUD levels and poor control of the use of antibiotics, such as quinolones and tetracyclines, still require strengthened management.
format Online
Article
Text
id pubmed-6717838
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-67178382019-11-06 Time series analysis of antibacterial usage and bacterial resistance in China: observations from a tertiary hospital from 2014 to 2018 Zeng, Shuangshuang Xu, Zhijie Wang, Xiang Liu, Wanli Qian, Long Chen, Xi Wei, Jie Zhu, Minwen Gong, Zhicheng Yan, Yuanliang Infect Drug Resist Original Research PURPOSE: To describe trends and correlation between antibacterial exposure and bacterial resistance from hospitalized patients in a hospital in southern China. PATIENTS AND METHODS: This study used hospital-wide data regarding antimicrobial resistance and consumption between January 1, 2014 and December 31, 2018. Antibacterial consumption was expressed as antimicrobial use density (AUD). The changes in trends and associations between antibacterial utilization and resistance were analyzed using linear regression and time series analysis. RESULTS: The total AUD of all antimicrobials decreased year by year (50.66 in 2014 vs 44.28 in 2018, P=0.03). The annual use of antimicrobials, such as penicillins, monobactams, aminoglycosides, macrolides, and lincosamides, significantly decreased (P<0.05), while the annual use of quinolones and tetracyclines significantly increased (P<0.05). Among the top ten isolated bacteria, antimicrobial resistance trends of Escherichia coli, Pseudomonas aeruginosa, Candida albicans, Staphylococcus aureus, and Staphylococcus epidermidis significantly decreased (P<0.05). Significant positive correlation was found between AUD of carbapenems and resistance rate of Acinetobacter baumannii to imipenem (β=32.87, P<0.01), as well as the correlation between AUD of quinolones and resistance rate of Enterococcus faecium to levofloxacin (β=104.40, P<0.01). CONCLUSION: The consumption of antibiotics and antibiotic resistance has been significantly improved in this tertiary hospital. Additionally, the efforts of China’s antibiotic management may be suggested by the relationship between indicated antibiotic resistance and consumption. However, overall AUD levels and poor control of the use of antibiotics, such as quinolones and tetracyclines, still require strengthened management. Dove 2019-08-28 /pmc/articles/PMC6717838/ /pubmed/31695444 http://dx.doi.org/10.2147/IDR.S220183 Text en © 2019 Zeng et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Zeng, Shuangshuang
Xu, Zhijie
Wang, Xiang
Liu, Wanli
Qian, Long
Chen, Xi
Wei, Jie
Zhu, Minwen
Gong, Zhicheng
Yan, Yuanliang
Time series analysis of antibacterial usage and bacterial resistance in China: observations from a tertiary hospital from 2014 to 2018
title Time series analysis of antibacterial usage and bacterial resistance in China: observations from a tertiary hospital from 2014 to 2018
title_full Time series analysis of antibacterial usage and bacterial resistance in China: observations from a tertiary hospital from 2014 to 2018
title_fullStr Time series analysis of antibacterial usage and bacterial resistance in China: observations from a tertiary hospital from 2014 to 2018
title_full_unstemmed Time series analysis of antibacterial usage and bacterial resistance in China: observations from a tertiary hospital from 2014 to 2018
title_short Time series analysis of antibacterial usage and bacterial resistance in China: observations from a tertiary hospital from 2014 to 2018
title_sort time series analysis of antibacterial usage and bacterial resistance in china: observations from a tertiary hospital from 2014 to 2018
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6717838/
https://www.ncbi.nlm.nih.gov/pubmed/31695444
http://dx.doi.org/10.2147/IDR.S220183
work_keys_str_mv AT zengshuangshuang timeseriesanalysisofantibacterialusageandbacterialresistanceinchinaobservationsfromatertiaryhospitalfrom2014to2018
AT xuzhijie timeseriesanalysisofantibacterialusageandbacterialresistanceinchinaobservationsfromatertiaryhospitalfrom2014to2018
AT wangxiang timeseriesanalysisofantibacterialusageandbacterialresistanceinchinaobservationsfromatertiaryhospitalfrom2014to2018
AT liuwanli timeseriesanalysisofantibacterialusageandbacterialresistanceinchinaobservationsfromatertiaryhospitalfrom2014to2018
AT qianlong timeseriesanalysisofantibacterialusageandbacterialresistanceinchinaobservationsfromatertiaryhospitalfrom2014to2018
AT chenxi timeseriesanalysisofantibacterialusageandbacterialresistanceinchinaobservationsfromatertiaryhospitalfrom2014to2018
AT weijie timeseriesanalysisofantibacterialusageandbacterialresistanceinchinaobservationsfromatertiaryhospitalfrom2014to2018
AT zhuminwen timeseriesanalysisofantibacterialusageandbacterialresistanceinchinaobservationsfromatertiaryhospitalfrom2014to2018
AT gongzhicheng timeseriesanalysisofantibacterialusageandbacterialresistanceinchinaobservationsfromatertiaryhospitalfrom2014to2018
AT yanyuanliang timeseriesanalysisofantibacterialusageandbacterialresistanceinchinaobservationsfromatertiaryhospitalfrom2014to2018