Li ZY, Yang D, Hao CH. Six-year analysis of key monitoring for bacterial strain distribution and antibiotic sensitivity in a hospital. World J Clin Cases 2023; 11(30): 7294-7301 [PMID: 37969448 DOI: 10.12998/wjcc.v11.i30.7294]
Corresponding Author of This Article
Chong-Hua Hao, MS, Attending Doctor, Department of Laboratory Medicine, Shanxi Provincial People’s Hospital (Fifth Clinical College of Shanxi Medical University), No. 22 Shuangtasi Street, Yingze District, Taiyuan 030001, Shanxi Province, China. pupin80@126.com
Research Domain of This Article
Medicine, General & Internal
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Clin Cases. Oct 26, 2023; 11(30): 7294-7301 Published online Oct 26, 2023. doi: 10.12998/wjcc.v11.i30.7294
Six-year analysis of key monitoring for bacterial strain distribution and antibiotic sensitivity in a hospital
Zong-Ying Li, Dong Yang, Chong-Hua Hao
Zong-Ying Li, Dong Yang, Chong-Hua Hao, Department of Laboratory Medicine, Shanxi Provincial People’s Hospital (Fifth Clinical College of Shanxi Medical University), Taiyuan 030001, Shanxi Province, China
Author contributions: Li ZY proposed the concept of this study; Yang D has contributed to data collection and formal analysis; Li ZY and Hao CH participated in the research; Hao CH has contributed to these methods; Li ZY, Yang D, and Hao CH validated this study; Yang D and Li ZY contributed to the visualization of this study; Li ZY drafted the first draft; Li ZY, Yang D, and Hao CH jointly reviewed and edited the manuscript.
Institutional review board statement: This study has been approved by the Medical Ethics Committee of Changzhi People’s Hospital.
Informed consent statement: This study has obtained the consent of the patient or guardian.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Chong-Hua Hao, MS, Attending Doctor, Department of Laboratory Medicine, Shanxi Provincial People’s Hospital (Fifth Clinical College of Shanxi Medical University), No. 22 Shuangtasi Street, Yingze District, Taiyuan 030001, Shanxi Province, China. pupin80@126.com
Received: August 8, 2023 Peer-review started: August 8, 2023 First decision: August 24, 2023 Revised: September 1, 2023 Accepted: September 27, 2023 Article in press: September 27, 2023 Published online: October 26, 2023 Processing time: 78 Days and 5.9 Hours
Abstract
BACKGROUND
With the widespread use of antimicrobial drugs, bacterial resistance has become a significant problem, posing a serious threat to public health. The prevalence of clinical infection strains in hospitals and their drug sensitivities are key to the appropriate use of antibiotics in clinical practice.
AIM
To identify prevalent bacteria and their antibiotic resistance profiles in a hospital setting, thereby guiding effective antibiotic usage by clinicians.
METHODS
Specimens from across the institution were collected by the microbiology laboratory. The VITEK 2 compact fully automatic analyzer was used for bacterial identification and antibiotic sensitivity testing, and the WHONET5.6 software was utilized for statistical analysis.
RESULTS
A total of 12062 bacterial strains of key monitoring significance were detected. Staphylococcus aureus demonstrated widespread resistance to penicillin, but none of the strains were resistant to vancomycin or linezolid. Moreover, 219 strains of methicillin-resistant coagulase-negative staphylococci and 110 strains of methicillin-resistant Staphylococcus aureus were detected. Enterococcus faecalis showed moderate resistance to the third-generation quinolones ciprofloxacin and levofloxacin, but its resistance to nitrofurantoin and tetracycline was low. Enterococcus faecium displayed significantly lower resistance to third- and fourth-generation quinolones than Enterococcus faecalis. The resistance of two key monitoring strains, Escherichia coli and Klebsiella pneumoniae, to piperacillin/tazobactam was 5%-8%. However, none of the Escherichia coli and Klebsiella pneumoniae strains were resistant to meropenem. The resistance of Acinetobacter baumannii to piperacillin/sulbactam was nearly 90%. Nonetheless, the resistance to tigecycline was low, and Pseudomonas aeruginosa demonstrated minimal resistance in the antibiotic sensitivity test, maintaining a resistance of < 10% to the cephalosporin antibiotics cefotetan and cefoperazone over the last 6 years. The resistance to amikacin remained at 0.2% over the past 3 years.
CONCLUSION
Our hospital’s overall antibiotic resistance rate was relatively stable from 2017 to 2022. The detection rates of key monitoring strains are reported quarterly and their resistance dynamics are monitored and communicated to the entire hospital, which can guide clinical antibiotic selection.
Core Tip: This study provides essential insights into the distribution and drug resistance of key clinical bacteria in a hospital setting. The findings help clinicians to understand the prevalence of these strains and their resistance to antibiotics, which can guide effective treatment decisions. This contributes to the broader efforts to manage and combat antibiotic resistance, a significant global health challenge.
