Retrospective Study
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
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
ARTICLE HIGHLIGHTS
Research background

This research focuses on the critical public health issue of bacterial resistance due to prevalent antimicrobial drug use. The study’s objective is to understand the prevalent bacterial strains and their resistance patterns within a hospital setting. Advanced analytical tools and software were employed for comprehensive analysis. This initiative aims to guide clinicians in effective antibiotic selection, addressing the growing concern of antimicrobial resistance.

Research motivation

The motivation behind this research is the urgent need to address the escalating problem of bacterial resistance in hospitals. By understanding the prevalent strains and their antibiotic resistance profiles, this study provides essential insights to clinicians. The findings assist in making informed decisions on antibiotic usage, contributing significantly to managing antimicrobial resistance effectively.

Research objectives

The main goal of this research is to identify prevalent bacteria in hospitals and assess their antibiotic resistance profiles. The research focuses on key strains and evaluates their resistance to common antibiotics, aiming to guide clinical antibiotic selection. The establishment of a regular reporting system is also a crucial objective, ensuring the continuous monitoring of resistance data to aid clinical decisions.

Research methods

The study involves collecting specimens from varied sources within the hospital, utilizing the VITEK 2 compact analyzer for bacterial identification and antibiotic sensitivity testing. WHONET5.6 software facilitated effective data analysis and interpretation. The methodologies ensured accurate and reliable findings, providing critical insights for appropriate antibiotic selection in clinical practice.

Research results

The study identified 12062 bacterial strains, revealing diverse resistance patterns among them. Notable findings include Staphylococcus aureus’s resistance to penicillin and Pseudomonas aeruginosa’s minimal resistance to certain antibiotics. Regular reporting and monitoring of these strains and their resistance dynamics are conducted to continually inform and guide clinical antibiotic selection within the hospital.

Research conclusions

The findings of this study disclose significant insights into bacterial resistance within a hospital. It outlines specific resistance patterns of various bacteria, emphasizing the importance of regular reporting and monitoring. These conclusions are pivotal in guiding clinicians in optimizing antibiotic selection and contribute to the broader goal of managing antimicrobial resistance effectively.

Research perspectives

This study underscores the need for continuous surveillance of antibiotic resistance and encourages further research into the mechanisms behind resistance development. Investigating the effects of interventions and focusing on collaborative efforts to implement effective infection control measures are pivotal. Long-term studies and public awareness campaigns are essential for developing guidelines and promoting responsible antibiotic usage, aiming to curb the spread of bacterial resistance.