Retrospective Cohort Study
Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Feb 26, 2022; 10(6): 1795-1805
Published online Feb 26, 2022. doi: 10.12998/wjcc.v10.i6.1795
Multidrug-resistant organisms in intensive care units and logistic analysis of risk factors
Ying Han, Jin Zhang, Hong-Ze Zhang, Xin-Ying Zhang, Ya-Mei Wang
Ying Han, Jin Zhang, Hong-Ze Zhang, Xin-Ying Zhang, Ya-Mei Wang, Infection Control Office, Affiliated Hospital of Hebei University, Baoding 071000, Hebei Province, China
Author contributions: Han Y and Zhang J made equal contributions to the work; Han Y, Zhang J and Zhang HZ designed the study; Han Y, Zhang J, Zhang HZ, Wang YM, Zhang XY and Zhou XL studied; Zhang J and Zhang HZ analyze data and write articles; all authors have read and approved the final manuscript.
Supported by Drug resistance trend analysis and prevention and control of main pathogens in tertiary hospitals of Hebei Provincial Department of health, No. 20210845; and Analysis of drug and drug resistance trend and prevention and control of pathogens in major general hospitals of Baoding science and technology support plan project, No. 17zf79.
Institutional review board statement: The study was reviewed and approved by the Affiliated Hospital of Hebei University Institutional Review Board (Approval No. HDFY-LL-2020-021).
Informed consent statement: Informed written consent was obtained from the patient.
Conflict-of-interest statement: Han Y has received fees for serving as a speaker, Han Y has received research funding from Hebei Provincial Department of Health and Baoding science and technology; Han Y, Zhang HZ, Wang YM, Zhang XY, Zhang J, Zhou XL owns stocks and/or shares in Affiliated Hospital of Hebei University.
Data sharing statement: Corresponding author at hanyingsci@126.com. Participants gave informed consent for data sharing.
STROBE statement: The authors have read the STROBE Statement—checklist of items, and the manuscript was prepared and revised according to the STROBE Statement—checklist of items.
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: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Jin Zhang, BMed, Attending Doctor, Deputy Director, Doctor, Lecturer, Neurosurgeon, Infection Control Office, Affiliated Hospital of Hebei University, No. 212 Yuhua East Road, Baoding 071000, Hebei Province, China. hanyingsci@126.com
Received: June 22, 2021
Peer-review started: June 22, 2021
First decision: September 1, 2021
Revised: September 15, 2021
Accepted: January 14, 2022
Article in press: January 14, 2022
Published online: February 26, 2022
Processing time: 246 Days and 2.9 Hours
Abstract
BACKGROUND

Intensive care unit (ICU) patients are critically ill and have low immunity. They will undergo various trauma medical procedures during diagnosis and treatment. The use of high-dose hormones and broad-spectrum antibiotics will increase the incidence of nosocomial infection in ICU patients. Therefore, it is necessary to explore the causes of nosocomial infection in ICU and provide basis for the prevention and control of nosocomial infection in ICU.

AIM

To explore major pathogens of nosocomial infection in ICUs, methods of detection and drug resistance trends.

METHODS

Risk factors of multidrug-resistant infection were analyzed to provide a basis for clinical rational use of antimicrobial drugs in the ICU. These findings were used to standardize rational use of antimicrobial agents. BD PhoenixTM100 automatic bacterial identification analyzer was used to for cell identification in specimens collected from the ICU between January 2016 and December 2019. Drug sensitivity tests were carried out and drug resistance trends were analyzed using the optical disc diffusion method. Odds ratios and corresponding 95%CI of independent variables were calculated using a logistic regression model. Backward elimination (trend = 0.1) was used as an inclusion criterion for multivariate analysis. All data were analyzed using SPSS version 22.0, and P < 0.05 was considered statistically significant.

RESULTS

We collected 2070 samples from ICU patients between January 2016 and December 2019. Sample types comprised sputum (1139 strains, 55.02%), blood (521 strains, 25.17%), and drainage fluid (117 strains, 5.65%). A total of 1051 strains of major pathogens, including Acinetobacter baumannii, Escherichia coli (E. coli), Pseudomonas aeruginosa (P. aeruginosa), Klebsiella pneumoniae (K. pneumoniae) and Staphylococcus aureus, were detected, with a detection rate of 35.97% (378/1051). Most of these strains were resistant to antibiotics. Detection rate of E. coli was 21.79% (229/1051), and it was generally sensitive to many antimicrobial drugs. Detection rate of P. aeruginosa was 24.74% (260/1051), and showed low sensitivity to most antibiotics. Detection rate of K. pneumoniae was 9.42% (99/1051), which was generally resistant to multiple antimicrobial drugs and resistant forms. K. pneumoniae was resistant to imipenem for approximate 4 years, and showed a 19.9% (19/99) and 20.20% (20/99) rate of meropenem resistance. Logistic analysis showed that mechanical ventilation and ureteral intubation were risk factors for multidrug-resistant bacterial infections.

CONCLUSION

This study showed a high incidence of ICU infections. Mechanical ventilation and urine tube intubation were risk factors for infection with multidrug-resistant bacteria.

Keywords: Multidrug-resistant organisms; Intensive care; Antibiotics; Drug resistance

Core Tip: This study described the current situation of multi drug resistant bacteria infection in intensive care unit (ICU) patients, and analyzed the main pathogens of nosocomial infection in ICU and the risk factors of multi drug resistant bacteria infection. The results showed that mechanical ventilation and intubation were the risk factors of multidrug resistant bacterial infection. To provide effective scientific basis for improving the clinical efficacy of antibiotics and scientific strategies for the prevention and treatment of multidrug-resistant bacteria.