Multidrug-resistant organisms in intensive care units and logistic analysis of risk factors

作     者：Ying Han Jin Zhang Hong-Ze Zhang Xin-Ying Zhang Ya-Mei Wang 

作者机构：Infection Control OfficeAffiliated Hospital of Hebei UniversityBaoding 071000Hebei ProvinceChina 

出 版 物：《World Journal of Clinical Cases》 (世界临床病例杂志)

年 卷 期：2022年第10卷第6期

页      面：1795-1805页

核心收录：

学科分类：1010[医学-医学技术（可授医学、理学学位）] 10[医学] 

基　　金：Supported by Drug resistance trend analysis and prevention and control of main pathogens in tertiary hospitals of Hebei Provincial Department of health,No.20210845 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 

主　　题：Multidrug-resistant organisms Intensive care Antibiotics Drug resistance 

摘      要：BACKGROUND Intensive care unit(ICU)patients are critically ill and have low *** will undergo various trauma medical procedures during diagnosis and *** use of high-dose hormones and broad-spectrum antibiotics will increase the incidence of nosocomial infection in ICU ***,it is necessary to explore the causes of nosocomial infection in ICU and provide basis for the prevention and control of nosocomial infection in *** To explore major pathogens of nosocomial infection in ICUs,methods of detection and drug resistance *** Risk factors of multidrug-resistant infection were analyzed to provide a basis for clinical rational use of antimicrobial drugs in the *** findings were used to standardize rational use of antimicrobial *** PhoenixTM100 automatic bacterial identification analyzer was used to for cell identification in specimens collected from the ICU between January 2016 and December *** sensitivity tests were carried out and drug resistance trends were analyzed using the optical disc diffusion *** ratios and corresponding 95%CI of independent variables were calculated using a logistic regression *** elimination(trend=0.1)was used as an inclusion criterion for multivariate *** data were analyzed using SPSS version 22.0,and P0.05 was considered statistically *** We collected 2070 samples from ICU patients between January 2016 and December *** 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(***),Pseudomonas aeruginosa(***),Klebsiella pneumoniae(***)and Staphylococcus aureus,were detected,with a detection rate of 35.97%(378/1051).Most of these strains were resistant to *** rate of *** was 21.79%(229/1051),and it was generally sensitive to many antimicrobial dr