已发表论文

2018-2020 年上海市崇明东部地区尿路感染患者病原菌分布及耐药性分析

 

Authors Li J, Jiang F, Xie A, Jiang Y

Received 1 August 2022

Accepted for publication 20 October 2022

Published 1 November 2022 Volume 2022:15 Pages 6413—6422

DOI https://doi.org/10.2147/IDR.S384515

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Professor Héctor M Mora-Montes

Purpose: The aim of this study was to clarify the distribution and drug resistance of pathogens causing urinary tract infection (UTI) and to provide a scientific reference for the rational application of antibiotics.
Patients and Methods: The results of bacterial identification and drug sensitivity analysis of midstream urine samples in our hospital from January 2018 to December 2020 were retrospectively analyzed. The data were analyzed using WHONET 5.6 and SPSS 26.0 (IBM) software.
Results: In all, 1786 pathogens were isolated from 13,141 midstream urine culture samples. Of these, 1093 (61.2%) were gram-negative bacteria, mainly Escherichia coli [29.1%] and Klebsiella pneumoniae [14.3%]; 543 (30.4%) were gram-positive bacteria, mainly Enterococcus faecium [16.7%] and Enterococcus faecalis [8.4%]; and 150 (8.4%) were fungal isolates, with the most common being Candida albicans (3.7%). The resistance rates of E. coli to piperacillin/tazobactam (3.4% vs 10.0%, < 0.05), ampicillin/sulbactam (43.0% vs 53.8%, < 0.05), and ciprofloxacin (58.0% vs 72.9%, < 0.05) increased significantly. K. pneumoniae was highly sensitive to ertapenem (100%). Two Enterococcus spp were highly sensitive to tigecycline (100%), and a small number of norvancomycin-resistant strains were found. The drug resistance rate of E. faecium to quinupristin was 6.7%. The drug resistance rates of E. faecalis to furantoin and ampicillin were 4.0% and 4.7%, respectively.
Conclusion: The pathogens that cause UTIs in patients are diverse, with the most common being E. coli . The isolated pathogens exhibited different resistance patterns. Antibiotics should be rationally selected based on the resistance patterns of the pathogens.
Keywords: urinary tract infections, midstream urine culture, pathogenic bacteria distribution, antimicrobial agent, antibiotic resistance