Cargando…
The Distribution, Drug Susceptibility, and Dynamic Trends of Pseudomonas aeruginosa Infection in a Tertiary Hospital in China During 2016‒2022
BACKGROUND: Drug-resistant Pseudomonas aeruginosa infections rapidly increased and contributed to life-threatening nosocomial infections; however, the distribution, species, drug susceptibility and dynamic trends of P. aeruginosa infection in China remained unclear. This study was conducted to bette...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246564/ https://www.ncbi.nlm.nih.gov/pubmed/37293538 http://dx.doi.org/10.2147/IDR.S408956 |
_version_ | 1785055055227912192 |
---|---|
author | Li, Xiao-Yan Liu, Xin-Guang Dong, Zhi-Ling Chai, Liang-Ting Liu, Yan-Jun Qi, Jie Zhao, Jie |
author_facet | Li, Xiao-Yan Liu, Xin-Guang Dong, Zhi-Ling Chai, Liang-Ting Liu, Yan-Jun Qi, Jie Zhao, Jie |
author_sort | Li, Xiao-Yan |
collection | PubMed |
description | BACKGROUND: Drug-resistant Pseudomonas aeruginosa infections rapidly increased and contributed to life-threatening nosocomial infections; however, the distribution, species, drug susceptibility and dynamic trends of P. aeruginosa infection in China remained unclear. This study was conducted to better understand the epidemiological data of increased P. aeruginosa infections from 2016 to 2022 in a hospital in China. METHODS: This study involved 3301 patients infected with P. aeruginosa, diagnosed using a nosocomial infection surveillance system in a tertiary hospital between 2016 and 2022. The P. aeruginosa infections from 2016 to 2022 were assessed according to the hospital department and species, and the drug susceptibility was evaluated using 16 antimicrobial agents. RESULTS: The P. aeruginosa infection prevalence in the hospital department was: Neurosurgery (14.30%), Emergency (13.30%), and Critical Care Medicine (11.69%). Samples for P. aeruginosa infection identification were from sputum (72.52%) and other secreta (9.91%). The P. aeruginosa infections demonstrated a greater sensitivity to amikacin (AMK, 91.82%), tobramycin (TOB, 82.79%), and gentamycin (GEN, 82.01%); however, P. aeruginosa infection demonstrated greater resistance to ticarcillin (22.57%), levofloxacin (21.63%), and ciprofloxacin (18.00%). CONCLUSION: The P. aeruginosa infections were commonly observed in the Neurosurgery, Emergency, and Critical Care Medicine departments and demonstrated greater sensitivity to AMK, TOB, and GEN than the other drugs. |
format | Online Article Text |
id | pubmed-10246564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-102465642023-06-08 The Distribution, Drug Susceptibility, and Dynamic Trends of Pseudomonas aeruginosa Infection in a Tertiary Hospital in China During 2016‒2022 Li, Xiao-Yan Liu, Xin-Guang Dong, Zhi-Ling Chai, Liang-Ting Liu, Yan-Jun Qi, Jie Zhao, Jie Infect Drug Resist Original Research BACKGROUND: Drug-resistant Pseudomonas aeruginosa infections rapidly increased and contributed to life-threatening nosocomial infections; however, the distribution, species, drug susceptibility and dynamic trends of P. aeruginosa infection in China remained unclear. This study was conducted to better understand the epidemiological data of increased P. aeruginosa infections from 2016 to 2022 in a hospital in China. METHODS: This study involved 3301 patients infected with P. aeruginosa, diagnosed using a nosocomial infection surveillance system in a tertiary hospital between 2016 and 2022. The P. aeruginosa infections from 2016 to 2022 were assessed according to the hospital department and species, and the drug susceptibility was evaluated using 16 antimicrobial agents. RESULTS: The P. aeruginosa infection prevalence in the hospital department was: Neurosurgery (14.30%), Emergency (13.30%), and Critical Care Medicine (11.69%). Samples for P. aeruginosa infection identification were from sputum (72.52%) and other secreta (9.91%). The P. aeruginosa infections demonstrated a greater sensitivity to amikacin (AMK, 91.82%), tobramycin (TOB, 82.79%), and gentamycin (GEN, 82.01%); however, P. aeruginosa infection demonstrated greater resistance to ticarcillin (22.57%), levofloxacin (21.63%), and ciprofloxacin (18.00%). CONCLUSION: The P. aeruginosa infections were commonly observed in the Neurosurgery, Emergency, and Critical Care Medicine departments and demonstrated greater sensitivity to AMK, TOB, and GEN than the other drugs. Dove 2023-06-03 /pmc/articles/PMC10246564/ /pubmed/37293538 http://dx.doi.org/10.2147/IDR.S408956 Text en © 2023 Li et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Li, Xiao-Yan Liu, Xin-Guang Dong, Zhi-Ling Chai, Liang-Ting Liu, Yan-Jun Qi, Jie Zhao, Jie The Distribution, Drug Susceptibility, and Dynamic Trends of Pseudomonas aeruginosa Infection in a Tertiary Hospital in China During 2016‒2022 |
title | The Distribution, Drug Susceptibility, and Dynamic Trends of Pseudomonas aeruginosa Infection in a Tertiary Hospital in China During 2016‒2022 |
title_full | The Distribution, Drug Susceptibility, and Dynamic Trends of Pseudomonas aeruginosa Infection in a Tertiary Hospital in China During 2016‒2022 |
title_fullStr | The Distribution, Drug Susceptibility, and Dynamic Trends of Pseudomonas aeruginosa Infection in a Tertiary Hospital in China During 2016‒2022 |
title_full_unstemmed | The Distribution, Drug Susceptibility, and Dynamic Trends of Pseudomonas aeruginosa Infection in a Tertiary Hospital in China During 2016‒2022 |
title_short | The Distribution, Drug Susceptibility, and Dynamic Trends of Pseudomonas aeruginosa Infection in a Tertiary Hospital in China During 2016‒2022 |
title_sort | distribution, drug susceptibility, and dynamic trends of pseudomonas aeruginosa infection in a tertiary hospital in china during 2016‒2022 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246564/ https://www.ncbi.nlm.nih.gov/pubmed/37293538 http://dx.doi.org/10.2147/IDR.S408956 |
work_keys_str_mv | AT lixiaoyan thedistributiondrugsusceptibilityanddynamictrendsofpseudomonasaeruginosainfectioninatertiaryhospitalinchinaduring20162022 AT liuxinguang thedistributiondrugsusceptibilityanddynamictrendsofpseudomonasaeruginosainfectioninatertiaryhospitalinchinaduring20162022 AT dongzhiling thedistributiondrugsusceptibilityanddynamictrendsofpseudomonasaeruginosainfectioninatertiaryhospitalinchinaduring20162022 AT chailiangting thedistributiondrugsusceptibilityanddynamictrendsofpseudomonasaeruginosainfectioninatertiaryhospitalinchinaduring20162022 AT liuyanjun thedistributiondrugsusceptibilityanddynamictrendsofpseudomonasaeruginosainfectioninatertiaryhospitalinchinaduring20162022 AT qijie thedistributiondrugsusceptibilityanddynamictrendsofpseudomonasaeruginosainfectioninatertiaryhospitalinchinaduring20162022 AT zhaojie thedistributiondrugsusceptibilityanddynamictrendsofpseudomonasaeruginosainfectioninatertiaryhospitalinchinaduring20162022 AT lixiaoyan distributiondrugsusceptibilityanddynamictrendsofpseudomonasaeruginosainfectioninatertiaryhospitalinchinaduring20162022 AT liuxinguang distributiondrugsusceptibilityanddynamictrendsofpseudomonasaeruginosainfectioninatertiaryhospitalinchinaduring20162022 AT dongzhiling distributiondrugsusceptibilityanddynamictrendsofpseudomonasaeruginosainfectioninatertiaryhospitalinchinaduring20162022 AT chailiangting distributiondrugsusceptibilityanddynamictrendsofpseudomonasaeruginosainfectioninatertiaryhospitalinchinaduring20162022 AT liuyanjun distributiondrugsusceptibilityanddynamictrendsofpseudomonasaeruginosainfectioninatertiaryhospitalinchinaduring20162022 AT qijie distributiondrugsusceptibilityanddynamictrendsofpseudomonasaeruginosainfectioninatertiaryhospitalinchinaduring20162022 AT zhaojie distributiondrugsusceptibilityanddynamictrendsofpseudomonasaeruginosainfectioninatertiaryhospitalinchinaduring20162022 |