Cargando…

Trending prevalence of healthcare-associated infections in a tertiary hospital in China during the COVID-19 pandemic

BACKGROUND: The purpose of this study was to demonstrate both the four-year prevalence trend of healthcare-associated infections (HAIs) in a large tertiary hospital and the trend regarding the prevalence of HAIs following the outbreak of coronavirus disease 2019 (COVID-19) in order to provide eviden...

Descripción completa

Detalles Bibliográficos
Autores principales: Rong, Rong, Lin, Lanxi, Yang, Yongjie, Zhao, Shumin, Guo, Ruiling, Ye, Junpeng, Zhu, Xinghua, Wen, Qiong, Liu, Dayue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857900/
https://www.ncbi.nlm.nih.gov/pubmed/36670378
http://dx.doi.org/10.1186/s12879-022-07952-9
_version_ 1784873963903516672
author Rong, Rong
Lin, Lanxi
Yang, Yongjie
Zhao, Shumin
Guo, Ruiling
Ye, Junpeng
Zhu, Xinghua
Wen, Qiong
Liu, Dayue
author_facet Rong, Rong
Lin, Lanxi
Yang, Yongjie
Zhao, Shumin
Guo, Ruiling
Ye, Junpeng
Zhu, Xinghua
Wen, Qiong
Liu, Dayue
author_sort Rong, Rong
collection PubMed
description BACKGROUND: The purpose of this study was to demonstrate both the four-year prevalence trend of healthcare-associated infections (HAIs) in a large tertiary hospital and the trend regarding the prevalence of HAIs following the outbreak of coronavirus disease 2019 (COVID-19) in order to provide evidence of hospital infection management during the COVID-19 pandemic. METHODS: Based on the hospital’s electronic nosocomial infection databases related to HAIs, we retrospectively identified the HAI cases to assess the epidemiological characteristics of HAIs from January 1, 2018, to December 31, 2021, in a large tertiary hospital in China. Similarly, the trends of HAIs after the COVID-19 outbreak and the seasonal variation of HAIs were further analyzed. RESULTS: The HAI cases (n = 7833) were identified from the inpatients (n = 483,258) during the 4 years. The most frequently occurring underlying cause of HAIs was respiratory tract infections (44.47%), followed by bloodstream infections (11.59%), and urinary tract infections (8.69%). The annual prevalence of HAIs decreased from 2.39% in 2018 to 1.41% in 2021 (P = 0.032), with the overall prevalence of HAIs significantly decreasing since the outbreak of COVID-19 (2.20% in 2018–2019 vs. 1.44% in 2020–2021, P < 0.001). The prevalence of respiratory tract infections decreased most significantly; whereas, overall, the prevalence of HAIs was significantly greater during the winter compared with the rest of the year. CONCLUSIONS: Not only did the annual prevalence of HAIs decrease from 2018 to 2021, but it also significantly decreased since the start of the COVID-19 pandemic, particularly respiratory tract infections. These results provide evidence for the need to prevent HAIs, especially during the winter season. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07952-9.
format Online
Article
Text
id pubmed-9857900
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-98579002023-01-22 Trending prevalence of healthcare-associated infections in a tertiary hospital in China during the COVID-19 pandemic Rong, Rong Lin, Lanxi Yang, Yongjie Zhao, Shumin Guo, Ruiling Ye, Junpeng Zhu, Xinghua Wen, Qiong Liu, Dayue BMC Infect Dis Research BACKGROUND: The purpose of this study was to demonstrate both the four-year prevalence trend of healthcare-associated infections (HAIs) in a large tertiary hospital and the trend regarding the prevalence of HAIs following the outbreak of coronavirus disease 2019 (COVID-19) in order to provide evidence of hospital infection management during the COVID-19 pandemic. METHODS: Based on the hospital’s electronic nosocomial infection databases related to HAIs, we retrospectively identified the HAI cases to assess the epidemiological characteristics of HAIs from January 1, 2018, to December 31, 2021, in a large tertiary hospital in China. Similarly, the trends of HAIs after the COVID-19 outbreak and the seasonal variation of HAIs were further analyzed. RESULTS: The HAI cases (n = 7833) were identified from the inpatients (n = 483,258) during the 4 years. The most frequently occurring underlying cause of HAIs was respiratory tract infections (44.47%), followed by bloodstream infections (11.59%), and urinary tract infections (8.69%). The annual prevalence of HAIs decreased from 2.39% in 2018 to 1.41% in 2021 (P = 0.032), with the overall prevalence of HAIs significantly decreasing since the outbreak of COVID-19 (2.20% in 2018–2019 vs. 1.44% in 2020–2021, P < 0.001). The prevalence of respiratory tract infections decreased most significantly; whereas, overall, the prevalence of HAIs was significantly greater during the winter compared with the rest of the year. CONCLUSIONS: Not only did the annual prevalence of HAIs decrease from 2018 to 2021, but it also significantly decreased since the start of the COVID-19 pandemic, particularly respiratory tract infections. These results provide evidence for the need to prevent HAIs, especially during the winter season. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07952-9. BioMed Central 2023-01-20 /pmc/articles/PMC9857900/ /pubmed/36670378 http://dx.doi.org/10.1186/s12879-022-07952-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Rong, Rong
Lin, Lanxi
Yang, Yongjie
Zhao, Shumin
Guo, Ruiling
Ye, Junpeng
Zhu, Xinghua
Wen, Qiong
Liu, Dayue
Trending prevalence of healthcare-associated infections in a tertiary hospital in China during the COVID-19 pandemic
title Trending prevalence of healthcare-associated infections in a tertiary hospital in China during the COVID-19 pandemic
title_full Trending prevalence of healthcare-associated infections in a tertiary hospital in China during the COVID-19 pandemic
title_fullStr Trending prevalence of healthcare-associated infections in a tertiary hospital in China during the COVID-19 pandemic
title_full_unstemmed Trending prevalence of healthcare-associated infections in a tertiary hospital in China during the COVID-19 pandemic
title_short Trending prevalence of healthcare-associated infections in a tertiary hospital in China during the COVID-19 pandemic
title_sort trending prevalence of healthcare-associated infections in a tertiary hospital in china during the covid-19 pandemic
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857900/
https://www.ncbi.nlm.nih.gov/pubmed/36670378
http://dx.doi.org/10.1186/s12879-022-07952-9
work_keys_str_mv AT rongrong trendingprevalenceofhealthcareassociatedinfectionsinatertiaryhospitalinchinaduringthecovid19pandemic
AT linlanxi trendingprevalenceofhealthcareassociatedinfectionsinatertiaryhospitalinchinaduringthecovid19pandemic
AT yangyongjie trendingprevalenceofhealthcareassociatedinfectionsinatertiaryhospitalinchinaduringthecovid19pandemic
AT zhaoshumin trendingprevalenceofhealthcareassociatedinfectionsinatertiaryhospitalinchinaduringthecovid19pandemic
AT guoruiling trendingprevalenceofhealthcareassociatedinfectionsinatertiaryhospitalinchinaduringthecovid19pandemic
AT yejunpeng trendingprevalenceofhealthcareassociatedinfectionsinatertiaryhospitalinchinaduringthecovid19pandemic
AT zhuxinghua trendingprevalenceofhealthcareassociatedinfectionsinatertiaryhospitalinchinaduringthecovid19pandemic
AT wenqiong trendingprevalenceofhealthcareassociatedinfectionsinatertiaryhospitalinchinaduringthecovid19pandemic
AT liudayue trendingprevalenceofhealthcareassociatedinfectionsinatertiaryhospitalinchinaduringthecovid19pandemic