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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.
  • Rong R; Department of Nosocomial Infection, The First Affiliated Hospital, Sun Yat-sen University, Zhong Shan 2nd Road, No. 58, Guangzhou, 510080, Guangdong, China.
  • Lin L; Department of Nosocomial Infection, The First Affiliated Hospital, Sun Yat-sen University, Zhong Shan 2nd Road, No. 58, Guangzhou, 510080, Guangdong, China.
  • Yang Y; Department of Nosocomial Infection, The First Affiliated Hospital, Sun Yat-sen University, Zhong Shan 2nd Road, No. 58, Guangzhou, 510080, Guangdong, China.
  • Zhao S; Department of Nosocomial Infection, The First Affiliated Hospital, Sun Yat-sen University, Zhong Shan 2nd Road, No. 58, Guangzhou, 510080, Guangdong, China.
  • Guo R; Department of Nosocomial Infection, The First Affiliated Hospital, Sun Yat-sen University, Zhong Shan 2nd Road, No. 58, Guangzhou, 510080, Guangdong, China.
  • Ye J; Department of Nosocomial Infection, The First Affiliated Hospital, Sun Yat-sen University, Zhong Shan 2nd Road, No. 58, Guangzhou, 510080, Guangdong, China.
  • Zhu X; Department of Nosocomial Infection, The First Affiliated Hospital, Sun Yat-sen University, Zhong Shan 2nd Road, No. 58, Guangzhou, 510080, Guangdong, China.
  • Wen Q; Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. wenqiong@mail.sysu.edu.cn.
  • Liu D; Key Laboratory of Guangdong Province, Key Laboratory of National Health Commission, Zhong Shan 2nd Road, No. 58, Guangzhou, 510080, Guangdong, China. wenqiong@mail.sysu.edu.cn.
BMC Infect Dis ; 23(1): 41, 2023 Jan 20.
Article in English | MEDLINE | ID: covidwho-2214540
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Respiratory Tract Infections / Cross Infection / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: BMC Infect Dis Journal subject: Communicable Diseases Year: 2023 Document Type: Article Affiliation country: S12879-022-07952-9

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Respiratory Tract Infections / Cross Infection / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: BMC Infect Dis Journal subject: Communicable Diseases Year: 2023 Document Type: Article Affiliation country: S12879-022-07952-9