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ORIGINAL RESEARCH article
Front. Public Health
Sec. Infectious Diseases: Epidemiology and Prevention
Volume 12 - 2024 |
doi: 10.3389/fpubh.2024.1399067
This article is part of the Research Topic Novel Interventions for the Prevention and Control of Communicable Disease View all 6 articles
Uses of a real-time automatic nosocomial infection surveillance system to support prevention and control of hospital-acquired infections in the ICU
Provisionally accepted- First People's Hospital of Huizhou City, Huizhou, Guangdong Province, China
The intensive care unit (ICU) caters to patients with severe illnesses or injuries who require constant medical attention. The core dimension of infection prevention and control for ICUs is infection surveillance, which analyses the risk factors of HAI and implements comprehensive interventions for HAI prevention and control. We aimed to investigate the potential risk factors for developing HAI in the ICU using real-time automatic nosocomial infection surveillance systems (RT-NISS) and analyse the effectiveness of RT-NISS coupled with comprehensive interventions on HAI prevention and control. Methods: A retrospective analysis was conducted using data from an RT-NISS for all inpatients in ICU from January 2021 to December 2022. Univariate and multivariate logistic regression analyses were performed to analyse potential risk factors for HAI in the ICU. Comprehensive interventions were implemented in 2022, and we compared the results of HAIs between 2021 and 2022 to evaluate the effect of the RT-NISS application combined with comprehensive interventions on HAI prevention and control. Results: The relative risk factors, observed as being a significantly higher risk of developing HAI, were hospitalization over 2 weeks, chronic lung diseases, chronic heart diseases, chronic renal diseases, current malignancy, hypohepatia, stroke, cerebrovascular accident, severe trauma, tracheal intubation and tracheostomy and urinary catheter. By implementing comprehensive interventions depending on infection surveillance by the RT-NISS in 2022, the prevalence proportion of HAIs of HAI was reduced from 12.67% in 2021 to 9.05% in 2022 (²=15.465, p<0.001). The prevalence proportion of hospital-acquired multidrug-resistant organisms was reduced from 5.78% in 2021 to 3.21% in 2022 (²=19.085, p<0.001). The prevalence proportion of HAI in four sites, including respiratory tract infection, gastrointestinal tract infection, surgical site infection, and bloodstream infection, was also significantly reduced from 2021 to 2022 (both p<0.05). The incidence of ventilator-associated pneumonia in 2022 was lower than that in 2021 (15.02% vs. 9.19%, ²=17.627, p<0.001). Conclusion: The adoption of an RT-NISS can adequately and accurately collect HAI case information to analyse the relative high-risk factors for developing HAIs in ICU. Furthermore, implementing comprehensive interventions derived from real-time automation surveillance of the RT-NISS will reduce the risk and prevalence proportion of HAIs in ICU.
Keywords: Hospital-acquired infections, Intensive Care Unit, Infection surveillance, Infection prevention and control, Device-associated infections
Received: 11 Mar 2024; Accepted: 02 Sep 2024.
Copyright: © 2024 Wen, Li, Cai, Zhong and Yan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Ruiling Wen, First People's Hospital of Huizhou City, Huizhou, Guangdong Province, China
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