Proposed new definition for hospital-acquired SARS-CoV-2 infections: results of a confirmatory factor analysis.

Autor:	Reinoso Schiller N; Institute of Infection Control and Infectious Diseases, University Medical Center Göttingen, University of Göttingen, Göttingen, Germany., Baier C; Institute for Medical Microbiology and Hospital Epidemiology, Hannover Medical School, Hannover, Germany., Dresselhaus I; Institute of Infection Control and Infectious Diseases, University Medical Center Göttingen, University of Göttingen, Göttingen, Germany., Loderstädt U; Institute of Infection Control and Infectious Diseases, University Medical Center Göttingen, University of Göttingen, Göttingen, Germany., Schlüter D; Institute for Medical Microbiology and Hospital Epidemiology, Hannover Medical School, Hannover, Germany., Eckmanns T; Robert Koch Institute, Berlin, Germany., Scheithauer S; Institute of Infection Control and Infectious Diseases, University Medical Center Göttingen, University of Göttingen, Göttingen, Germany.
Jazyk:	angličtina
Zdroj:	Antimicrobial stewardship & healthcare epidemiology : ASHE [Antimicrob Steward Healthc Epidemiol] 2024 Sep 09; Vol. 4 (1), pp. e125. Date of Electronic Publication: 2024 Sep 09 (Print Publication: 2024).
DOI:	10.1017/ash.2024.371
Abstrakt:	Objective: The present study aims to develop and discuss an extension of hospital-acquired severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections (HA-SIs) definition which goes beyond the use of time parameters alone. Design: A confirmatory factor analysis was carried out to test a suitable definition for HA-SI. Setting and Patients: A two-center cohort study was carried out at two tertiary public hospitals in the German state of lower Saxony. The study involved a population of 366 laboratory-confirmed SARS-CoV-2-infected inpatients enrolled between March 2020 and August 2023. Results: The proposed model shows adequate fit indices (CFI.scaled = 0.959, RMSEA = 0.049). A descriptive comparison with existing classifications revealed strong features of our model, particularly its adaptability to specific regional outbreaks. Conclusion: The use of the regional incidence as a proxy variable to better define HA-SI cases represents a pragmatic and novel approach. The model aligns well with the latest scientific results in the literature. This work successfully unifies, within a single model, variables which the recent literature described as significant for the onset of HA-SI. Further potential improvements and adaptations of the model and its applications, such as automating the categorization process (in terms of hospital acquisition) or employing a comparable model for hospital-acquired influenza classification, are subjects open for discussion. Competing Interests: All authors report no conflicts of interest relevant to this article. (© The Author(s) 2024.)
Databáze:	MEDLINE
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