Evidence map›Paper›PMID 39257431›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2024

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

Nicolás Reinoso Schiller, Claas Baier, Isabella Dresselhaus, Ulrike Loderstädt, Dirk Schlüter, Tim Eckmanns, Simone Scheithauer

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Nicolás Reinoso SchillerInstitute of Infection Control and Infectious Diseases, University Medical Center Göttingen, University of Göttingen, Göttingen, Germany.ORCID https://orcid.org/0000-0003-2006-9016
Claas BaierInstitute for Medical Microbiology and Hospital Epidemiology, Hannover Medical School, Hannover, Germany.ORCID https://orcid.org/0000-0003-3895-5446
Isabella DresselhausInstitute of Infection Control and Infectious Diseases, University Medical Center Göttingen, University of Göttingen, Göttingen, Germany.
Ulrike LoderstädtInstitute of Infection Control and Infectious Diseases, University Medical Center Göttingen, University of Göttingen, Göttingen, Germany.
Dirk SchlüterInstitute for Medical Microbiology and Hospital Epidemiology, Hannover Medical School, Hannover, Germany.ORCID https://orcid.org/0000-0003-1478-3328
Tim EckmannsRobert Koch Institute, Berlin, Germany.
Simone ScheithauerInstitute of Infection Control and Infectious Diseases, University Medical Center Göttingen, University of Göttingen, Göttingen, Germany.ORCID https://orcid.org/0000-0003-0773-4739

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID39257431
PMCPMC11384156

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.