Evidence map›Paper›PMID 36788173›Full record

Observational studyInfection2023

Non-patient-related SARS-CoV-2 exposure from colleagues and household members poses the highest infection risk for hospital employees in a German university hospital: follow-up of the prospective Co-HCW seroprevalence study.

Christina Bahrs, Sebastian Weis, Miriam Kesselmeier, Juliane Ankert, Stefan Hagel, Stephanie Beier, Jens Maschmann, Andreas Stallmach, Andrea Steiner, Michael Bauer and 9 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Infection, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

19 authors at 3 institutions in 2 countries.

Christina BahrsInstitute for Infectious Diseases and Infection Control, Jena University Hospital/Friedrich-Schiller-University, Am Klinikum 1, 07747, Jena, Germany. christina.bahrs@med.uni-jena.de.ORCID http://orcid.org/0000-0002-4427-2839
Sebastian WeisInstitute for Infectious Diseases and Infection Control, Jena University Hospital/Friedrich-Schiller-University, Am Klinikum 1, 07747, Jena, Germany.ORCID http://orcid.org/0000-0003-3201-2375
Miriam KesselmeierInstitute of Medical Statistics, Computer and Data Sciences, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany.ORCID http://orcid.org/0000-0001-6462-2579
Juliane AnkertInstitute for Infectious Diseases and Infection Control, Jena University Hospital/Friedrich-Schiller-University, Am Klinikum 1, 07747, Jena, Germany.
Stefan HagelInstitute for Infectious Diseases and Infection Control, Jena University Hospital/Friedrich-Schiller-University, Am Klinikum 1, 07747, Jena, Germany.ORCID http://orcid.org/0000-0003-2999-6131
Stephanie BeierInstitute for Infectious Diseases and Infection Control, Jena University Hospital/Friedrich-Schiller-University, Am Klinikum 1, 07747, Jena, Germany.
Jens MaschmannMedical Executive Board, Würzburg University Hospital, Würzburg, Germany.
Andreas StallmachDepartment of Internal Medicine IV (Gastroenterology, Hepatology and Infectious Diseases), Jena University Hospital/Friedrich-Schiller-University, Jena, Germany.
Andrea SteinerDepartment for Occupational Health, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany.
Michael BauerDepartment of Anesthesiology and Intensive Care Therapy, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany.
Wilhelm BehringerDepartment of Emergency Medicine, Medical University of Vienna, Vienna, Austria.
Michael BaierInstitute of Medical Microbiology, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany.
Cora RichertDepartment of Clinical Chemistry and Laboratory Medicine, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany.
Florian ZepfDepartment of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany.
Martin WalterDepartment of Psychiatry and Psychotherapy, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany.
André ScheragInstitute of Medical Statistics, Computer and Data Sciences, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany.
Michael KiehntopfDepartment of Clinical Chemistry and Laboratory Medicine, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany.
Bettina LöfflerInstitute of Medical Microbiology, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany.
Mathias W PletzInstitute for Infectious Diseases and Infection Control, Jena University Hospital/Friedrich-Schiller-University, Am Klinikum 1, 07747, Jena, Germany.
Jena University Hospital · DEMedical University of Vienna · ATUniversitätsklinikum Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Co-HCW study is a prospective, longitudinal, single-center observational study that aims to assess the SARS-CoV-2 seroprevalence and infection status in staff members of Jena University Hospital (JUH) in Jena, Germany.

methodsThis follow-up study covers the observation period from 19th May 2020 to 22nd June 2021. At each of the three voluntary study visits, participants filled out a questionnaire regarding their SARS-CoV-2 exposure and provided serum samples to detect specific SARS-CoV-2 antibodies. Participants who were tested positive for antibodies against nucleocapsid and/or spike protein without previous vaccination and/or reported a positive SARS-CoV-2 PCR test were regarded to have been infected with SARS-CoV-2. Multivariable logistic regression modeling was applied to identify potential risk factors for infected compared to non-infected participants.

resultsOut of 660 participants that were included during the first study visit, 406 participants (61.5%) were eligible for the final analysis as their COVID-19 risk area (high-risk n = 76; intermediate-risk n = 198; low-risk n = 132) did not change during the study. Forty-four participants [10.8%, 95% confidence interval (95%CI) 8.0-14.3%] had evidence of a current or past SARS-CoV-2 infection detected by serology (n = 40) and/or PCR (n = 28). No association between SARS-CoV-2 infection and the COVID-19 risk group according to working place was detected. However, exposure to a SARS-CoV-2 positive household member [adjusted OR (AOR) 4.46, 95% CI 2.06-9.65] or colleague (AOR 2.30, 95%CI 1.10-4.79) was found to significantly increase the risk of a SARS-CoV-2 infection.

conclusionOur results demonstrate that non-patient-related SARS-CoV-2 exposure posed the highest infection risk for hospital staff members of JUH.

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralFollow-Up StudiesHealth PersonnelHospitals, UniversityHumansPersonnel, HospitalProspective StudiesSeroepidemiologic StudiesAntibodies, ViralHealthcare workersNon-patient-related COVID-19 contactSARS-CoV-2 infectionSeroepidemiological studiesUniversal masking

Identifiers

PMID36788173
PMCPMC9928590
OpenAlexW4320857142

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.