Your browser doesn't support javascript.
loading
Non-patient related SARS-CoV-2 exposure to colleagues and household members impose the highest infection risk for hospital employees with and without patient contact in a German university hospital: follow-up of the prospective Co-HCW Seroprevalence study
Christina Bahrs; Sebastian Weis; Miriam Kesselmeier; Juliane Ankert; Stefan Hagel; Stefanie Beier; Jens Maschmann; Andreas Stallmach; Andrea Steiner; Michael Bauer; Wilhelm Behringer; Michael Baier; Cora Richert; Florian Zepf; Martin Walter; Andre Scherag; Michael Kiehntopf; Bettina Loeffler; Mathias Pletz.
Afiliação
  • Christina Bahrs; Institute for Infectious Diseases and Infection Control, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany
  • Sebastian Weis; Institute for Infectious Diseases and Infection Control, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany. Leibniz Institute for Natural Pr
  • Miriam Kesselmeier; Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany
  • Juliane Ankert; Institute for Infectious Diseases and Infection Control, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany
  • Stefan Hagel; Institute for Infectious Diseases and Infection Control, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany
  • Stefanie Beier; Institute for Infectious Diseases and Infection Control, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany
  • Jens Maschmann; Medical Executive Board, Wuerzburg University Hospital, Germany
  • Andreas Stallmach; Department of Internal Medicine IV, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany
  • Andrea Steiner; Department of Occupational Health, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany
  • Michael Bauer; Department of Anestehsiology and Intensive Care Therapy, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany
  • Wilhelm Behringer; Department of Emergency Medicine, Medical University of Vienna, Vienna, Austria
  • Michael Baier; Institute of Medical Microbiology, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany
  • Cora Richert; Department of Clinical Chemistry and Laboratory Medicine, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany
  • Florian Zepf; Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany
  • Martin Walter; Department of Psychiatry and Psychotherapy, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany
  • Andre Scherag; Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany
  • Michael Kiehntopf; Department of Clinical Chemistry and Laboratory Medicine, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany
  • Bettina Loeffler; Institute of Medical Microbiology, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany
  • Mathias Pletz; Institute for Infectious Diseases and Infection Control, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-22280728
ABSTRACT
BackgroundThe Co-HCW study is a prospective, longitudinal single center observational study on the SARS-CoV-2 seroprevalence and infection status in staff members of Jena University Hospital (JUH) in Jena, Germany. Material and MethodsThis follow-up study covers the observation period from 19th May 2020 to 22nd June 2021. At each out of three voluntary study visits, participants filled out a questionnaire on individual SARS-CoV-2 exposure. In addition, serum samples to assess specific SARS-CoV-2 antibodies were collected. Participants with antibodies against nucleocapsid and/or spike protein without previous vaccination and/or a reported positive SARS-CoV-2 PCR test were regarded as participants with detected SARS-CoV-2 infection. 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 final analysis as they did not change the COVID-19 risk area (high-risk n=76; intermediate-risk n=198; low-risk n=132) 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 of any SARS-CoV-2 infection with the COVID-19 risk group according to working place could be detected. But 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) significantly increased the risk of a SARS-CoV-2 infection. ConclusionOur results demonstrate that non-patient-related SARS-CoV-2 exposure imposed the highest infection risk in hospital staff members of JUH.
Licença
cc_by_nc_nd
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Cohort_studies / Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Cohort_studies / Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Preprint