Risk factors for SARS-CoV-2 infection among health care workers
Autor: | Pascal Wild, Pierre Tattevin, Pierre Gary-Bobo, Sitty Oumary, Anastasia Saade, Christophe Paris, Emilie Tadié, Ronan Garlantézec, Christopher Heslan, Vincent Thibault, Anaïs Sitruk |
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Přispěvatelé: | École des Hautes Études en Santé Publique [EHESP] (EHESP), Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), CHU Pontchaillou [Rennes], Institut national de recherche et de sécurité (Vandoeuvre lès Nancy) (INRS ( Vandoeuvre lès Nancy)), ARN régulateurs bactériens et médecine (BRM), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Biosit : biologie, santé, innovation technologique (SFR UMS CNRS 3480 - INSERM 018), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Jonchère, Laurent |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
Multivariate analysis Referral Epidemiology Health Personnel [SDV]Life Sciences [q-bio] education Physical examination Logistic regression Article 03 medical and health sciences 0302 clinical medicine Seroepidemiologic Studies [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases Health care Humans Medicine 030212 general & internal medicine medicine.diagnostic_test business.industry SARS-CoV-2 Health Policy Prevention Confounding Health Care Workers Public Health Environmental and Occupational Health COVID-19 3. Good health [SDV] Life Sciences [q-bio] Infectious Diseases Risk factors Eye examination 030220 oncology & carcinogenesis Emergency medicine [SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases business |
Zdroj: | American Journal of Infection Control American Journal of Infection Control, Elsevier, 2021, ⟨10.1016/j.ajic.2021.11.001⟩ American Journal of Infection Control, 2022, 50 (4), pp.375-382. ⟨10.1016/j.ajic.2021.11.001⟩ |
ISSN: | 1527-3296 0196-6553 |
DOI: | 10.1016/j.ajic.2021.11.001⟩ |
Popis: | International audience; BACKGROUND: Health care workers (HCWs) are on the front line for COVID-19. Better knowledge of risk factors for SARS-CoV-2 infection is crucial for their protection. We aimed to identify these risk factors with a focus on care activities. METHODS: We conducted a seroprevalence survey among HCWs in a French referral hospital. Data on COVID-19 exposures, care activities, and protective equipment were collected on a standardized questionnaire. Multivariate logistic regressions were used to assess risk factors for SARS-CoV-2 IgG adjusted on potential confounding. FINDINGS: Among the 3,234 HCWs enrolled, the prevalence of SARS-CoV-2 IgG was 3.8%. Risk factors included contact with relatives or HCWs with COVID-19 (OR 2.20 [1.40-3.45] and 2.16 [1.46-3.18], respectively), but not contact with COVID-19 patients. In multivariate analyses, suboptimal use of protective equipment during nasopharyngeal sampling (OR 3.46 [1.15-10.40]), mobilisation of patients in bed (OR 3.30 [1.51-7.25]), clinical examination (OR 2.51 [1.16-5.43]), and eye examination (OR 2.90 [1.01-8.35]) were associated with SARS-CoV-2 infection. Patients washing and dressing and aerosol-generating procedures were additional risk factors, with or without appropriate use of protective equipment (OR 1.37 [1.04-1.81] and 1.74 [1.05-2.88]). CONCLUSION: Risk factors for SARS-CoV-2 infection among HCWs are i) contact with relatives or HCWs with COVID-19, ii) close or prolonged contact with patients, iii) aerosol-generating procedures. Enhanced protective measures during the two latter care-activities may be warranted. |
Databáze: | OpenAIRE |
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