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SARS-CoV-2 Seroprevalence Across a Diverse Cohort of Healthcare Workers
Joseph Ebinger; Gregory J. Botwin; Christine M. Albert; Mona Alotaibi; Moshe Arditi; Anders H. Berg; Aleksandra Binek; Patrick G. Botting; Justyna Fert-Bober; Jane C. Figueiredo; Jonathan D. Grein; Wohaib Hasan; Mir Henglin; Shehnaz K. Hussain; Mohit Jain; Sandy Joung; Michael Karin; Elizabeth H Kim; Dalin Li; Yunxian Liu; Eric Luong; Dermot P.B. McGovern; Akil Merchant; Noah M. Merin; Peggy B. Miles; Margo Minissian; Trevor-Trung Nguyen; Koen Raedschelders; Mohamad A. Rashid; Celine E. Riera; Richard V. Riggs; Sonia Sharma; Sarah Sternbach; Nancy Sun; Warren G. Tourtellotte; Jennifer E. Van Eyk; Kimia Sobhani; Jonathan G. Braun; Susan Cheng.
Afiliação
  • Joseph Ebinger; Cedars-Sinai Medical Center
  • Gregory J. Botwin; Cedars Sinai Medical Center
  • Christine M. Albert; Cedars Sinai Medical Center
  • Mona Alotaibi; University of California, San Diego
  • Moshe Arditi; Cedars-Sinai Medical Center
  • Anders H. Berg; Cedars-Sinai Medical Center
  • Aleksandra Binek; Cedars Sinai Medical Center
  • Patrick G. Botting; Cedars-Sinai Medical Center
  • Justyna Fert-Bober; Cedars-Sinai Medical Center
  • Jane C. Figueiredo; Cedars-Sinai Medical Center
  • Jonathan D. Grein; Cedars-Sinai Medical Center
  • Wohaib Hasan; Cedars-Sinai Medical Center
  • Mir Henglin; Cedars-Sinai Medical Center
  • Shehnaz K. Hussain; Cedars-Sinai Medical Center
  • Mohit Jain; University of California, San Diego
  • Sandy Joung; Cedars-Sinai Medical Center
  • Michael Karin; University of California, San Diego
  • Elizabeth H Kim; Cedars-Sinai Medical Center
  • Dalin Li; Cedars-Sinai Medical Center
  • Yunxian Liu; Cedars-Sinai Medical Center
  • Eric Luong; Cedars-Sinai Medical Center
  • Dermot P.B. McGovern; Cedars Sinai Medical Center
  • Akil Merchant; Cedars-Sinai Medical Center
  • Noah M. Merin; Cedars-Sinai Medical Center
  • Peggy B. Miles; Cedars-Sinai Medical Center
  • Margo Minissian; Cedars-Sinai Medical Center
  • Trevor-Trung Nguyen; Cedars-Sinai Medical Center
  • Koen Raedschelders; Cedars-Sinai Medical Center
  • Mohamad A. Rashid; Cedars-Sinai Medical Center
  • Celine E. Riera; Cedars-Sinai Medical Center
  • Richard V. Riggs; Cedars-Sinai Medical Center
  • Sonia Sharma; La Jolla Institute
  • Sarah Sternbach; Cedars-Sinai Medical Center
  • Nancy Sun; Cedars-Sinai Medical Center
  • Warren G. Tourtellotte; Cedars-Sinai Medical Center
  • Jennifer E. Van Eyk; Cedars-Sinai Medical Center
  • Kimia Sobhani; Cedars-Sinai Medical Center
  • Jonathan G. Braun; Cedars-Sinai Medical Center
  • Susan Cheng; Cedars-Sinai Medical Center
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20163055
ABSTRACT
ImportanceAntibody testing is important for understanding patterns of exposure and potential immunity to SARS-CoV-2. Prior data on seroprevalence have been subject to variations in selection of individuals and nature as well as timing of testing in relation to exposures. ObjectiveWe sought to determine the extent of SARS-CoV-2 seroprevalance and the factors associated with seroprevelance across a diverse cohort of healthcare workers. DesignObservational cohort study of healthcare workers, including SARS-CoV-2 serology testing and participant questionaires. ParticipantsA diverse and unselected population of adults (n=6,062) employed in a multi-site healthcare delivery system located in Los Angeles County, including individuals with direct patient contact and others with non-patient-oriented work functions. ExposureExposure and infection with the SARS-CoV-2 virus, as determined by seropositivity. Main OutcomesUsing Bayesian and multi-variate analyses, we estimated seroprevalence and factors associated with seropositivity and antibody titers, including pre-existing demographic and clinical characteristics; potential Covid-19 illness related exposures; and, symptoms consistent with Covid-19 infection. ResultsWe observed a seroprevalence rate of 4.1%, with anosmia as the most prominently associated self-reported symptom in addition to fever, dry cough, anorexia, and myalgias. After adjusting for potential confounders, pre-existing medical conditions were not associated with antibody positivity. However, seroprevalence was associated with younger age, Hispanic ethnicity, and African-American race, as well as presence of either a personal or household member having a prior diagnosis of Covid-19. Importantly, African American race and Hispanic ethnicity were associated with antibody positivity even after adjusting for personal Covid-19 diagnosis status, suggesting the contribution of unmeasured structural or societally factors. Notably, number of people, or children, in the home was not associated with antibody positivity. Conclusion and RelevanceThe demographic factors associated with SARS-CoV-2 seroprevalence among our healthcare workers underscore the importance of exposure sources beyond the workplace. The size and diversity of our study population, combined with robust survey and modeling techniques, provide a vibrant picture of the demographic factors, exposures, and symptoms that can identify individuals with susceptibility as well as potential to mount an immune response to Covid-19. Key PointsO_ST_ABSQuestionC_ST_ABSWhat is the SARS-CoV-2 IgG seroprevalence rate across a large and diverse healthcare worker population, and which clinical, envionrmental, and symptom-based measures are associated with seropositivity? FindingsWe observed a seroprevalence rate of 4.1%. Adjusting for potential confounders, seropositivity was associated with younger age, Hispanic ethnicity, African-American race, and the symptom of anosmia, while not significantly associated with any pre-existing medical conditions. MeaningFactors associated with SARS-CoV-2 seroprevalence among our healthcare workers underscore the importance of exposure sources beyond the workplace.
Licença
cc_no
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: 2020 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: 2020 Tipo de documento: Preprint