Literature DB >> 33129388

Asymptomatic health-care worker screening during the COVID-19 pandemic - Authors' reply.

Thomas A Treibel1, Charlotte Manisty1, Mervyn Andiapen2, Corinna Pade3, Melanie Jensen4, Marianna Fontana5, Xosé Couto-Parada6, Teresa Cutino-Moguel6, Mahdad Noursadeghi7, James C Moon8.   

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Year:  2020        PMID: 33129388      PMCID: PMC7598568          DOI: 10.1016/S0140-6736(20)32211-X

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


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Kevin Fennelly and Christopher Whalen emphasise that health-care workers (HCWs) are at a higher risk of severe acute respiratory syndrome coronavirus 2 infection than are the general population. Angela Chow and colleagues describe their experience in Singapore of very low rates of HCW infections and nosocomial transmission when effective personal protective equipment is implemented. We agree with both perspectives, and our Correspondence did not contradict either of these viewpoints. Front-line HCWs have a reported hazard ratio of more than 3 compared with the general community. This risk is variable between studies, with reported seropositivity rates in the UK ranging from 6% to 43% across different hospital settings.3, 4 Explanations for this variation include confounding by sampling timepoints during an emerging epidemic wave, participant selection (random vs symptomatic), and rates of self-isolation, and differences in the nature of exposures, policies for infection control, and use of personal protective equipment. Our study was done when symptomatic HCWs were already required to quarantine. We sought to address the need for repeated mass screening of staff without disease-defining symptoms to help to reduce transmission associated with health care. Therefore, we focused on asymptomatic or pauci-symptomatic infection in HCWs at sequential timepoints during the first epidemic wave in London, UK, sampling only HCWs who attended work because they did not meet the symptomatic criteria to self-isolate. PCR-positive results peaked one week before the PCR-positive peak in London (which was at that time reflected mainly by symptomatic patients presenting to hospitals). We inferred from this that the peak of asymptomatic infection in our HCW cohort coincided with the peak of virus circulation in the community. Thereafter, the rates of prevalent asymptomatic infection in our cohort reduced in line with the decline in community cases, despite a persistent number of patients with COVID-19 within the hospital. Further serial swabbing of HCWs over 16 weeks to mid-August, 2020, showed no new cases (appendix p 1) and neither did extension to two further hospitals and a total of 731 participants who were studied longitudinally (data not shown). The number of HCWs who were self-isolating fell to nearly zero over this time period. Despite some persistent hospitalised cases, zero cases were identified by PCR and nearly zero HCWs were self-quarantining by approximately 4 weeks after the peak, suggesting that nosocomial transmission had ceased. A key contributor to the absence of ongoing nosocomial transmission was likely to be the effective implementation of infection control practices. Our approach to focus on asymptomatic infections underestimates the absolute incident rate of infections among HCWs, but it identifies the scale of infection missed by case-definition criteria and is likely to be a fair surrogate for the trend of incident infections. These data suggest that tracking community prevalence to trigger asymptomatic screening of HCWs is more informative than monitoring hospital caseloads.
  3 in total

1.  COVID-19: PCR screening of asymptomatic health-care workers at London hospital.

Authors:  Thomas A Treibel; Charlotte Manisty; Maudrian Burton; Áine McKnight; Jonathan Lambourne; João B Augusto; Xosé Couto-Parada; Teresa Cutino-Moguel; Mahdad Noursadeghi; James C Moon
Journal:  Lancet       Date:  2020-05-08       Impact factor: 79.321

2.  Pandemic peak SARS-CoV-2 infection and seroconversion rates in London frontline health-care workers.

Authors:  Catherine F Houlihan; Nina Vora; Thomas Byrne; Dan Lewer; Gavin Kelly; Judith Heaney; Sonia Gandhi; Moira J Spyer; Rupert Beale; Peter Cherepanov; David Moore; Richard Gilson; Steve Gamblin; George Kassiotis; Laura E McCoy; Charles Swanton; Andrew Hayward; Eleni Nastouli
Journal:  Lancet       Date:  2020-07-09       Impact factor: 79.321

3.  Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study.

Authors:  Long H Nguyen; David A Drew; Mark S Graham; Amit D Joshi; Chuan-Guo Guo; Wenjie Ma; Raaj S Mehta; Erica T Warner; Daniel R Sikavi; Chun-Han Lo; Sohee Kwon; Mingyang Song; Lorelei A Mucci; Meir J Stampfer; Walter C Willett; A Heather Eliassen; Jaime E Hart; Jorge E Chavarro; Janet W Rich-Edwards; Richard Davies; Joan Capdevila; Karla A Lee; Mary Ni Lochlainn; Thomas Varsavsky; Carole H Sudre; M Jorge Cardoso; Jonathan Wolf; Tim D Spector; Sebastien Ourselin; Claire J Steves; Andrew T Chan
Journal:  Lancet Public Health       Date:  2020-07-31
  3 in total
  3 in total

Review 1.  An Effective Mechanism for the Early Detection and Containment of Healthcare Worker Infections in the Setting of the COVID-19 Pandemic: A Systematic Review and Meta-Synthesis.

Authors:  Yueli Mei; Xiuyun Guo; Zhihao Chen; Yingzhi Chen
Journal:  Int J Environ Res Public Health       Date:  2022-05-13       Impact factor: 4.614

2.  Rapid synchronous type 1 IFN and virus-specific T cell responses characterize first wave non-severe SARS-CoV-2 infections.

Authors:  Aneesh Chandran; Joshua Rosenheim; Gayathri Nageswaran; Leo Swadling; Gabriele Pollara; Rishi K Gupta; Alice R Burton; José Afonso Guerra-Assunção; Annemarie Woolston; Tahel Ronel; Corinna Pade; Joseph M Gibbons; Blanca Sanz-Magallon Duque De Estrada; Marc Robert de Massy; Matthew Whelan; Amanda Semper; Tim Brooks; Daniel M Altmann; Rosemary J Boyton; Áine McKnight; Gabriella Captur; Charlotte Manisty; Thomas Alexander Treibel; James C Moon; Gillian S Tomlinson; Mala K Maini; Benjamin M Chain; Mahdad Noursadeghi
Journal:  Cell Rep Med       Date:  2022-03-04

3.  Plasma proteomic signature predicts who will get persistent symptoms following SARS-CoV-2 infection.

Authors:  Gabriella Captur; James C Moon; Constantin-Cristian Topriceanu; George Joy; Leo Swadling; Jenny Hallqvist; Ivan Doykov; Nina Patel; Justyna Spiewak; Tomas Baldwin; Matt Hamblin; Katia Menacho; Marianna Fontana; Thomas A Treibel; Charlotte Manisty; Ben O'Brien; Joseph M Gibbons; Corrina Pade; Tim Brooks; Daniel M Altmann; Rosemary J Boyton; Áine McKnight; Mala K Maini; Mahdad Noursadeghi; Kevin Mills; Wendy E Heywood
Journal:  EBioMedicine       Date:  2022-09-27       Impact factor: 11.205

  3 in total

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