COVID-19: Healthcare Worker Bioresource: Immune Protection and Pathogenesis in SARS-CoV-2
COVID19-HCW
1 other identifier
observational
731
1 country
2
Brief Summary
Modelling repurposed from pandemic influenza is currently informing all strategies for SARS-CoV-2 and the disease COVID-19. A customized disease specific understanding will be important to understand subsequent disease waves, vaccine development and therapeutics. For this reason, ISARIC (the International Severe Acute Respiratory and Emerging Infection Consortium) was set up in advance. This focuses on hospitalised and convalescent serum samples to understand severe illness and associated immune response. However, many subjects are seroconverting with mild or even subclinical disease. Information is needed about subclinical infection, the significance of baseline immune status and the earliest immune changes that may occur in mild disease to compare with those of SARS-CoV-2. There is also a need to understand the vulnerability and response to COVID-19 of the NHS workforce of healthcare workers (HCWs). HCW present a cohort with likely higher exposure and seroconversion rates than the general population, but who can be followed up with potential for serial testing enabling an insight into early disease and markers of risk for disease severity. We have set up "COVID-19: Healthcare worker Bioresource: Immune Protection and Pathogenesis in SARS-CoV-2". This urgent fieldwork aims to secure significant (n=400) sampling of healthcare workers (demographics, swabs, blood sampling) at baseline, and weekly whilst they are well and attending work, with acute sampling (if hospitalised, via ISARIC, if their admission hospital is part of the ISARIC network) and convalescent samples post illness. These will be used to address specific questions around the impact of baseline immune function, the earliest immune responses to infection, and the biology of those who get non-hospitalized disease for local research and as a national resource. The proposal links directly with other ongoing ISARIC and community COVID projects sampling in children and the older age population. Reasonable estimates suggest the usable window for baseline sampling of NHS HCW is closing fast (e.g. baseline sampling within 3 weeks).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Mar 2020
Typical duration for all trials
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 17, 2020
CompletedStudy Start
First participant enrolled
March 18, 2020
CompletedFirst Posted
Study publicly available on registry
March 23, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 30, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
April 30, 2022
CompletedFebruary 22, 2022
February 1, 2022
1.1 years
March 17, 2020
February 21, 2022
Conditions
Outcome Measures
Primary Outcomes (1)
Seroconversion to SARS-CoV-2 positivity
Home-isolation or hospital admission
Within 12 months
Study Arms (1)
Healthy and asymptomatic healthcare workers
Healthy and asymptomatic healthcare workers
Interventions
COPAN swabbing of nostrils and/or oropharynx and blood sample collection
Eligibility Criteria
Healthy asymptomatic healthcare workers attending their usual place of work that can be St Bartholomew's Hospital, Royal Free London or UCLH.
You may qualify if:
- Age at least 18 years AND
- Asymptomatic (meaning healthy enough to attend work according to Trust policy at the time) AND
- Work in the designated clinical environments for at least 5 hours for at least one day during the study period.
- Participants will be free to withdraw from the study at any point, but collection of these data is considered to be in the public interest and will fall under the scope of a 'Public task' by the GDPR definition. Under these conditions rights to erasure and data portability do not apply, and archiving and further processing for scientific research purposes is compatible with the original purpose; no further participant data from medical records will be collected.
- The research team may withdraw a participant from the study in the following situations:
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University College, Londonlead
- St. Bartholomew's Hospitalcollaborator
- Royal Free Hospital NHS Foundation Trustcollaborator
- UCLHcollaborator
Study Sites (2)
Barts Heart Center
London, United Kingdom
Royal Free London NHS Foundation Trust
London, United Kingdom
Related Publications (5)
Altmann DM, Reynolds CJ, Joy G, Otter AD, Gibbons JM, Pade C, Swadling L, Maini MK, Brooks T, Semper A, McKnight A, Noursadeghi M, Manisty C, Treibel TA, Moon JC; COVIDsortium investigators; Boyton RJ. Persistent symptoms after COVID-19 are not associated with differential SARS-CoV-2 antibody or T cell immunity. Nat Commun. 2023 Aug 23;14(1):5139. doi: 10.1038/s41467-023-40460-1.
PMID: 37612310DERIVEDWing PAC, Schmidt NM, Peters R, Erdmann M, Brown R, Wang H, Swadling L; COVIDsortium Investigators; Newman J, Thakur N, Shionoya K, Morgan SB, Hinks TS, Watashi K, Bailey D, Hansen SB, Davidson AD, Maini MK, McKeating JA. An ACAT inhibitor suppresses SARS-CoV-2 replication and boosts antiviral T cell activity. PLoS Pathog. 2023 May 3;19(5):e1011323. doi: 10.1371/journal.ppat.1011323. eCollection 2023 May.
PMID: 37134108DERIVEDDoykov I, Baldwin T, Spiewak J, Gilmour KC, Gibbons JM, Pade C, Reynolds CJ, Aine McKnight, Noursadeghi M, Maini MK, Manisty C, Treibel T, Captur G, Fontana M, Boyton RJ, Altmann DM, Brooks T, Semper A; UK COVIDsortium Investigators; Moon JC, Kevin Mills, Heywood WE. Quantitative, multiplexed, targeted proteomics for ascertaining variant specific SARS-CoV-2 antibody response. Cell Rep Methods. 2022 Sep 19;2(9):100279. doi: 10.1016/j.crmeth.2022.100279. Epub 2022 Aug 12.
PMID: 35975199DERIVEDAstbury S, Reynolds CJ, Butler DK, Munoz-Sandoval DC, Lin KM, Pieper FP, Otter A, Kouraki A, Cusin L, Nightingale J, Vijay A, Craxford S, Aithal GP, Tighe PJ, Gibbons JM, Pade C, Joy G, Maini M, Chain B, Semper A, Brooks T, Ollivere BJ, McKnight A, Noursadeghi M, Treibel TA, Manisty C, Moon JC; COVIDsortium Investigators*; Valdes AM, Boyton RJ, Altmann DM. HLA-DR polymorphism in SARS-CoV-2 infection and susceptibility to symptomatic COVID-19. Immunology. 2022 May;166(1):68-77. doi: 10.1111/imm.13450. Epub 2022 Mar 8.
PMID: 35156709DERIVEDValdes AM, Moon JC, Vijay A, Chaturvedi N, Norrish A, Ikram A, Craxford S, Cusin LML, Nightingale J, Semper A, Brooks T, McKnight A, Kurdi H, Menni C, Tighe P, Noursadeghi M, Aithal G, Treibel TA, Ollivere BJ, Manisty C. Longitudinal assessment of symptoms and risk of SARS-CoV-2 infection in healthcare workers across 5 hospitals to understand ethnic differences in infection risk. EClinicalMedicine. 2021 Apr;34:100835. doi: 10.1016/j.eclinm.2021.100835. Epub 2021 Apr 15.
PMID: 33880438DERIVED
Biospecimen
Blood samples Nasal and oropharygeal swabs Saliva samples
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
James C Moon
BHC & UCL
- STUDY DIRECTOR
Charlotte Manisty
BHC & UCL
- PRINCIPAL INVESTIGATOR
Thomas Treibel
Barts Heart Center
Central Study Contacts
Mahdad Noursadeghi
CONTACT
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 12 Months
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 17, 2020
First Posted
March 23, 2020
Study Start
March 18, 2020
Primary Completion
April 30, 2021
Study Completion
April 30, 2022
Last Updated
February 22, 2022
Record last verified: 2022-02
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, ICF
- Time Frame
- 24 months
Publication of results in open access journals; sharing of results in scientific databases.