Evidence map›Paper›PMID 34268521›Full record

ArticlemedRxiv : the preprint server for health sciences2021

Risk factors for SARS-CoV-2 seroprevalence following the first pandemic wave in UK healthcare workers in a large NHS Foundation Trust.

David Hodgson, Hayley Colton, Hailey Hornsby, Rebecca Brown, Joanne Mckenzie, Kirsty L Bradley, Cameron James, Benjamin B Lindsey, Sarah Birch, Louise Marsh and 14 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors at 3 institutions in 1 country.

David Hodgson *Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, UK.
Hayley Colton *South Yorkshire Regional Department of Infection and Tropical Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, UK.
Hailey Hornsby *Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, UK.
Rebecca BrownDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, UK.
Joanne MckenzieDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, UK.
Kirsty L BradleyDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, UK.
Cameron JamesDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, UK.
Benjamin B LindseySouth Yorkshire Regional Department of Infection and Tropical Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, UK.
Sarah BirchAcademic Directorate of Communicable Diseases and Specialised Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, UK.
Louise MarshAcademic Directorate of Communicable Diseases and Specialised Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, UK.
Steven WoodDepartment of Scientific Computing and Informatics, Sheffield Teaching Hospitals NHS Foundation Trust, UK.
Martin BayleyDepartment of Scientific Computing and Informatics, Sheffield Teaching Hospitals NHS Foundation Trust, UK.
Gary DicksonDepartment of Scientific Computing and Informatics, Sheffield Teaching Hospitals NHS Foundation Trust, UK.
David C JamesDepartment of Chemical and Biological Engineering, University of Sheffield, UK.
Martin J H NicklinDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, UK.
Jon R SayersDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, UK.
Domen ZafredDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, UK.
Sarah L Rowland-JonesSouth Yorkshire Regional Department of Infection and Tropical Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, UK.
Goura KudesiaDepartment of Virology, Sheffield Teaching Hospitals NHS Foundation Trust, UK.
Adam KucharskiCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, UK.
CMMID COVID-19 Working Group
Thomas C DartonSouth Yorkshire Regional Department of Infection and Tropical Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, UK.
Thushan I de SilvaSouth Yorkshire Regional Department of Infection and Tropical Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, UK.
Paul J ColliniSouth Yorkshire Regional Department of Infection and Tropical Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, UK.
Sheffield Teaching Hospitals NHS Foundation Trust · GBUniversity of Sheffield · GBLondon School of Hygiene & Tropical Medicine · GB

Funding

Does repeated influenza vaccination constrain influenza immune responses and protection?R01AI141534 · NIAID · UNIVERSITY OF MELBOURNE · PI FOX, ANNETTE, KUCHARSKI, ADAM JAMES · 2019 to 2023
$4.9M
NIAID NIH HHS R01 AI141534Wellcome Trust
6 · The paper itself

Abstract

backgroundWe aimed to measure SARS-CoV-2 seroprevalence in a cohort of healthcare workers (HCWs) during the first UK wave of the COVID-19 pandemic, explore risk factors associated with infection, and investigate the impact of antibody titres on assay sensitivity.

methodsHCWs at Sheffield Teaching Hospitals NHS Foundation Trust (STH) were prospectively enrolled and sampled at two time points. SARS-CoV-2 antibodies were tested using an in-house assay for IgG and IgA reactivity against Spike and Nucleoprotein (sensitivity 99·47%, specificity 99·56%). Data were analysed using three statistical models: a seroprevalence model, an antibody kinetics model, and a heterogeneous sensitivity model.

findingsAs of 12th June 2020, 24·4% (n=311/1275) HCWs were seropositive. Of these, 39·2% (n=122/311) were asymptomatic. The highest adjusted seroprevalence was measured in HCWs on the Acute Medical Unit (41·1%, 95% CrI 30·0-52·9) and in Physiotherapists and Occupational Therapists (39·2%, 95% CrI 24·4-56·5). Older age groups showed overall higher median antibody titres. Further modelling suggests that, for a serological assay with an overall sensitivity of 80%, antibody titres may be markedly affected by differences in age, with sensitivity estimates of 89% in those over 60 years but 61% in those ≤30 years.

interpretationHCWs in acute medical units working closely with COVID-19 patients were at highest risk of infection, though whether these are infections acquired from patients or other staff is unknown. Current serological assays may underestimate seroprevalence in younger age groups if validated using sera from older and/or more symptomatic individuals. RESEARCH IN CONTEXT: AUTHOR CONTRIBUTIONS:

Identifiers

PMID34268521
PMCPMC8282110
OpenAlexW3182785630

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.