COVID-19: could CT provide the best population level biomarker? Incidental COVID-19 in major trauma patients suggests higher than predicted rates of infection in London.


Journal

Clinical radiology
ISSN: 1365-229X
Titre abrégé: Clin Radiol
Pays: England
ID NLM: 1306016

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 03 08 2020
accepted: 28 10 2020
pubmed: 29 11 2020
medline: 5 1 2021
entrez: 28 11 2020
Statut: ppublish

Résumé

To evaluate incidental findings in major trauma patients, and to explore whether computed tomography (CT) could be used to assess prevalence and estimate disease spread in the general population. The study population included all patients admitted following major trauma between 1 January 2020 and 30 April 2020 with CT including the lungs (n=523). Major trauma patients admitted pre-COVID-19 from 1-31 January and 1-31 March 2019 comprised a control group (n=252). The assessing radiologists, blinded to the time period, used double reading with consensus to determine if the patient had CT signs of COVID-19. Lung appearances were classified as no evidence of COVID-19; minor signs; or major signs. The proportion of patients with incidental COVID-19 changes was recorded over the study period, and the percentage of the population who had been affected by COVID-19 by the end of April 2020 estimated. CT appearances consistent with COVID-19 began to exceed a background pre-COVID rate in the second week of February and did not decline until 2 weeks after lockdown. By the end of April 2020, approximately 45% of the population had been infected. CT of major trauma patients can be used to monitor the spread of COVID-19. This novel technique could be used retrospectively or prospectively anywhere where trauma scans are available, to monitor the disease in the local population.

Identifiants

pubmed: 33246570
pii: S0009-9260(20)30468-2
doi: 10.1016/j.crad.2020.10.008
pmc: PMC7603951
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

74.e15-74.e21

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Auteurs

E J Adam (EJ)

Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT, UK.

S Grubnic (S)

Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT, UK.

T M Jacob (TM)

Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT, UK. Electronic address: tmessa@hotmail.com.

J H Patel (JH)

Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT, UK.

R Blanks (R)

Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford OX3 7LF, UK.

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Classifications MeSH