A comparison of emergency department presentations for medically unexplained symptoms in frequent attenders during COVID-19.


Journal

Clinical medicine (London, England)
ISSN: 1473-4893
Titre abrégé: Clin Med (Lond)
Pays: England
ID NLM: 101092853

Informations de publication

Date de publication:
07 2021
Historique:
pubmed: 22 5 2021
medline: 1 3 2022
entrez: 21 5 2021
Statut: ppublish

Résumé

Medically unexplained symptoms (MUS) are those with no identified organic aetiology. Our emergency department (ED) perceived an increase in MUS frequency during COVID-19. The primary aim was to compare MUS incidence in frequent attenders (FAs) during COVID-19 and a control period.A retrospective list of FA-MUS presenting to our ED from March to June 2019 (control) and March to June 2020 (during COVID-19) was compared. Fisher's exact test was used to compare binomial proportions; this presented as relative risk (RR) with 95% confidence intervals (95%CI).During COVID-19, ED attendances reduced by 32.7%, with a significant increase in the incidence of FA-MUS and FA-MUS ED visits compared to control; RR 1.5 (95%CI 1.1-1.8) p=0.0006, and RR 1.8 (95%CI 1.6-2.0), p<0.0001, respectively.Despite reduced ED attendances during COVID-19, there was a significant increase in the incidence of FA-MUS patients and corresponding ED visits by this cohort. This presents a challenge to ED clinicians who may feel underprepared to manage these patients effectively.

Identifiants

pubmed: 34016583
pii: clinmed.2020-1093
doi: 10.7861/clinmed.2020-1093
pmc: PMC8313219
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e399-e402

Informations de copyright

© Royal College of Physicians 2021. All rights reserved.

Auteurs

Natasha F Daniels (NF)

University of Cambridge School of Clinical Medicine, Cambridge, UK tasha.dan@outlook.com.

Raiiq Ridwan (R)

Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.

Ed Bg Barnard (EB)

Royal Centre for Defence Medicine (Research & Clinical Innovation), Birmingham, UK and Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.

Talha M Amanullah (TM)

Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.

Catherine Hayhurst (C)

Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.

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Classifications MeSH