Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19: The PRIEST observational cohort study.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2021
Historique:
received: 06 11 2020
accepted: 09 01 2021
entrez: 22 1 2021
pubmed: 23 1 2021
medline: 3 2 2021
Statut: epublish

Résumé

We aimed to derive and validate a triage tool, based on clinical assessment alone, for predicting adverse outcome in acutely ill adults with suspected COVID-19 infection. We undertook a mixed prospective and retrospective observational cohort study in 70 emergency departments across the United Kingdom (UK). We collected presenting data from 22445 people attending with suspected COVID-19 between 26 March 2020 and 28 May 2020. The primary outcome was death or organ support (respiratory, cardiovascular, or renal) by record review at 30 days. We split the cohort into derivation and validation sets, developed a clinical score based on the coefficients from multivariable analysis using the derivation set, and the estimated discriminant performance using the validation set. We analysed 11773 derivation and 9118 validation cases. Multivariable analysis identified that age, sex, respiratory rate, systolic blood pressure, oxygen saturation/inspired oxygen ratio, performance status, consciousness, history of renal impairment, and respiratory distress were retained in analyses restricted to the ten or fewer predictors. We used findings from multivariable analysis and clinical judgement to develop a score based on the NEWS2 score, age, sex, and performance status. This had a c-statistic of 0.80 (95% confidence interval 0.79-0.81) in the validation cohort and predicted adverse outcome with sensitivity 0.98 (0.97-0.98) and specificity 0.34 (0.34-0.35) for scores above four points. A clinical score based on NEWS2, age, sex, and performance status predicts adverse outcome with good discrimination in adults with suspected COVID-19 and can be used to support decision-making in emergency care. ISRCTN registry, ISRCTN28342533, http://www.isrctn.com/ISRCTN28342533.

Identifiants

pubmed: 33481930
doi: 10.1371/journal.pone.0245840
pii: PONE-D-20-34978
pmc: PMC7822515
doi:

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0245840

Subventions

Organisme : Department of Health
ID : 11/46/07
Pays : United Kingdom

Commentaires et corrections

Type : UpdateOf

Déclaration de conflit d'intérêts

All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare: grant funding to their employing institutions from the National Institute for Health Research; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Références

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Auteurs

Steve Goodacre (S)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Ben Thomas (B)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Laura Sutton (L)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Matthew Burnsall (M)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Ellen Lee (E)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Mike Bradburn (M)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Amanda Loban (A)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Simon Waterhouse (S)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Richard Simmonds (R)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Katie Biggs (K)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Carl Marincowitz (C)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Jose Schutter (J)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Sarah Connelly (S)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Elena Sheldon (E)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Jamie Hall (J)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Emma Young (E)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Andrew Bentley (A)

Intensive Care, Manchester University NHS Foundation Trust, Wythenshawe Hospital, Manchester, United Kingdom.

Kirsty Challen (K)

Emergency Department, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, United Kingdom.

Chris Fitzsimmons (C)

Emergency Department, Sheffield Children's NHS Foundation Trust, Sheffield, United Kingdom.

Tim Harris (T)

Emergency Department, Barts Health NHS Trust, London, United Kingdom.

Fiona Lecky (F)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Andrew Lee (A)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

Ian Maconochie (I)

Emergency Department, Imperial College Healthcare NHS Trust, London, United Kingdom.

Darren Walter (D)

Emergency Department, Manchester University NHS Foundation Trust, Wythenshawe Hospital, Manchester, United Kingdom.

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Classifications MeSH