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Admission COVID-19 clinical risk assessment for guiding patient placement and diagnostic testing strategy.
Jones, Nick K; Ramsay, Isobel; Moore, Elinor; Fuld, Jonathan; Adcock, Chris; Banham-Hall, Edward; Babar, Judith; Gkrania-Klotsas, Effrossyni; Mok, Hoi Ping.
  • Jones NK; Addenbrooke's Hospital, Cambridge, UK nicholas.jones@addenbrookes.nhs.uk.
  • Ramsay I; equal first authors.
  • Moore E; Addenbrooke's Hospital, Cambridge, UK.
  • Fuld J; equal first authors.
  • Adcock C; Addenbrooke's Hospital, Cambridge, UK.
  • Banham-Hall E; Addenbrooke's Hospital, Cambridge, UK.
  • Babar J; Addenbrooke's Hospital, Cambridge, UK.
  • Gkrania-Klotsas E; Addenbrooke's Hospital, Cambridge, UK.
  • Mok HP; Addenbrooke's Hospital, Cambridge, UK.
Clin Med (Lond) ; 21(2): e140-e143, 2021 Mar.
Article in English | MEDLINE | ID: covidwho-1067991
ABSTRACT

INTRODUCTION:

Without universal access to point-of-care SARS-CoV-2 testing, many hospitals rely on clinical judgement alone for identifying cases of COVID-19 early.

METHODS:

Cambridge University Hospitals NHS Foundation Trust introduced a 'traffic light' clinical judgement aid to the COVID-19 admissions unit in mid-March 2020. Ability to accurately predict COVID-19 was audited retrospectively across different stages of the epidemic.

RESULTS:

One SARS-CoV-2 PCR positive patient (1/41, 2%) was misallocated to a 'green' (non-COVID-19) area during the first period of observation, and no patients (0/32, 0%) were mislabelled 'green' during the second period. 33 of 62 (53%) labelled 'red' (high risk) tested SARS-CoV-2 PCR positive during the first period, while 5 of 22 (23%) 'red' patients were PCR positive in the second.

CONCLUSION:

COVID-19 clinical risk stratification on initial assessment effectively identifies non-COVID-19 patients. However, diagnosing COVID-19 is challenging and risk of overcalling COVID-19 should be recognised, especially when background prevalence is low.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Risk Assessment / COVID-19 Testing / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: Clin Med (Lond) Year: 2021 Document Type: Article Affiliation country: Clinmed.2020-0519

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Risk Assessment / COVID-19 Testing / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: Clin Med (Lond) Year: 2021 Document Type: Article Affiliation country: Clinmed.2020-0519