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Author: Jones, Nick K; Ramsay, Isobel; Moore, Elinor; Fuld, Jonathan; Adcock, Chris; Banham-Hall, Edward; Babar, Judith; Gkrania-Klotsas, Effrossyni; Mok, Hoi Ping
Title: Admission COVID-19 clinical risk assessment for guiding patient placement and diagnostic testing strategy.
  • Cord-id: xmv66zwg
  • Document date: 2021_2_4
  • ID: xmv66zwg
    Snippet: 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 misall
    Document: 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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