Optimisation of COVID‐19 diagnostic pathways in acute hospital admissions to prevent nosocomial transmission
Optimisation of COVID‐19 diagnostic pathways in acute hospital admissions to prevent nosocomial transmission
Introduction: In the management of acute hospital admissions during the COVID-19 pandemic, safe patient cohorting depends on robust admission diagnostic strategies. It is essential that screening strategies are sensitive and rapid, to prevent nosocomial transmission of COVID-19 and maintain patient flow. Methods: We retrospectively identified all COVID-19 positive and suspected cases at our institution screened by reverse transcription polymerase chain reaction (RT-PCR) between 4 April and 28 June 2020. Using RT-PCR positivity within 7 days as our reference standard, we assessed sensitivity and net-benefit of three admission screening strategies: single admission RT-PCR, composite admission RT-PCR and CXR and repeat RT-PCR with 48 h. Results: RT-PCR single-test sensitivity was 91.5% (87.8%-94.4%) versus 97.7% (95.4%-99.1%) (p = 0.025) for RT-PCR/CXR composite testing and 95.1% (92.1%-97.2%) (p = 0.03) for repeated RT-PCR. Net-benefit was 0.83 for single RT-PCR versus 0.89 for RT-PCR/CXR and 0.87 for repeated RT-PCR at 0.02% threshold probability. Conclusion: The RT-PCR/CXR composite testing strategy was highly sensitive when screening patients at the point of hospital admission. Real-world sensitivity of this approach was comparable to repeat RT-PCR testing within 48 h; however, faster facilitating improved patient flow.
Covid-19
618 - 622
Livingstone, Robert
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Woodhead, Alexander
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Bhandari, Megha
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Dias, James
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Smith, Trevor
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Havelock, Tom
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Stammers, Matthew
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September 2022
Livingstone, Robert
ba504601-a921-4c08-bed9-73f93e9df488
Woodhead, Alexander
faf3d7b0-c9bf-4ecb-a670-1c0f824a142d
Bhandari, Megha
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Dias, James
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Smith, Trevor
53e6838c-2e95-4c8f-9325-53163ab6255d
Havelock, Tom
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Stammers, Matthew
a4ad3bd5-7323-4a6d-9c00-2c34f8ae5bd3
Livingstone, Robert, Woodhead, Alexander, Bhandari, Megha, Dias, James, Smith, Trevor, Havelock, Tom and Stammers, Matthew
(2022)
Optimisation of COVID‐19 diagnostic pathways in acute hospital admissions to prevent nosocomial transmission.
Clinical Respiratory Journal, 16 (9), .
(doi:10.1111/crj.13530).
Abstract
Introduction: In the management of acute hospital admissions during the COVID-19 pandemic, safe patient cohorting depends on robust admission diagnostic strategies. It is essential that screening strategies are sensitive and rapid, to prevent nosocomial transmission of COVID-19 and maintain patient flow. Methods: We retrospectively identified all COVID-19 positive and suspected cases at our institution screened by reverse transcription polymerase chain reaction (RT-PCR) between 4 April and 28 June 2020. Using RT-PCR positivity within 7 days as our reference standard, we assessed sensitivity and net-benefit of three admission screening strategies: single admission RT-PCR, composite admission RT-PCR and CXR and repeat RT-PCR with 48 h. Results: RT-PCR single-test sensitivity was 91.5% (87.8%-94.4%) versus 97.7% (95.4%-99.1%) (p = 0.025) for RT-PCR/CXR composite testing and 95.1% (92.1%-97.2%) (p = 0.03) for repeated RT-PCR. Net-benefit was 0.83 for single RT-PCR versus 0.89 for RT-PCR/CXR and 0.87 for repeated RT-PCR at 0.02% threshold probability. Conclusion: The RT-PCR/CXR composite testing strategy was highly sensitive when screening patients at the point of hospital admission. Real-world sensitivity of this approach was comparable to repeat RT-PCR testing within 48 h; however, faster facilitating improved patient flow.
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Accepted/In Press date: 13 July 2022
e-pub ahead of print date: 3 August 2022
Published date: September 2022
Keywords:
Covid-19
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Local EPrints ID: 477296
URI: http://eprints.soton.ac.uk/id/eprint/477296
ISSN: 1752-6981
PURE UUID: b71e2878-75f0-42de-aa47-dac479613dbc
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Date deposited: 02 Jun 2023 16:37
Last modified: 21 Sep 2024 02:15
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Contributors
Author:
Robert Livingstone
Author:
Alexander Woodhead
Author:
Megha Bhandari
Author:
James Dias
Author:
Trevor Smith
Author:
Tom Havelock
Author:
Matthew Stammers
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