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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
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
1752-6981
618 - 622
Livingstone, Robert
ba504601-a921-4c08-bed9-73f93e9df488
Woodhead, Alexander
faf3d7b0-c9bf-4ecb-a670-1c0f824a142d
Bhandari, Megha
3fa5520b-34ee-4294-8fd7-38082ae86bad
Dias, James
3eff2a0e-91a1-4adc-afe4-4ed4387eae63
Smith, Trevor
53e6838c-2e95-4c8f-9325-53163ab6255d
Havelock, Tom
8f9aa3be-a768-4a7b-bcd4-79656e2b188c
Stammers, Matthew
9350205a-3938-4d75-8e86-233a38cdbb0e
Livingstone, Robert
ba504601-a921-4c08-bed9-73f93e9df488
Woodhead, Alexander
faf3d7b0-c9bf-4ecb-a670-1c0f824a142d
Bhandari, Megha
3fa5520b-34ee-4294-8fd7-38082ae86bad
Dias, James
3eff2a0e-91a1-4adc-afe4-4ed4387eae63
Smith, Trevor
53e6838c-2e95-4c8f-9325-53163ab6255d
Havelock, Tom
8f9aa3be-a768-4a7b-bcd4-79656e2b188c
Stammers, Matthew
9350205a-3938-4d75-8e86-233a38cdbb0e

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), 618 - 622. (doi:10.1111/crj.13530).

Record type: Article

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

Identifiers

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: 17 Mar 2024 02:06

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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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