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COVUS: An Algorithm to Maximize the Use of Point-of-Care Ultrasound in the Emergency Management of COVID-19

BACKGROUND: Patients with coronavirus disease 2019 (COVID-19) present with diagnostic challenges because COVID-19 can cause varied end-organ failures that mimic respiratory distress of pulmonary origin. Early identification of concurrent complications can significantly alter patient management and c...

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Autores principales: Coneybeare, Di, Das, Devjani, Lema, Penelope, Chang, Bernard, Ng, Lorraine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871761/
https://www.ncbi.nlm.nih.gov/pubmed/33785247
http://dx.doi.org/10.1016/j.jemermed.2021.02.008
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author Coneybeare, Di
Das, Devjani
Lema, Penelope
Chang, Bernard
Ng, Lorraine
author_facet Coneybeare, Di
Das, Devjani
Lema, Penelope
Chang, Bernard
Ng, Lorraine
author_sort Coneybeare, Di
collection PubMed
description BACKGROUND: Patients with coronavirus disease 2019 (COVID-19) present with diagnostic challenges because COVID-19 can cause varied end-organ failures that mimic respiratory distress of pulmonary origin. Early identification of concurrent complications can significantly alter patient management and course. Point-of-care ultrasound (POCUS) can be particularly useful in helping to differentiate concomitant complications with COVID-19. While lung POCUS findings related to COVID-19 have been published, little guidance exists on how ultrasound can be incorporated into a more comprehensive evaluation of patients under investigation for COVID-19. OBJECTIVES: We devised a pathway called COVUS that incorporates POCUS into the initial evaluation of patients under investigation for COVID-19 to guide diagnosis and management. DISCUSSION: The pathway was derived based on a review of literature, consensus from the ultrasound faculty, as well as feedback from the entire faculty group at one academic institution with high volumes of patients with COVID-19. The scanning protocol uses a cardiac-first (rather than lung-first) approach to identify potential concomitant organ failure that may immediately alter management. CONCLUSIONS: COVUS aims to maximize identification of the most immediately life-threatening complications while minimizing time at bedside and provider risk of exposure to COVID-19.
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spelling pubmed-78717612021-02-10 COVUS: An Algorithm to Maximize the Use of Point-of-Care Ultrasound in the Emergency Management of COVID-19 Coneybeare, Di Das, Devjani Lema, Penelope Chang, Bernard Ng, Lorraine J Emerg Med Ultrasound in Emergency Medicine BACKGROUND: Patients with coronavirus disease 2019 (COVID-19) present with diagnostic challenges because COVID-19 can cause varied end-organ failures that mimic respiratory distress of pulmonary origin. Early identification of concurrent complications can significantly alter patient management and course. Point-of-care ultrasound (POCUS) can be particularly useful in helping to differentiate concomitant complications with COVID-19. While lung POCUS findings related to COVID-19 have been published, little guidance exists on how ultrasound can be incorporated into a more comprehensive evaluation of patients under investigation for COVID-19. OBJECTIVES: We devised a pathway called COVUS that incorporates POCUS into the initial evaluation of patients under investigation for COVID-19 to guide diagnosis and management. DISCUSSION: The pathway was derived based on a review of literature, consensus from the ultrasound faculty, as well as feedback from the entire faculty group at one academic institution with high volumes of patients with COVID-19. The scanning protocol uses a cardiac-first (rather than lung-first) approach to identify potential concomitant organ failure that may immediately alter management. CONCLUSIONS: COVUS aims to maximize identification of the most immediately life-threatening complications while minimizing time at bedside and provider risk of exposure to COVID-19. Elsevier Inc. 2021-07 2021-02-09 /pmc/articles/PMC7871761/ /pubmed/33785247 http://dx.doi.org/10.1016/j.jemermed.2021.02.008 Text en © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Ultrasound in Emergency Medicine
Coneybeare, Di
Das, Devjani
Lema, Penelope
Chang, Bernard
Ng, Lorraine
COVUS: An Algorithm to Maximize the Use of Point-of-Care Ultrasound in the Emergency Management of COVID-19
title COVUS: An Algorithm to Maximize the Use of Point-of-Care Ultrasound in the Emergency Management of COVID-19
title_full COVUS: An Algorithm to Maximize the Use of Point-of-Care Ultrasound in the Emergency Management of COVID-19
title_fullStr COVUS: An Algorithm to Maximize the Use of Point-of-Care Ultrasound in the Emergency Management of COVID-19
title_full_unstemmed COVUS: An Algorithm to Maximize the Use of Point-of-Care Ultrasound in the Emergency Management of COVID-19
title_short COVUS: An Algorithm to Maximize the Use of Point-of-Care Ultrasound in the Emergency Management of COVID-19
title_sort covus: an algorithm to maximize the use of point-of-care ultrasound in the emergency management of covid-19
topic Ultrasound in Emergency Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871761/
https://www.ncbi.nlm.nih.gov/pubmed/33785247
http://dx.doi.org/10.1016/j.jemermed.2021.02.008
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