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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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Detalles Bibliográficos
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
Descripción
Sumario: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.