COVUS: An Algorithm to Maximize the Use of Point-of-Care Ultrasound in the Emergency Management of COVID-19
| Autor: | Lorraine Ng, Bernard P. Chang, Di Coneybeare, P.C. Lema, Devjani Das |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
bedside technology
medicine.medical_specialty Coronavirus disease 2019 (COVID-19) Point-of-Care Systems 030204 cardiovascular system & hematology Academic institution 2019 novel coronavirus infection 03 medical and health sciences 0302 clinical medicine medicine Humans 030212 general & internal medicine point-of-care ultrasound Intensive care medicine Ultrasonography Protocol (science) Ultrasound in Emergency Medicine algorithm Respiratory distress Emergency management business.industry SARS-CoV-2 Point of care ultrasound Ultrasound COVID-19 thromboembolic Concomitant Emergency Medicine business cardiomyopathy Algorithms |
| Zdroj: | The Journal of Emergency Medicine |
| ISSN: | 0736-4679 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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