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10.1016/j.jemermed.2021.02.008

http://scihub22266oqcxt.onion/10.1016/j.jemermed.2021.02.008
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33785247!7871761!33785247
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suck abstract from ncbi


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pmid33785247      J+Emerg+Med 2021 ; 61 (1): 61-66
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  • COVUS: An Algorithm to Maximize the Use of Point-of-Care Ultrasound in the Emergency Management of COVID-19 #MMPMID33785247
  • Coneybeare D; Das D; Lema P; Chang B; Ng L
  • J Emerg Med 2021[Jul]; 61 (1): 61-66 PMID33785247show ga
  • 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.
  • |*COVID-19[MESH]
  • |*Point-of-Care Systems[MESH]
  • |Algorithms[MESH]
  • |Humans[MESH]
  • |SARS-CoV-2[MESH]


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