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

J Emerg Med. 2021 Jul;61(1):61-66. doi: 10.1016/j.jemermed.2021.02.008. Epub 2021 Feb 9.

Abstract

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.

Keywords: 2019 novel coronavirus infection; algorithm; bedside technology; cardiomyopathy; point-of-care ultrasound; thromboembolic.

Publication types

  • Review

MeSH terms

  • Algorithms
  • COVID-19*
  • Humans
  • Point-of-Care Systems*
  • SARS-CoV-2
  • Ultrasonography