Lung Ultrasonography for Risk Stratification in Patients with Coronavirus Disease 2019 (COVID-19): A Prospective

Thomas Brahier1, Jean-Yves Meuwly2, Olivier Pantet3

  • 1Infectious Diseases Service, University Hospital and University of Lausanne, Lausanne, Switzerland.

Insights

Lung ultrasonography (LUS) effectively risk-stratifies coronavirus disease 2019 (COVID-19) patients in the emergency department. Abnormal LUS findings correlate with disease severity, aiding in early patient triage.

Area of Science:

  • Medical Imaging
  • Pulmonology
  • Infectious Diseases

Background:

  • Coronavirus disease 2019 (COVID-19) presents a significant global health challenge.
  • Early risk stratification is crucial for managing COVID-19 patients effectively.
  • Lung ultrasonography (LUS) has emerged as a potential tool for assessing respiratory conditions.

Purpose of the Study:

  • To describe and compare lung ultrasonography (LUS) characteristics in COVID-19 patients.
  • To evaluate the utility of LUS for risk stratification based on clinical outcomes.
  • To assess the potential of LUS as an early triage tool in the emergency department.

Main Methods:

  • Prospective observational study of polymerase chain reaction-confirmed COVID-19 adult patients.
  • Standardized LUS protocol used for image acquisition within 24 hours of presentation.
  • LUS findings were analyzed and compared between outpatients, hospitalized, and intubated/deceased patient groups.

Main Results:

  • 91% of COVID-19 patients exhibited abnormal LUS findings.
  • The proportion of lung involvement and specific LUS patterns (pleural thickening, B-lines) correlated with clinical outcomes.
  • Normalized LUS scores demonstrated good discrimination between different patient outcome groups (AUC = 0.80).

Conclusions:

  • Lung ultrasonography (LUS) is a promising, accessible tool for early risk stratification of COVID-19 patients.
  • LUS findings can differentiate between patients with varying disease severity.
  • Systematic LUS can aid emergency departments in efficient patient triage during the COVID-19 pandemic.
Abstract

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