Current Advances in Lung Ultrasound in COVID-19 Critically Ill Patients : A Narrative Review

Lung ultrasound (LUS) has a relatively recent democratization due to the better availability and training of physicians, especially in intensive care units. LUS is a relatively cheap and easy-to-learn and -use bedside technique that evaluates pulmonary morphology when using simple algorithms. During the global COVID-19 pandemic, LUS was found to be an accurate tool to quickly diagnose, triage and monitor patients with COVID-19 pneumonia. This paper aims to provide a comprehensive review of LUS use during the COVID-19 pandemic. The first section of our work defines the technique, the practical approach and the semeiotic signs of LUS examination. The second section exposed the COVID-19 pattern in LUS examination and the difference between the differential diagnosis patterns and the well-correlation found with computer tomography scan findings. In the third section, we described the utility of LUS in the management of COVID-19 patients, allowing an early diagnosis and triage in the emergency department, as the monitoring of pneumonia course (pneumonia progression, alveolar recruitment, mechanical ventilation weaning) and detection of secondary complications (pneumothorax, superinfection). Moreover, we describe the usefulness of LUS as a marker of the prognosis of COVID-19 pneumonia in the fourth section. Finally, the 5th part is focused on describing the interest of the LUS, as a non-ionized technique, in the management of pregnant COVID-19 women.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:11

Enthalten in:

Journal of clinical medicine - 11(2022), 17 vom: 26. Aug.

Sprache:

Englisch

Beteiligte Personen:

Lê, Minh Pierre [VerfasserIn]
Jozwiak, Mathieu [VerfasserIn]
Laghlam, Driss [VerfasserIn]

Links:

Volltext

Themen:

COVID-19 pneumonia
Critically ill patients
Journal Article
LUS score
Lung ultrasound
Review

Anmerkungen:

Date Revised 13.09.2022

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/jcm11175001

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM345960114