Pulmonary complications are the most common clinical manifestations of coronavirus disease (COVID-19). From recent clinical observation, two phenotypes have emerged: a low elastance or L-type and a high elastance or H-type. Clinical presentation, pathophysiology, pulmonary mechanics, radiological and ultrasound findings of these two phenotypes are different. Consequently, the therapeutic approach also varies between the two. We propose a management algorithm that combines the respiratory rate and oxygenation index with bedside lung ultrasound examination and monitoring that could help determine earlier the requirement for intubation and other surveillance of COVID-19 patients with respiratory failure. Résumé Les complications pulmonaires du coronavirus (COVID-19) constituent ses manifestations cliniques les plus fre´quentes. De re´centes observations cliniques ont fait e´merger deux phe´notypes : le phe´notype a`e´lastance faible Electronic supplementary material The online version of this article (

IMPORTANCEThere are accumulating data about the utility of diagnostic multiorgan focused clinical ultrasonography (FCU) in the assessment of patients admitted with cardiopulmonary symptoms. OBJECTIVE To determine whether adding multiorgan FCU to the initial clinical evaluation of patients admitted with cardiopulmonary symptoms reduces hospital length of stay, hospital readmissions, and in-hospital costs.

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The aim in this systematic review was to determine the effect of point-of-care ultrasound (POCUS) on the clinical decision-making process and patient outcomes in adults admitted to the general medicine ward. A comprehensive search was performed in MEDLINE (Ovid), EMBASE (Ovid), PubMed, the Cochrane Library, ClinicalTrials.gov, Scopus, LILACS and Cinahl. Articles had to fulfill the inclusion criteria of randomised or non-randomised studies assessing the impact of POCUS on the diagnosis, management, length of hospital stay or mortality of patients admitted to the internal medicine ward. Six studies were included involving a total of 1836 patients. The influence of POCUS on the diagnosis was reported as a change in the main diagnosis or the addition of a relevant diagnosis in up to 18% and 24% of the cases, respectively. Impact on the management plan was reported in 37% to 52.1% of the participants. Three studies documented the impact of POCUS on the length of stay. Two of them reported no difference between groups, and the other reported a significant reduction of 1 d of the hospital stay. In conclusion, POCUS appears to have positive effects on the clinical decision-making process with impacts on optimal patient management and possible reduction in the hospital length of stay.

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