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10.1007/s12630-020-01704-6

http://scihub22266oqcxt.onion/10.1007/s12630-020-01704-6
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suck abstract from ncbi


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pmid32440906      Can+J+Anaesth 2020 ; 67 (10): 1393-1404
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  • Proposition d'un algorithme base sur l'echographie pulmonaire et le phenotype physiologique pour la prise en charge des patients atteints de la COVID-19 souffrant d'insuffisance respiratoire aigue #MMPMID32440906
  • Denault AY; Delisle S; Canty D; Royse A; Royse C; Serra XC; Gebhard CE; Couture EJ; Girard M; Cavayas YA; Peschanski N; Langevin S; Ouellet P
  • Can J Anaesth 2020[Oct]; 67 (10): 1393-1404 PMID32440906show ga
  • 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.
  • |*Ultrasonography[MESH]
  • |Acute Disease[MESH]
  • |Algorithms[MESH]
  • |COVID-19[MESH]
  • |Coronavirus Infections/*complications/diagnostic imaging[MESH]
  • |Humans[MESH]
  • |Lung/*diagnostic imaging/physiopathology/virology[MESH]
  • |Oxygen/metabolism[MESH]
  • |Pandemics[MESH]
  • |Phenotype[MESH]
  • |Pneumonia, Viral/*complications/diagnostic imaging[MESH]
  • |Point-of-Care Systems[MESH]
  • |Respiratory Insufficiency/*diagnostic imaging/virology[MESH]


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