Latent class analysis of imaging and clinical respiratory parameters from patients with COVID-19-related ARDS identifies recruitment subphenotypes

Latent class analysis of imaging and clinical respiratory parameters from patients with COVID-19-related ARDS identifies recruitment subphenotypes

Abstract Background Patients with COVID-19-related acute respiratory distress syndrome (ARDS) require respiratory support with invasive mechanical ventilation and show varying responses to recruitment manoeuvres. In patients with ARDS not related to COVID-19, two pulmonary subphenotypes that differe...

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Bibliographic Details
Main Authors: Daan F. L. Filippini, Elisa Di Gennaro, Rombout B. E. van Amstel, Ludo F. M. Beenen, Salvatore Grasso, Luigi Pisani, Lieuwe D. J. Bos, Marry R. Smit
Format: Article
Language:English
Published: BMC 2022-11-01
Series:Critical Care
Subjects:
COVID-19
ARDS
Latent class analysis
Phenotypes
Recruitment
Respiratory parameters
Online Access:https://doi.org/10.1186/s13054-022-04251-2

Internet

https://doi.org/10.1186/s13054-022-04251-2

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