Evaluating early mobilisation in critically ill COVID-19 patients: Secondary analysis from the ESICM UNITE-COVID-II multicentre observational study

Maximilian Markus, Maximilian Lindholz, Nils Daum, Anne Pohrt, Elie Azoulay, Maurizio Cecconi, Giuseppe Citerio, Thomas De Corte, Frantisek Duska, Laura Galarza, Massimiliano Greco, Armand R.J. Girbes, Jozef Kesecioglu, Johannes Mellinghoff, Marlies Ostermann, Mariangela Pellegrini, Jean-Louis Teboul, Jan J. De Waele, Adrian Wong, Stefan J. Schaller

Research output: Contribution to journalArticlepeer-review

Abstract

Background Early mobilisation (EM) within the first 72 hours of ICU admission is essential for preventing ICU-acquired weakness; however, mobilisation rates remained low among mechanically ventilated (MV) COVID-19 patients during the pandemic waves. This study aimed to characterise the association between EM and 60-day outcomes. Methods A multicentre observational study conducted by the European Society of Intensive Care Medicine (ESICM) examined mobilisation strategies during the second COVID-19 wave (UNITE-COVIDed2021). All patients with confirmed SARS-CoV-2 infection who were in the ICU on the peak day between 1 January and 1 June 2021 were included. The analysis expanded on the UNITE-COVIDed2020 study, comparing the first and second COVID-19 waves using a combined dataset. Results Data from 2,053 patients during the second wave across 103 ICUs in 35 countries were analysed and compared with 4,190 patients from the first wave. EM was achieved in 801 (39%) vs. 1114 (27%), p 
Original languageEnglish
Article number101550
Number of pages9
JournalAnaesthesia Critical Care & Pain Medicine
Volume44
Issue number4
DOIs
Publication statusPublished - 17 May 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s)

Keywords

  • Early mobilisation
  • COVID-19 patients
  • Multicentre study
  • ICUAW
  • ESICM
  • UNITE-COVID

Fingerprint

Dive into the research topics of 'Evaluating early mobilisation in critically ill COVID-19 patients: Secondary analysis from the ESICM UNITE-COVID-II multicentre observational study'. Together they form a unique fingerprint.

Cite this