Mobilisation practices during the SARS-CoV-2 pandemic : A retrospective analysis (MobiCOVID)

Copyright © 2023 Société française d'anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS. All rights reserved..

BACKGROUND: Corona Virus Disease 2019 (COVID-19) patients display risk factors for intensive care unit acquired weakness (ICUAW). The pandemic increased existing barriers to mobilisation. This study aimed to compare mobilisation practices in COVID-19 and non-COVID-19 patients.

METHODS: This retrospective cohort study was conducted at Charité-Universitätsmedizin Berlin, Germany, including adult patients admitted to one of 16 ICUs between March 2018, and November 2021. The effect of COVID-19 on mobilisation level and frequency, early mobilisation (EM) and time to active sitting position (ASP) was analysed. Subgroup analysis on COVID-19 patients and the ICU type influencing mobilisation practices was performed. Mobilisation entries were converted into the ICU mobility scale (IMS) using supervised machine learning. The groups were matched using 1:1 propensity score matching.

RESULTS: A total of 12,462 patients were included, receiving 59,415 mobilisations. After matching 611 COVID-19 and non-COVID-19 patients were analysed. They displayed no significant difference in mobilisation frequency (0.4 vs. 0.3, p = 0.7), maximum IMS (3 vs. 3; p = 0.17), EM (43.2% vs. 37.8%; p = 0.06) or time to ASP (HR 0.95; 95% CI: 0.82, 1.09; p = 0.44). Subgroup analysis showed that patients in surge ICUs, i.e., temporarily created ICUs for COVID-19 patients during the pandemic, more commonly received EM (53.9% vs. 39.8%; p = 0.03) and reached higher maximum IMS (4 vs. 3; p = 0.03) without difference in mobilisation frequency (0.5 vs. 0.3; p = 0.32) or time to ASP (HR 1.15; 95% CI: 0.85, 1.56; p = 0.36).

CONCLUSION: COVID-19 did not hinder mobilisation. Those treated in surge ICUs were more likely to receive EM and reached higher mobilisation levels.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:42

Enthalten in:

Anaesthesia, critical care & pain medicine - 42(2023), 5 vom: 01. Okt., Seite 101255

Sprache:

Englisch

Beteiligte Personen:

Schellenberg, Clara M [VerfasserIn]
Lindholz, Maximilian [VerfasserIn]
Grunow, Julius J [VerfasserIn]
Boie, Sebastian [VerfasserIn]
Bald, Annika [VerfasserIn]
Warner, Linus O [VerfasserIn]
Ulm, Bernhard [VerfasserIn]
Milnik, Annette [VerfasserIn]
Zickler, Daniel [VerfasserIn]
Angermair, Stefan [VerfasserIn]
Reißhauer, Anett [VerfasserIn]
Witzenrath, Martin [VerfasserIn]
Menk, Mario [VerfasserIn]
Balzer, Felix [VerfasserIn]
Ocker, Thomas [VerfasserIn]
Weber-Carstens, Steffen [VerfasserIn]
Schaller, Stefan J [VerfasserIn]

Links:

Volltext

Themen:

COVID-19
Early ambulation
Intensive care unit
Journal Article
Physiotherapy
SARS-CoV-2
Supervised machine learning

Anmerkungen:

Date Completed 25.09.2023

Date Revised 26.09.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.accpm.2023.101255

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM357598741