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

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

Journal

Anaesthesia, critical care & pain medicine
ISSN: 2352-5568
Titre abrégé: Anaesth Crit Care Pain Med
Pays: France
ID NLM: 101652401

Informations de publication

Date de publication:
10 2023
Historique:
received: 07 03 2023
revised: 17 05 2023
accepted: 24 05 2023
medline: 25 9 2023
pubmed: 1 6 2023
entrez: 31 5 2023
Statut: ppublish

Résumé

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

Sections du résumé

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.

Identifiants

pubmed: 37257753
pii: S2352-5568(23)00063-2
doi: 10.1016/j.accpm.2023.101255
pmc: PMC10226277
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

101255

Informations de copyright

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

Auteurs

Clara M Schellenberg (CM)

Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anesthesiology and Intensive Care Medicine | CCM | CVK, Berlin, Germany.

Maximilian Lindholz (M)

Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anesthesiology and Intensive Care Medicine | CCM | CVK, Berlin, Germany.

Julius J Grunow (JJ)

Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anesthesiology and Intensive Care Medicine | CCM | CVK, Berlin, Germany.

Sebastian Boie (S)

Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Informatics, Berlin, Germany.

Annika Bald (A)

Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anesthesiology and Intensive Care Medicine | CCM | CVK, Berlin, Germany.

Linus O Warner (LO)

Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anesthesiology and Intensive Care Medicine | CCM | CVK, Berlin, Germany.

Bernhard Ulm (B)

Technical University of Munich, School of Medicine, Department of Anesthesiology and Intensive Care, Munich, Germany; Department of Anaesthesiology and Intensive Care Medicine, School of Medicine, University Hospital Ulm, Ulm, Germany.

Annette Milnik (A)

Research Platform Molecular and Cognitive Neurosciences (MCN), Department of Biomedicine, University of Basel, Basel, Switzerland.

Daniel Zickler (D)

Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Nephrology and Medical Intensive Care, Berlin, Germany.

Stefan Angermair (S)

Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anesthesiology and Intensive Care Medicine (CBF), Berlin, Germany.

Anett Reißhauer (A)

Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Rehabilitation Medicine, Berlin, Germany.

Martin Witzenrath (M)

Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases, Pulmonary Medicine and Critical Care, Berlin, Germany; German Center for Lung Research (DZL), Berlin, Germany.

Mario Menk (M)

Department of Anesthesiology and Intensive Care Medicine, University Hospital "Carl Gustav Carus", Technische Universität Dresden, Dresden, Germany.

Felix Balzer (F)

Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Informatics, Berlin, Germany.

Thomas Ocker (T)

Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anesthesiology and Intensive Care Medicine | CCM | CVK, Berlin, Germany; Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Informatics, Berlin, Germany.

Steffen Weber-Carstens (S)

Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anesthesiology and Intensive Care Medicine | CCM | CVK, Berlin, Germany.

Stefan J Schaller (SJ)

Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anesthesiology and Intensive Care Medicine | CCM | CVK, Berlin, Germany; Technical University of Munich, School of Medicine, Department of Anesthesiology and Intensive Care, Munich, Germany. Electronic address: stefan.schaller@charite.de.

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