Science and Research

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

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.

  • Schellenberg, C. M.
  • Lindholz, M.
  • Grunow, J. J.
  • Boie, S.
  • Bald, A.
  • Warner, L. O.
  • Ulm, B.
  • Milnik, A.
  • Zickler, D.
  • Angermair, S.
  • Reißhauer, A.
  • Witzenrath, M.
  • Menk, M.
  • Balzer, F.
  • Ocker, T.
  • Weber-Carstens, S.
  • Schaller, S. J.

Keywords

  • Covid-19
  • Early ambulation
  • Intensive care unit
  • Physiotherapy
  • SARS-CoV-2
  • Supervised machine learning
Publication details
DOI: 10.1016/j.accpm.2023.101255
Journal: Anaesth Crit Care Pain Med
Pages: 101255 
Number: 5
Work Type: Original
Location: Assoziierter Partner
Disease Area: PALI
Partner / Member: BIH
Access-Number: 37257753

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