Evidence map›Paper›PMID 35473451›Full record

ArticleJournal of intensive care medicine2022

Mobilization and Rehabilitation Practice in ICUs During the COVID-19 Pandemic.

Keibun Liu, Kensuke Nakamura, Sapna R Kudchadkar, Hajime Katsukawa, Peter Nydahl, Eugene Wesley Ely, Kunihiko Takahashi, Shigeaki Inoue, Osamu Nishida

Open access · bronzeAbstract read
In one paragraph

Article in Journal of intensive care medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Patient, Practice, and Organizational Factors Associated With Early Mobility Performance in Critically Ill Adults.American journal of critical care : an official publication, American Association of Critical-Care Nurses · 2024
    Article
  4. Delirium and Coronavirus Disease 2019: Looking Back, Moving Forward.Critical care nursing clinics of North America · 2024
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 8 institutions in 4 countries.

Keibun LiuCritical Care Research Group, Faculty of Medicine, 67567University of Queensland and The Prince Charles Hospital, Brisbane, Australia.ORCID https://orcid.org/0000-0002-6867-1420
Kensuke NakamuraDepartment of Emergency and Critical Care Medicine, Hitachi General Hospital, Hitachi, Ibaraki, Japan.ORCID https://orcid.org/0000-0001-8481-0294
Sapna R KudchadkarDepartment of Anesthesiology and Critical Care Medicine, Department of Physical Medicine and Rehabilitation, and Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Hajime KatsukawaJapanese Society for Early Mobilization, Tokyo, Japan.
Peter NydahlNursing Research, Department of Anesthesiology and Intensive Care Medicine, University Hospital of Schleswig-Holstein, Kiel, Germany.
Eugene Wesley ElyCritical Illness, Brain Dysfunction, and Survivorship (CIBS) Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Kunihiko TakahashiDepartment of Biostatistics, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan.ORCID https://orcid.org/0000-0003-2387-7772
Shigeaki InoueEmergency and Critical Care Center, 38617Kobe University Hospital, Kobe, Japan.
Osamu NishidaDepartment of Anesthesiology and Critical Care Medicine, 89305Fujita Health University School of Medicine, Toyoake, Japan.ORCID https://orcid.org/0000-0003-0140-283X
Fujita Health University · JPHitachi General Hospital · JPJohns Hopkins University · USKobe University Hospital · JPThe University of Queensland · AUTokyo Medical and Dental University · JPUniversity Hospital Schleswig-Holstein · DEVanderbilt University · US

Funding

Protein Optimization with Exercise to Improve Muscle Mass and Functional Outcomes (PROXIMUS)R01DK132348 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI KUDCHADKAR, SAPNA R, MEHTA, NILESH M · 2022 to 2024
$1.0M
6 · The paper itself

Abstract

backgroundMobilization and acute rehabilitation are essential in the intensive care unit (ICU), with substantial evidence supporting their benefits. This study aimed to characterize ICU mobilization practices during the COVID-19 pandemic for patients with and without COVID-19.

methodsThis was a secondary analysis of an international point prevalence study. All ICUs across the world were eligible to participate and were required to enroll all patients in each ICU on the survey date, 27 January 2021. The primary outcome was the achievement of mobilization at the level of sitting over the edge of the bed. Independent factors associated with mobilization, including COVID-19 infection, were analyzed by multivariable analysis.

resultsA total of 135 ICUs in 33 countries participated, for inclusion of 1229 patients. Among patients who were not receiving mechanical ventilation (MV), those with COVID-19 infection were mobilized more than those without COVID-19 (60% vs. 34%,

conclusionMobilization rates for ICU patients across the globe are severely low, with the greatest immobility observed in mechanically ventilated patients. Although COVID-19 is not an independent barrier to the mobilization of patients with or without MV, this study has highlighted the current lack of mobility practice for all ICU patients during the COVID-19 pandemic.(299 words).

Indexed as

COVID-19Early AmbulationHumansIntensive Care UnitsPandemicsRespiration, ArtificialbarrierCOVID-19ICUmechanical ventilationmobilizationrehabilitation

Identifiers

PMID35473451
PMCPMC9047602
OpenAlexW4224998122

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.