Evidence map›Paper›PMID 41477073›Full record

ArticleArchives of rehabilitation research and clinical translation2025

Barriers to Mobility in the ICU: Insights from Severe COVID-19 and Implications for Improving Patient Outcomes.

Irene Kalbian, Andrew Delgado, Sofia Barchuk, Stacey Cohen, Adel Bassily-Marcus, Laura Tabacof, Lisa Spielman, Kristen Dams-O'Connor, Roopa Kohli-Seth, Neha Dangayach and 2 more

Abstract read
In one paragraph

Article in Archives of rehabilitation research and clinical translation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Irene KalbianIcahn School of Medicine at Mount Sinai Hospital, Department of Rehabilitation and Human Performance, New York, NY.
Andrew DelgadoIcahn School of Medicine at Mount Sinai Hospital, Institute for Transformative Clinical Trials and Center for Biostatistics, Department of Population Health Science and Policy, New York, NY.
Sofia BarchukIcahn School of Medicine at Mount Sinai Hospital, Department of Rehabilitation and Human Performance, New York, NY.
Stacey CohenIcahn School of Medicine at Mount Sinai Hospital, Department of Clinical Informatics, New York, NY.
Adel Bassily-MarcusIcahn School of Medicine at Mount Sinai Hospital, Institute for Critical Care, New York, NY.
Laura TabacofIcahn School of Medicine at Mount Sinai Hospital, Department of Rehabilitation and Human Performance, New York, NY.
Lisa SpielmanIcahn School of Medicine at Mount Sinai Hospital, Department of Rehabilitation and Human Performance, New York, NY.
Kristen Dams-O'ConnorIcahn School of Medicine at Mount Sinai Hospital, Department of Rehabilitation and Human Performance, New York, NY.
Roopa Kohli-SethIcahn School of Medicine at Mount Sinai Hospital, Institute for Critical Care, New York, NY.
Neha DangayachIcahn School of Medicine at Mount Sinai Hospital, Institute for Critical Care, New York, NY.
Avniel Shetreat-KleinIcahn School of Medicine at Mount Sinai Hospital, Department of Rehabilitation and Human Performance, New York, NY.
Miguel X EscalonIcahn School of Medicine at Mount Sinai Hospital, Department of Rehabilitation and Human Performance, New York, NY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate mobility outcomes of patients with severe COVID-19 during their intensive care unit (ICU) stay compared to non-COVID-19 critically ill counterparts and assess factors impacting mobility status. Design: A retrospective, single-center case-control study. Setting: This investigation was conducted at a large tertiary care center at the epicenter of the COVID-19 pandemic between April 2019 and July 2020 to capture a prepandemic baseline and the initial surge. Participants: A total of 3275 ICU cases were analyzed. Analysis was conducted at the ICU visit level rather than the patient level. Eligible visits included adults ≥18 years. The COVID-19 cohort (COVID vs non-COVID) was defined by confirmed infection (polymerase chain reaction or equivalent testing). ICU visits with missing data were excluded and subsequently matched via coarsened exact matching. Interventions: Not applicable. Main Outcome Measures: Primary outcome measure was an ICU visit's highest ICU mobility status (Immobile, Nonambulatory, Ambulatory) at any time during their stay. Secondary outcomes included age, sex, body mass index, APACHE-III score, Richmond Agitation Sedation Scale, patient expired, tracheostomy status, percutaneous endoscopic gastrostomy status, hospital length of stay, prone status, and physical therapy status. Results: The COVID visits were overwhelmingly categorized as immobile, whereas non-COVID visits were more likely to be ambulatory. Multinomial regression showed that COVID patients were 60% less likely to be Nonambulatory and 93% less likely to be Ambulatory versus immobile. COVID-19 visits were also associated with higher final APACHE-III scores ( Conclusions: Severe COVID-19 significantly affects ICU mobility, with COVID visits experiencing reduced mobility compared to non-COVID visits. These findings underscore the urgent need for innovative sedation protocols and ICU mobilization strategies to mitigate risks of ICU-acquired weakness, postintensive care syndrome, and other long-term disabilities. Addressing these challenges is critical to improving outcomes for all ICU patients facing barriers to traditional mobilization strategies and preparing for future pandemics.

Indexed as

COVID-19 intensive care unitsCritical illnessEarly ambulationFrailtyPostacute COVID-19 syndromePostintensive care syndromeProne positionQuality of lifeRehabilitation

Identifiers

PMID41477073
PMCPMC12750433

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.