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Safety of Patient Mobilization and Rehabilitation in the Intensive Care Unit. Systematic Review with Meta-Analysis

2017· review· en· W2591080553 on OpenAlexaboutno aff
Peter Nydahl, Thiti Sricharoenchai, Saurabh Chandra, Firuzan Sari Kundt, Minxuan Huang, Magdalena Fischill, Dale M. Needham

Bibliographic record

VenueAnnals of the American Thoracic Society · 2017
Typereview
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsnot available
FundersNarodowa Agencja Wymiany Akademickiej
KeywordsMedicineRehabilitationIntensive care unitMeta-analysisMobilizationMEDLINEIntensive care medicineSystematic reviewPhysical therapyPhysical medicine and rehabilitationInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Early mobilization and rehabilitation of patients in intensive care units (ICUs) may improve physical function, and reduce the duration of delirium, mechanical ventilation, and ICU length of stay. However, safety concerns are an important barrier to widespread implementation. OBJECTIVES: To synthesize safety data regarding patient mobilization and rehabilitation in the ICU, including falls, removal of endotracheal tubes, removal or dysfunction of intravascular catheters, removal of other catheters/tubes, cardiac arrest, hemodynamic changes, and desaturation. DATA SOURCES: Systematic literature review, including searches of five databases. Eligible studies evaluated patients who received mobilization-related interventions in the ICU. Exclusion criteria included: (1) case series with fewer than 10 patients; (2) majority of patients under 18 years of age; and (3) data not reported to permit calculation of incidence of safety events. DATA EXTRACTION: Number of patients, mobilization/rehabilitation sessions, potential safety events, and events with negative consequences (e.g., requiring intervention or additional therapy). SYNTHESIS: statistics, and bias assessed by the Newcastle-Ottawa Scale and Cochrane risk of bias assessment. The literature search identified 20,660 titles. There were 48 eligible publications evaluating 7,546 patients, with 583 potential safety events occurring in 22,351 mobilization/rehabilitation sessions. There was a total of 583 (2.6%) potential safety events with heterogeneity in the definitions for these events. For the safety event types that could be meta-analyzed, pooled incidences per 1,000 mobilization/rehabilitation sessions (95% confidence interval), were: hemodynamic changes, 3.8 (1.3-11.4), and desaturation, 1.9 (0.9-4.3). A total of 24 studies of 3,404 patients reported on any consequences of potential safety events (e.g., needing to increase dose of vasopressor due to mobility-related hypotension), with a frequency of 0.6% in 14,398 mobilization/rehabilitation sessions. CONCLUSIONS: Patient mobilization and physical rehabilitation in the ICU appears safe, with a low incidence of potential safety events, and only rare events having any consequences for patient management. Heterogeneity in the definition of safety events across studies emphasizes the importance of implementing existing consensus-based definitions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.030
metaresearch head score (Gemma)0.101
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.030
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.101
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0240.046
Bibliometrics0.0100.010
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.174
GPT teacher head0.463
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations386
Published2017
Admission routes1
Has abstractyes

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