Acute Rehabilitation Practices in Critically Ill Children
Bibliographic record
Abstract
OBJECTIVE: To evaluate acute rehabilitation practices in pediatric critical care units across Canada. DESIGN: Retrospective cohort study. SETTING: Six Canadian, tertiary care pediatric critical care units. PATIENTS/SUBJECTS: Six hundred children aged under 17 years admitted to pediatric critical care unit during a winter and summer month of 2011 with a greater than 24-hour length of stay. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary outcome of interest was the nature and timing of pediatric critical care unit rehabilitation practices.Rehabilitation was classified according to mobility and nonmobility interventions. Predictors of mobilization and the time to mobilization were evaluated through regression and time-dependent survival analyses, respectively. The most common form of rehabilitation provided in pediatric critical care unit was physical therapy (45.5% patients) followed by occupational therapy (4.5%) and speech and language therapy (1.5%). Interventions were primarily nonmobility in nature (69.7% of sessions), most frequently in the form of chest physiotherapy (42.7% of sessions). The median time to mobilization was 2 days (interquartile range, 1-6) as compared with 1 day for nonmobility interventions (interquartile range, 1-3). Only 57 patients (9.5%) received early mobilization. Regression analyses revealed that increasing age, admission during winter, neuromuscular blockade, and sedative infusions were associated with an increased likelihood of receiving mobility therapy. Increasing age was a predictor of early mobilization, while neuromuscular blockade was associated with delayed mobilization. No significant differences in adverse events were found between nonmobility and mobility interventions. CONCLUSIONS: Only half of the children receive rehabilitation while in the pediatric critical care unit, and when it occurs, therapy is primarily focused on respiratory function. Mobilization appears to be reserved for at-risk children who were muscle relaxed and sedated; however, its implementation in these patients is delayed. Future pediatric-specific research is essential to identify patients at risk and to understand treatment priorities and rehabilitation strategies to improve functional recovery in critically ill children.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".