Functional Recovery Following Critical Illness in Children
Bibliographic record
Abstract
OBJECTIVE: To determine the feasibility of conducting a longitudinal prospective study to evaluate functional recovery and predictors of impaired functional recovery in critically ill children. DESIGN: Prospective pilot study. SETTING: Single-center PICU at McMaster Children's Hospital, Hamilton, Canada. PATIENTS: Children aged 12 months to 17 years, with at least one organ dysfunction, limited mobility or bed rest during the first 48 hours of PICU admission, and a minimum 48-hour PICU length of stay, were eligible. Patients transferred from a neonatal ICU prior to ever being discharged home, already mobilizing well or at baseline functional status at time of screening, with an English language barrier, and prior enrollment into this study, were excluded. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary outcome was feasibility, as defined by the ability to screen, enroll eligible patients, and execute the study procedures and measurements on participants. Secondary outcomes included functional status at baseline, 3 and 6 months, PICU morbidity, and mortality. Functional status was measured using the Pediatric Evaluation of Disability Inventory and the Participation and Environment Measure for Children and Youth. Thirty-three patients were enrolled between October 2012 and April 2013. Consent rate was 85%, and follow-up rates were 93% at 3 months and 71% at 6 months. We were able to execute the study procedures and measurements, demonstrating feasibility of conducting a future longitudinal study. Functional status deteriorated following critical illness. Recovery appears to be influenced by baseline health or functional status and severity of illness. CONCLUSION: Longitudinal research is needed to understand how children recover after a critical illness. Our results suggest factors that may influence the recovery trajectory and were used to inform the methodology, outcomes of interest, and appropriate sample size of a larger multicenter study evaluating functional recovery in this population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.101 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".