Hospital Mortality and Functional Outcomes in Pediatric Neurocritical Care
Bibliographic record
Abstract
OBJECTIVES: Pediatric neurocritical care (PNCC) outcomes research is scarce. We aimed to expand knowledge about outcomes in PNCC by evaluating death and changes in Functional Status Scale (FSS) from baseline among PNCC diagnoses. METHODS: = 325). Primary outcomes were death and change in FSS from preadmission baseline to discharge. New disability was defined as an FSS change of ≥1 from baseline, and severe disability was defined as an FSS change of ≥3. Categorical results are reported as relative risk (RR) with 95% confidence interval (CI). RESULTS: = 37; 13%) were common in PNCC survivors. New disability (range 14%-54%) and severe disability (range 3%-33%) outcomes varied significantly among primary diagnoses (lowest in status epilepticus; highest in infectious and/or inflammatory and stroke cohorts). Disability occurred in all FSS domains: mental status (15%), sensory (52%), communication (38%), motor (48%), feeding (40%), and respiratory (12%). Most (64%) patients with severe disability had changes in ≥3 domains. Requiring critical care interventions (RR 2.1; 95% CI 1.5-3.1) and having seizures (RR 1.5; 95% CI 1.1-2.0) during hospitalization were associated with new disability. CONCLUSIONS: PNCC patients have high rates of death and new disability at discharge, varying significantly between PNCC diagnoses. Multiple domains of disability are affected, underscoring the ongoing multidisciplinary health care needs of survivors. Our study quantified hospital outcomes of PNCC patients that can be used to advance future research in this vulnerable 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".