Abstract P-012: A RETROSPECTIVE COHORT STUDY OF PEDIATRIC INTENSIVE CARE UNIT CONSULTATIONS IN THE PEDIATRIC EMERGENCY DEPARTMENT OF A TERTIARY CARE HOSPITAL
Bibliographic record
Abstract
Aims & Objectives: Acutely ill children in the Pediatric Emergency Department (PED) are sometimes evaluated for admission to the Pediatric Intensive Care Unit (PICU). This study describes the characteristics, trajectory and outcomes of a cohort of children who had a PICU consultation in the PED of a tertiary care hospital. Methods A retrospective chart review of patients who had a PICU consultation in the PED at the Children’s Hospital of Eastern Ontario (Ottawa, Canada) over a three-year period. Results Of 232 PICU consultations in the PED (58.2% male), 70 (30.2%) resulted in direct admission to PICU (median age 5.2 years, IQR 1.9 – 13.7 years) and 151 (65.1%) admissions to the ward (median age 4.1 years, IQR 1.3 – 10.5 years). One in five (19.9%) ward admissions had a Medical Emergency Team (MET) activation while hospitalized (median time to activation 11 hours 22 minutes, IQR 4 hours 5 minutes to 48 hours 15 minutes), and 22 (14.6%) required unplanned transfer to the PICU (median time to transfer 32 hours 8 minutes, IQR 7 hours 10 minutes to 4 days 23 hours 25 minutes). Median length of stay in PICU for these patients was 3 days (IQR 1 - 7 days) compared to 1 day (IQR 1 – 4 days) for patients admitted directly to PICU from the PED. Almost half (46.7%) of the MET activations occurred within 12 hours of admission. Conclusions Children in the PED who are evaluated for PICU admission but deemed suitable for the ward should be closely monitored by the MET.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".