Intensive Care Management of Children Intubated for Croup: A Retrospective Analysis
Bibliographic record
Abstract
Croup remains the commonest reason for acute upper airway obstruction in children, yet there are scarce contemporary data of airway management in those requiring intubation. We performed a retrospective analysis of the intensive care management of children intubated for croup in two quaternary Paediatric Intensive Care Units: Royal Children's Hospital Melbourne, Australia and Alberta Children's Hospital Calgary, Canada. Patients intubated for less than three days were compared with those intubated for greater than three days. Patients less than 10 kg body weight were compared to those greater than 10 kg. Demographic, clinical and microbiological data were recorded. Seventy-seven cases of croup requiring intubation were identified. The median duration of intubation was 60 hours. Parainfluenza was the most common viral aetiology, detected in 30% of cases. Antibiotics were prescribed in 51% of patients. Corticosteroids were prescribed pre intubation in two-thirds of patients and all post intubation, with the median dose being prednisolone 3 mg/kg/day. Primary extubation failure occurred in 6.5% of patients. Neither the duration of intubation nor patient size were associated with extubation failure. An air leak test was performed in 69% of patients and poorly predicted extubation success. One non-urgent tracheostomy was performed and there was one death from hypoxic ischaemic encephalopathy. Endotracheal tube leak is poorly recorded and may not predict successful extubation.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".