Long-term non-invasive ventilation in children: Transition from hospital to home
Bibliographic record
Abstract
Long-term non-invasive ventilation (NIV) is an accepted therapy for sleep-related respiratory disorders and respiratory insufficiency or failure. Increase in the use of long-term NIV may, in part, be driven by an increase in the number of children surviving critical illness with comorbidities. As a result, some children start on long-term NIV as part of transitioning from hospital to home. NIV may be used in acute illness to avoid intubation, facilitate extubation or support tracheostomy decannulation, and to avoid the need for a tracheostomy for long-term invasive ventilation. The decision about whether long-term NIV is appropriate for an individual child and their family needs to be made with care. Preparing for transition from the hospital to home involves understanding how NIV equipment is obtained and set-up, education and training for parents/caregivers, and arranging a plan for clinical follow-up. While planning for these transitions is challenging, the goals of a shorter time in hospital and a child living well at home with their family are important.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".