Treatment of Pulmonary Exacerbations Improves Short But Not Long‐Term Growth Trajectory in Children With Cystic Fibrosis
Bibliographic record
Abstract
OBJECTIVES: The present study sought to determine the long-term growth consequences after a pulmonary exacerbation in children with cystic fibrosis (CF). METHODS: Retrospective cohort study of pediatric patients with CF with a hospital admission for a pulmonary exacerbation. Logistic regression used to determine risk factors for failure to recover baseline body mass index (BMI) percentile. RESULTS: Of 72 patients, 43% failed to recover their baseline BMI percentile 12 months after discharge and these patients also had a lower forced expiratory volume in 1 second at follow-up. A greater decrease in weight percentile from baseline to admission was the only risk factor identified (odds ratio 0.83, P = 0.0015). CONCLUSIONS: Greater decrease in weight percentile from baseline to admission predicts failure to recover BMI percentile 1 year after a pulmonary exacerbation. Children with CF with poor growth preceding a pulmonary exacerbation continue to be at risk for long-term nutritional failure despite treatment for pulmonary exacerbation.
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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 | 0.000 | 0.003 |
| 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) | 0.001 | 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".