Open‐label, follow‐on study of azithromycin in pediatric patients with CF uninfected with <i>Pseudomonas aeruginosa</i>
Bibliographic record
Abstract
BACKGROUND: We previously performed a randomized placebo-controlled trial to examine the effects of azithromycin in children and adolescents 6-18 years of age with cystic fibrosis uninfected with Pseudomononas aeruginosa and demonstrated that while azithromycin did not acutely improve pulmonary function, azithromycin-reduced pulmonary exacerbations, decreased the initiation of new oral antibiotics, and improved weight gain. We now report the results of the open-label, follow-on study to assess durability of response to azithromycin and continued safety and tolerability. METHODS: Eligible participants were enrolled in a 24-week open-label study of azithromycin to compare efficacy and safety endpoints during the placebo-controlled trial versus open-label study in two groups: participants initially on azithromycin continued azithromycin (azithromycin-azithromycin) and participants initially on placebo who then received azithromycin (placebo-azithromycin). As in the placebo-controlled trial, the azithromycin dose in the open-label study was 250 mg Monday-Wednesday-Friday for participants weighing 18-35.9 kg and 500 mg Monday-Wednesday-Friday for participants weighing 36 kg or greater. RESULTS: Of 174 eligible participants, 146 (83.9%) enrolled in the open-label study. No significant improvements in lung function were observed within either group. There were no differences in outcomes in the placebo-azithromycin group during the placebo-controlled versus open-label phase. The azithromycin-azithromycin group had comparable odds of experiencing an exacerbation during the two phases (OR 1.6, CI(95) 0.8, 3.0) and stable weight gain, but new oral antibiotics were initiated more frequently during the open-label study (OR 1.9, CI(95) 1.0, 3.5). In both groups, adverse event rates were comparable during the placebo-controlled and open-label study and treatment-emergent pathogens were rare. CONCLUSIONS: During the open-label study, we observed continued durability of treatment response to azithromycin, as measured by pulmonary exacerbations and continued weight gain, although use of oral antibiotics increased. There were no new safety concerns. Currently available data suggest that azithromycin reduces exacerbations and improves weight gain for 6-12 months among children and adolescents with CF uninfected with P. aeruginosa.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".