Oral Azithromycin and Response to Pulmonary Exacerbations Treated with Intravenous Tobramycin in Children with Cystic Fibrosis
Bibliographic record
Abstract
Abstract Rationale Intravenous tobramycin is frequently used to treat pulmonary exacerbations (PExs) in patients with cystic fibrosis (CF), but there is concern that azithromycin may interact with tobramycin, making it less effective against Pseudomonas aeruginosa. Objectives The objective of this study was to determine whether oral azithromycin use was associated with worse lung function response to intravenous tobramycin treatment for PExs in a cohort of pediatric patients with CF with chronic P. aeruginosa infection. Methods Pediatric patients from the Toronto CF database were included if they had at least one PEx and had chronic P. aeruginosa infection. Response to treatment was defined as change in forced expiratory volume in 1 second (FEV1) from start to end of treatment as well as recovery of FEV1 to greater than or equal to 90% of baseline (best FEV1 in the previous 6 mo). Response to treatment was compared between patients who had received chronic azithromycin (azithromycin users) and those who had not (azithromycin nonusers), using marginal structural modeling to account for baseline FEV1 as both a confounder and mediator. Results There were 67 exacerbations (33 patients). Overall, 69% of azithromycin users and 61% of azithromycin nonusers returned to greater than or equal to 90% of baseline FEV1. However, after taking into account that azithromycin users had worse baseline FEV1 than azithromycin nonusers, relative improvement in FEV1 was 9.5% (95% confidence interval, −18.7 to −0.3) lower in azithromycin users than azithromycin nonusers. Conclusions Although a similar proportion of children with CF with chronic P. aeruginosa infection on azithromycin recovered lung function compared with those not on azithromycin, when we consider these patients are sicker, azithromycin use was associated with less improvement in relative (but not absolute) FEV1 in patients treated with intravenous tobramycin for PExs.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".