Clinical Effectiveness of Lumacaftor/Ivacaftor in Patients with Cystic Fibrosis Homozygous for F508del-CFTR. A Clinical Trial
Bibliographic record
Abstract
Abstract Rationale The combination of lumacaftor (LUM) and ivacaftor (IVA) is an approved CFTR (cystic fibrosis [CF] transmembrane conductance regulator) modulator treatment for homozygous F508del patients with CF. Objectives To evaluate the effectiveness of LUM/IVA in children (6 yr or more) and adults (more than 18 yr) in a postapproval setting. Methods This longitudinal cohort study, performed at 38 centers in the U.S. CF Therapeutics Development Network, enrolled homozygous F508del patients with CF ages 6 years old and older with no prior exposure to LUM/IVA. Study assessments were performed at baseline and at 1, 3, 6, and 12 months after LUM/IVA initiation. Results A total of 193 patients initiated LUM/IVA, and 85% completed the study through 1 year. Baseline mean percent-predicted forced expiratory volume in 1 second (ppFEV1) was 85 (standard deviation, 22.4) in this cohort. No statistically significant change in ppFEV1 was observed from baseline to any of the follow-up time points, with a mean absolute change at 12 months of −0.3 (95% confidence interval [CI], −1.8 to 1.2). Body mass index improved from baseline to 12 months (mean change, 0.8 kg/m2; P < 0.001). Sweat chloride decreased from baseline to 1 month (mean change, −18.5 mmol/L; 95% CI, −20.7 to −16.3; P < 0.001), and these reductions were sustained through the study period. There were no significant changes in hospitalization rate for pulmonary exacerbations and Pseudomonas aeruginosa infection status with treatment. Conclusions In this real-world multicenter cohort of children and adults, LUM/IVA treatment was associated with significant improvements in growth and reductions in sweat chloride without statistically significant or clinically meaningful changes in lung function, hospitalization rates, or P. aeruginosa infection. Clinical trial registered with www.clinicaltrials.gov (NCT 02477319).
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".