Long-term efficacy and safety of danicopan as add-on therapy to ravulizumab or eculizumab in PNH with significant EVH
Bibliographic record
Abstract
ABSTRACT: Complement C5 inhibitor treatment with ravulizumab or eculizumab for paroxysmal nocturnal hemoglobinuria (PNH) improves outcomes and survival. Some patients remain anemic due to clinically significant extravascular hemolysis (cs-EVH; hemoglobin [Hb] ≤9.5 g/dL and absolute reticulocyte count [ARC] ≥120 × 109/L). In the phase 3 ALPHA trial, participants received oral factor D inhibitor danicopan (150 mg 3 times daily) or placebo plus ravulizumab or eculizumab during the 12-week, double-blind treatment period 1 (TP1); those receiving placebo switched to danicopan during the subsequent 12-week, open-label TP2 and continued during the 2-year long-term extension (LTE). There were 86 participants randomized in the study, of whom 82 entered TP2, and 80 entered LTE. The primary end point was met, with Hb improvements from baseline at week 12 (least squares mean change, 2.8 g/dL) with danicopan. For participants switching from placebo to danicopan at week 12, improvements in mean Hb were observed at week 24. Similar trends were observed for the proportion of participants with ≥2 g/dL Hb increase, ARC, proportion of participants achieving transfusion avoidance, and Functional Assessment of Chronic Illness Therapy-Fatigue scale scores. Improvements were maintained up to week 72. No new safety signals were observed. The breakthrough hemolysis rate was 6 events per 100 patient-years. These long-term data demonstrate sustained efficacy and safety of danicopan plus ravulizumab/eculizumab for continued control of terminal complement activity, intravascular hemolysis, and cs-EVH in PNH. This trial was registered at www.clinicaltrials.gov as #NCT04469465.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".