Once‐weekly prophylaxis with 40 IU/kg nonacog beta pegol (N9‐GP) achieves trough levels of >15% in patients with haemophilia B: Pooled data from the paradigm™ trials
Bibliographic record
Abstract
INTRODUCTION: Prophylaxis with replacement factor IX (FIX) reduces bleeding frequency and improves quality of life in haemophilia B patients. With prophylaxis, the likelihood of bleeding is lowered with increasing trough levels. New products with extended half-life (EHL) can maintain high factor activity levels over prolonged periods, compared with standard FIX products. AIM: To evaluate the safety, efficacy and pharmacokinetics of the new recombinant FIX EHL product, nonacog beta pegol (N9-GP), using pooled data, with a focus on-but not limited to-prophylaxis at 40 IU/kg. METHODS: N9-GP has been investigated in males with congenital haemophilia B and FIX activity ≤2% in the paradigm™ clinical trial programme. This analysis includes pooled data from five completed paradigm™ trials conducted in previously treated adults, adolescents and children, focusing on results of prophylaxis with 40 IU/kg once-weekly intravenous dosing. RESULTS: In total, 115 previously treated patients were exposed to N9-GP. Of 54 patients (47%) treated with N9-GP 40 IU/kg once-weekly prophylaxis, 72% experienced no spontaneous bleeds over 1 year. In all patients receiving 40 IU/kg once-weekly, median overall annualized bleeding rate (ABR) was 1.03 (interquartile range 0.00; 2.89); median spontaneous ABR was 0.00 (0.00; 0.80). No patients developed inhibitors. Estimated mean steady-state trough levels with N9-GP 40 IU/kg once-weekly were ≥15% overall; 27.3% in adolescents and adults. CONCLUSION: N9-GP 40 IU/kg once-weekly was well tolerated and effective in preventing bleeding, maintaining mean FIX activity levels ≥15% across all age groups. N9-GP may provide a new treatment option for preventing bleeding in haemophilia B patients.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.009 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".