Randomized Controlled Trial of the Efficacy and Safety of Deferiprone in Iron-Overloaded Patients with Sickle Cell Disease or Other Anemias
Bibliographic record
Abstract
Background: Patients with sickle cell disease (SCD) or other rare anemias whose care includes chronic blood transfusions must receive iron chelation to prevent the morbidity of iron overload. Currently, only deferoxamine (DFO) and deferasirox (DFX) are approved chelators in these patient populations. This randomized open-label trial evaluated if the efficacy of deferiprone (DFP) was non-inferior to DFO. DFO was used as the comparator product since DFX was not approved as first-line treatment for SCD at trial initiation. Methods: Participants at 27 sites in 8 countries were randomized in a 2:1 ratio to receive either DFP or DFO for up to 12 months. Those with lower transfusional iron input and/or less severe iron load were prescribed either DFP 25 mg/kg of body weight t.i.d. or DFO 20 mg/kg (children) or 40 mg/kg (adults); those with higher iron input and/or more severe iron load received either DFP 33 mg/kg t.i.d. or DFO up to 40 mg/kg (children) or 50 mg/kg (adults). Dosages could be adjusted over the course of the trial if necessary. Efficacy endpoints were the changes from baseline in liver iron concentration (LIC), cardiac iron, and serum ferritin (SF) at Month 12. The primary endpoint was based on LIC, and for the demonstration of non-inferiority of DFP to DFO, the upper limit of the 95% confidence interval for the difference between treatments had to be no more than 2 mg/g dry weight (dw). All patients had their neutrophil count monitored weekly, whereas other safety assessments and compliance with study therapy were evaluated monthly. Acceptable compliance was defined as taking 80% to 120% of the prescribed dosage. Results: A total of 228 of the targeted 300 patients were dosed with 152 receiving DFP and 76 receiving DFO, to assess non-inferiority. There were no significant differences between the groups in any demographic measures: in each treatment group, 84% of patients had SCD and the remainder had other, rarer forms of transfusion-dependent anemia. Mean age at enrollment was 16.9 years (± 9.6); 53.1% of patients were male; and 77.2% were white, 16.2% black, and 6.6% multi-racial. Over the course of the study, 69% of patients in the DFP group and 79% in the DFO group had acceptable compliance with treatment. Based on the Pocock's α spending function, a more stringent confidence level of 96.01% was applied to the calculation of confidence interval for the evaluation of non-inferiority. For the primary efficacy endpoint, the least squares (LS) mean change in LIC (measured as mg/g dw) was -4.04 for DFP, -4.45 for DFO; the upper limit of the 96.01% confidence interval for the difference was 1.57, thereby demonstrating non-inferiority of DFP to DFO. The upper limit for the subpopulation of patients with SCD also met the non-inferiority criterion. For the secondary endpoints, the change in cardiac iron (measured as ms on MRI T2*, log-transformed) was approximately -0.02 for both; and for SF (measured as μg/L), it was -415 vs. -750 for DFP vs. DFO, respectively. The difference between the groups was not statistically significant for both endpoints. With respect to safety, there was no statistically significant difference between the groups in the overall rate of adverse events (AEs), treatment-related AEs, serious AEs, or withdrawals from the study due to AEs. Agranulocytosis was seen in 1 DFP patient vs. no DFO patients, while events of less severe episodes of neutropenia occurred in 4 vs. 1, respectively. All episodes of agranulocytosis and neutropenia resolved. There was no significant treatment group difference in the rates of any of the serious AEs. Conclusion: The efficacy of DFP for the treatment of iron overload in patients with SCD or other rare anemias is not inferior to that of DFO, as assessed by changes in liver iron concentration. non-inferiority was supported by the endpoints on cardiac iron load and SF. The safety profile of DFP was acceptable and was similar to that previously seen in thalassemia patients, and its use was not associated with unexpected serious adverse events. The results of this study support the use of DFP for the treatment of iron overload in patients with SCD or other rare transfusion-dependent anemias. Note: The authors listed here are presenting these findings on behalf of all investigators who participated in the study. Disclosures Kwiatkowski: Terumo: Research Funding; Imara: Consultancy; bluebird bio, Inc.: Consultancy, Research Funding; Agios: Consultancy; Novartis: Research Funding; Celgene: Consultancy; Apopharma: Research Funding. Fradette:ApoPharma: Employment. Kanter:Sangamo: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Imara: Consultancy; Guidepoint Global: Consultancy; GLG: Consultancy; Cowen: Consultancy; Jeffries: Consultancy; Medscape: Honoraria; Rockpointe: Honoraria; Peerview: Honoraria; SCDAA: Membership on an entity's Board of Directors or advisory committees; NHLBI: Membership on an entity's Board of Directors or advisory committees; bluebird bio, Inc.: Consultancy; Modus: Consultancy, Honoraria. Tsang:Apotex Inc.: Employment. Stilman:ApoPharma: Employment. Rozova:ApoPharma: Employment. Sinclair:ApoPharma: Employment. Shaw:ApoPharma: Employment. Chan:ApoPharma: Employment. Toiber Temin:ApoPharma: Employment. Lee:ApoPharma: Employment. Spino:ApoPharma: Employment. Tricta:ApoPharma: Employment. OffLabel Disclosure: Deferiprone is an oral iron chelator.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".