Deferiprone vs deferoxamine for transfusional iron overload in SCD and other anemias: a randomized, open-label, noninferiority study.
Janet L KwiatkowskiMona HamdyAmal El BeshlawyFatma Soliman Elsayed EbeidMohammed BadrAbdulrahman Ali M AlShehriJulie KanterBaba Psalm Duniya InusaAmira AdlySuzan WilliamsYurdanur KilincDavid LeeFernando TrictaMohssen Saleh ElalfyPublished in: Blood advances (2021)
Many people with sickle cell disease (SCD) or other anemias require chronic blood transfusions, which often causes iron overload and requires chelation therapy. The iron chelator deferiprone is often used in individuals with thalassemia syndromes, but data in patients with SCD are limited. This open-label study (NCT02041299) assessed the efficacy and safety of deferiprone in patients with SCD or other anemias receiving chronic transfusion therapy. A total of 228 patients (mean age: 16.9 [range 3-59] years; 46.9% female) were randomized to receive either oral deferiprone (n = 152) or subcutaneous deferoxamine (n = 76). The primary endpoint was change from baseline at 12 months in liver iron concentration (LIC), assessed by R2* magnetic resonance imaging (MRI). The least squares mean (standard error) change in LIC was -4.04 (0.48) mg/g dry weight for deferiprone vs -4.45 (0.57) mg/g dry weight for deferoxamine, with noninferiority of deferiprone to deferoxamine demonstrated by analysis of covariance (least squares mean difference 0.40 [0.56]; 96.01% confidence interval, -0.76, 1.57). Noninferiority of deferiprone was also shown for both cardiac T2* MRI and serum ferritin. Rates of overall adverse events (AEs), treatment-related AEs, serious AEs, and AEs leading to withdrawal did not differ significantly between the groups. AEs related to deferiprone treatment included abdominal pain (17.1% of patients), vomiting (14.5%), pyrexia (9.2%), increased alanine transferase (9.2%) and aspartate transferase levels (9.2%), neutropenia (2.6%), and agranulocytosis (0.7%). The efficacy and safety profiles of deferiprone were acceptable and consistent with those seen in patients with transfusion-dependent thalassemia.
Keyphrases
- open label
- magnetic resonance imaging
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- body mass index
- contrast enhanced
- abdominal pain
- computed tomography
- prognostic factors
- sickle cell disease
- weight loss
- cardiac surgery
- heart failure
- machine learning
- left ventricular
- iron deficiency
- phase ii study
- artificial intelligence
- diffusion weighted imaging
- radiation therapy
- body weight
- chemotherapy induced
- big data
- cell therapy
- deep learning
- placebo controlled
- replacement therapy