Safety analysis of patients who received ruxolitinib for steroid-refractory acute or chronic graft-versus-host disease in an expanded access program.
Mark G FrattiniParameswaran N HariAmy BlitheDilan ParanagamaValkal BhattJohn F DipersioPublished in: Bone marrow transplantation (2022)
Outside of clinical trials and before commercial availability for acute and chronic graft-versus-host disease (GVHD), the Janus kinase (JAK) 1/JAK2 inhibitor ruxolitinib was available to US patients with steroid-refractory GVHD through an open-label, multicenter expanded access program (EAP) sponsored by Incyte Corporation. To assess the safety of ruxolitinib, data on serious adverse events (SAEs) reported among patients in the EAP were collected. Patients ≥12 years old who received allogeneic hematopoietic cell transplantation for a hematologic malignancy and developed any-grade acute or chronic steroid-refractory GVHD received ruxolitinib at a starting dose of 5 mg twice daily (BID; acute GVHD) or 10 mg BID (chronic GVHD). At data extraction (May 8, 2020), 60 patients with acute GVHD and 549 with chronic GVHD were enrolled. In the acute and chronic GVHD cohorts, 41 (68.3%) and 186 (33.9%) patients, respectively, had ≥1 SAE. Sepsis (8.3%) and respiratory failure (6.7%) were the most common SAEs in the acute GVHD cohort, and pneumonia (4.9%), sepsis (3.8%), and lung infection (3.5%) in chronic GVHD. Infection SAEs were reported in 23.3% and 20.0% of patients with acute and chronic GVHD, respectively. Overall, these safety findings demonstrate the tolerability of ruxolitinib in steroid-refractory GVHD.
Keyphrases
- respiratory failure
- allogeneic hematopoietic stem cell transplantation
- liver failure
- drug induced
- end stage renal disease
- clinical trial
- extracorporeal membrane oxygenation
- chronic kidney disease
- newly diagnosed
- acute myeloid leukemia
- mechanical ventilation
- aortic dissection
- acute kidney injury
- intensive care unit
- peritoneal dialysis
- randomized controlled trial
- ejection fraction
- electronic health record
- big data
- machine learning
- low dose
- study protocol
- patient reported outcomes