Optimal Timing of Allogeneic Stem Cell Transplantation for Primary Myelofibrosis

Primary myelofibrosis (PMF) is a chronic myeloproliferative neoplasm characterized by cytopenias, splenomegaly, and risk of leukemic transformation. In light of newer therapies, such as ruxolitinib, that are not curative but improve quality of life, the timing of transplantation needs more in-depth analysis to determine which patients would benefit from an early versus a delayed transplantation strategy. Because prospective clinical trials are impractical for diseases with only one curative option, such as PMF, we developed a Markov cohort model to simulate the long-term disease trajectory in patients with PMF and predict the optimal timing of transplantation stratified by Dynamic International Prognostic Scoring System (DIPSS) risk. In this decision model, a hypothetical cohort of patients begins in the alive with PMF state and can transition monthly to other health states. Transition probabilities were acquired from published literature. We performed probabilistic analyses by jointly varying all model parameters over 1000 simulations. Irrespective of DIPSS risk, all patients with PMF benefited from transplantation with respect to life expectancy gained. Life expectancy gains from transplantation peaked at 9.7 months (95% confidence interval [CI], 9.5 to 9.9 months) from diagnosis in patients with high-risk disease and at 16.6 months (95% CI, 16.4 to 16.8 months) from diagnosis in patients with intermediate-2 disease. Patients with intermediate-1 risk had a delayed peak in net gain in life expectancy at 20.5 months (95% CI, 20.2 to 20.7 months). Patients with low-risk disease had a greater net gain in life expectancy the longer that transplantation was delayed; this trend plateaued at 29 to 45 months. Our modeling suggests that preparation for transplantation is indicated upfront for patients diagnosed with intermediate-2 risk and high-risk PMF, whereas this can be delayed for low-risk or intermediate-1 risk disease. (c) 2022 The American Society for Transplantation and Cellular Therapy. Published by Elsevier Inc. All rights reserved.

Automated summary

This study developed a Markov cohort model to simulate the long-term disease trajectory of patients with primary myelofibrosis (PMF) and predict the optimal timing of transplantation based on the Dynamic International Prognostic Scoring System (DIPSS) risk. The results showed that transplantation benefited all patients with PMF in terms of life expectancy gained, with the timing varying based on the risk level. High-risk patients had the highest life expectancy gains from transplantation, while low-risk patients could delay transplantation for greater net gain in life expectancy.