Identification during the follow-up of time-dependent prognostic factors for the competing risks of death and blast phase in primary myelofibrosis: a study of 172 patients

Blood. 2010 Jun 3;115(22):4350-5. doi: 10.1182/blood-2009-12-255943. Epub 2010 Mar 22.

Abstract

The median survival of patients with primary myelofibrosis ranges from 3.5 to 5.5 years, and most patients die from cause related to the disease, including blast phase (BP, in 5%-30% of cases). Because identification of high-risk patients might use information collected during the clinical course, we assessed the prognostic value of time-dependent covariates for 2 competing risks (death and BP) in a series of 172 patients. Significant (P < .01) adverse time-dependent prognostic factors for the risk of death were the time to onset of anemia (hemoglobin < 100 g/L [10 g/dL]), leukocytosis (leukocyte count > 30 x 10(9)/L), thrombocytopenia (platelet count < 150 x 10(9)/L), presence of circulating blasts, intermediate-high or high International Working Group for Myelofibrosis Research and Treatment score, and time to splenectomy. The first 3 dependent covariates and the time to chemotherapy initiation (P = .05) were prognostic factors for the risk of BP. The prognostic effect of onset of leukocytosis was significantly more pronounced for BP than for death. Thus, occurrence during the follow-up of characteristics associated with an adverse prognostic value at diagnosis also influenced the risks of death and BP. Patients with leukocytosis should be closely monitored. These data might efficiently help to evaluate the severity of the disease before treatment decision during the clinical course.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Blast Crisis / pathology*
  • Female
  • Follow-Up Studies
  • France / epidemiology
  • Humans
  • Kaplan-Meier Estimate
  • Leukocytosis / mortality
  • Leukocytosis / pathology
  • Male
  • Middle Aged
  • Primary Myelofibrosis / mortality*
  • Primary Myelofibrosis / pathology*
  • Prognosis
  • Proportional Hazards Models
  • Risk Factors
  • Time Factors