Early platelet count kinetics has prognostic value in lower-risk myelodysplastic syndromes

Raphael Itzykson1, Simon Crouch2, Erica Travaglino3

  • 1Département d'Hématologie, Hôpital Saint-Louis, Assistance Publique des Hôpitaux de Paris and Université Paris Diderot, Paris, France.

Blood Advances
|August 22, 2018
PubMed

Insights

A significant drop in platelets within six months can predict a poorer prognosis for lower-risk myelodysplastic syndromes (MDS). Combining this with red blood cell transfusion dependence offers a simple way to assess patient outcomes.

Area of Science:

  • Hematology
  • Oncology
  • Clinical Research

Background:

  • Prognosis in lower-risk myelodysplastic syndromes (MDS) is variable.
  • Current assessments rely on steady-state cytopenias.
  • Early dynamic changes in blood counts may offer prognostic value.

Purpose of the Study:

  • To evaluate the prognostic relevance of relative drops in neutrophil and platelet counts within the first six months of follow-up in lower-risk MDS patients.
  • To develop and validate a predictive classifier for overall survival (OS).

Main Methods:

  • Landmark analysis of overall survival (OS) in lower-risk MDS patients from the European LeukaemiaNet MDS registry.
  • Assessment of relative drops in neutrophil and platelet counts at a 6 ± 1 month landmark.
  • Development and validation of a classifier based on red blood cell transfusion dependence (RBC-TD) and relative platelet drop.

Main Results:

  • A relative platelet drop >25% at the 6-month landmark significantly predicted shorter OS (5-year OS, 21.9% vs 48.6%, P < 10^-4).
  • Relative neutrophil drop >25% did not significantly impact OS.
  • A classifier combining RBC-TD and relative platelet drop >25% stratified patients into distinct OS groups (5-year OS: 53.3%, 32.7%, 9.0%; P < 10^-4).

Conclusions:

  • Relative platelet drop >25% within six months is a significant predictor of poor prognosis in lower-risk MDS.
  • Combining relative platelet drop and RBC-TD provides an inexpensive, noninvasive method for outcome prediction in lower-risk MDS.
  • This approach aids in refining prognostic assessments for MDS patients.

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