Predictive factors for poor mobilization in autologous stem cell transplant: a multivariate model

Area of Science:

• Hematology
• Transplant Immunology
• Oncology

Background:

• Stem cell mobilization is critical for autologous stem cell transplantation.
• Inadequate mobilization poses a significant challenge, limiting transplant success.
• Existing risk factors for poor mobilization have limited clinical applicability.

Purpose of the Study:

• To identify predictors of poor stem cell mobilization.
• To develop a clinically applicable predictive model for mobilization outcomes.

Main Methods:

• Retrospective analysis of 430 patients undergoing autologous stem cell transplantation.
• Definition of poor mobilization: < 2 × 10⁶ CD34+ cells/kg or extended apheresis.
• Multivariate analysis to develop a predictive model for mobilization failure.

Main Results:

• 28.6% of patients experienced poor mobilization.
• A predictive model achieved high accuracy (AUC 0.97-0.98).
• Key predictors include low platelet count, bone marrow infiltration, advanced disease, and prior alkylating agent exposure.

Conclusions:

• The developed model accurately predicts poor stem cell mobilization.
• High sensitivity (>91%) and specificity (>98%) demonstrate clinical utility.
• The model can be applied pre-mobilization to guide treatment strategies.