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Gender, cholinesterase, platelet count and red cell count are main predictors of peripheral blood stem cell mobilization in healthy donors
Author(s) -
Fürst Daniel,
Hauber David,
Reinhardt Peter,
Schauwecker Peter,
Bunjes Donald,
Schulz Ansgar,
Mytilineos Joannis,
Wiesneth Markus,
Schrezenmeier Hubert,
Körper Sixten
Publication year - 2019
Publication title -
vox sanguinis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 83
eISSN - 1423-0410
pISSN - 0042-9007
DOI - 10.1111/vox.12754
Subject(s) - apheresis , mobilization , platelet , stem cell , medicine , cd34 , immunology , blood cell , body mass index , andrology , biology , genetics , archaeology , history
Background and objectives Mobilization of CD34 + cells by stimulation with G‐CSF shows considerable variation across stem cell donors. Upfront prediction of CD34 + cell counts in peripheral blood based on easily available steady‐state parameters would be helpful for the planning of apheresis and stem cell transplantation. Commonly accepted steady‐state predictors for the mobilization are gender, body mass index and platelet count. The aim of the study was the identification of novel predictors that might influence mobilization efficacy and to create a model for the prediction of stem cell mobilization. Methods A total of 333 healthy stem cell donors who donated peripheral stem cells in our institution were retrospectively analysed. All available data before stem cell mobilization with G‐CSF were included in the database. Primary end‐point was CD34 + cell count before the first apheresis. Results In this cohort cholinesterase, differential blood cell counts including platelets, gender and body mass index were significantly correlated with CD34 + cell count. G‐CSF dose per lean body weight showed a significant correlation with mobilization efficacy in women but not in men. A multivariate analysis identified gender, cholinesterase and platelet and red cell count as main predictors of mobilization. Red cell count showed a strong gender dependence, with higher predictive value in females. Conclusion The counts of eosinophils, platelets, red cells, cholinesterase and gender are the most important predictors of CD34 + cell mobilization in our deduced models. The red cell count as a predictor for mobilization showed a differential gender dependence.

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