-Author name in bold denotes the presenting author
-Asterisk * with author name denotes a Non-ASH member
Clinically Relevant Abstract denotes an abstract that is clinically relevant.

PhD Trainee denotes that this is a recommended PHD Trainee Session.

Ticketed Session denotes that this is a ticketed session.

1903 Decision-Tree Algorithm Optimize Hematopoietic Progenitor Cell-Based Prediction in Peripheral Blood Stem Cell Mobilization

Cell Collection and Processing
Program: Oral and Poster Abstracts
Session: 711. Cell Collection and Processing: Poster I
Saturday, December 5, 2015, 5:30 PM-7:30 PM
Hall A, Level 2 (Orange County Convention Center)

Chia-Yun Wu1*, Tzeon-Jye Chiou, MD2*, Chun-Yu Liu1*, Feng-Chang Lin3*, Jeong-Shi Lin1*, Man-Hsin Hung1*, Liang-Tsai Hsiao1*, Jyh-Pyng Gau, MD1*, Jin-Hwang Liu, MD, PhD1, Hsiu-Ju Yen4*, Giun-Yi Hung, MD5*, Hui-Chi Hsu1*, Cheng-Hwai Tzeng1*, Muh-Hwa Yang1*, Po-Min Chen1* and Yuan-Bin Yu1*

1Division of Hematology/Oncology, Taipei Veterans General Hospital, National Yang-Ming University, Taipei, Taiwan
2Division of Transfusion Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
3University of North Carolina at Chapel Hill, North Carolina, USA, North Carolina, NC
4Division of Pediatric Hematology and Oncology, Department of Pediatrics, Taipei Veterans General Hospital, National Yang-Ming University, Taipei, Taiwan
5Taipei Veterans General Hospital and National Yang-Ming University, Taipei, Taiwan

Background and Objectives

Enumeration of hematopoietic progenitor cells (HPC) using an automated hematology analyzer provides rapid, inexpensive, and less technically dependent prediction of peripheral blood stem cell (PBSC) mobilization. This study aimed to incorporate HPC enumeration along with other predictors for optimizing a successful harvest. 

Materials and Methods

Between 2007 and 2012, 189 consecutive patients who proceeded to PBSC harvesting with a preharvest HPC ≥ 20 x 106/L were recruited. A failed PBSC mobilization was defined as < 2 x 106 CD34+ cells/kg. Variables predicting a successful harvest identified by multivariate logistic regression and correlation analysis were subjected to classification and regression tree (CART) analysis.

Results

A total of 154 (81.5%) patients successfully achieved mobilization of CD34+ cells (median 8.18 x 106 CD34+ cells/kg). Five independent host predictors including age ≥ 60, a diagnosis of solid tumor, prior chemotherapy cycles ≥ 5, prior radiotherapy, and mobilization with G-CSF alone or high-dose cyclophosphamide, as well as laboratory markers including HPC and mononuclear cell (MNC) counts, were used for CART analysis. The number of host predictors with a cutoff at two, HPC cutoff at 28 x 106/L and MNC cutoff at 3.5 x 109/L were best discriminative for successful prediction. In the decision tree algorithm, patients predicted as good mobilizers (0 to 2 risk factors) had a higher success rate (150/169, 88.8%) than that (4/20, 20.0%) of those predicted as poor mobilizers (3-5 risk factors). Moreover, patients predicted as good mobilizers and further with a HPC enumeration ≥ 28 x 106/L had a high probability of achieving successful mobilization (138/148, 93.2%).

Conclusion

Our CART algorithm incorporating host predictors, HPC enumeration and MNC count may improve prediction and thus increase the success of PBSC mobilization. Further prospective validation is necessary.

Disclosures: No relevant conflicts of interest to declare.

See more of: 711. Cell Collection and Processing: Poster I
See more of: Cell Collection and Processing
See more of: Oral and Poster Abstracts
<< Previous Abstract | Next Abstract

*signifies non-member of ASH