Department of Transfusion Medicine, Okayama University Hospital, Okayama, Japan.
Transfusion. 2009 Nov;49(11):2384-9. doi: 10.1111/j.1537-2995.2009.02314.x. Epub 2009 Jul 17.
Allogeneic peripheral blood stem cell (PBSC) transplantation is widely performed as a curative therapy for hematopoietic malignancies. Donors for PBSC harvest (PBSCH) are usually healthy subjects and undergo granulocyte-colony-stimulating factor treatment and apheresis procedures. A considerable proportion of donors experience poor mobilization, necessitating additional harvesting or marrow collection or remobilization. Although some characteristics have been reported to correlate with poor mobilization, they may not be taken into account in selecting PBSC donors. To protect healthy donors, it is preferable to predict the number of apheresis procedures needed for PBSCH before the procedure is initiated.
A retrospective cohort study of 83 subjects was conducted, using statistical models to predict the probability of obtaining a sufficient number of CD34+ cells (>or=2.0 x 10(6)/kg) in the first to the third apheresis procedures and the probability of failure to obtain sufficient cells within three apheresis sessions. This study explored potential candidate factors in an ordinal probit regression analysis.
Significant factors predicting successful PBSCH were donor age, donor sex, and body weight difference between donor and recipient. The predictive model showed good agreement with the observed number of apheresis sessions. Simulation tables are presented with this model.
The statistical model developed to predict the number of apheresis procedures for PBSCH may be useful for planning PBSCH in clinical practice.
异基因外周血造血干细胞(PBSC)移植被广泛应用于血液恶性肿瘤的根治性治疗。PBSC 采集(PBSCH)的供者通常为健康个体,接受粒细胞集落刺激因子治疗和单采术。相当一部分供者存在动员不佳的情况,需要额外的采集或骨髓采集或再动员。尽管已有一些特征与动员不佳相关,但在选择 PBSC 供者时可能未被考虑在内。为了保护健康供者,最好在开始采集前预测 PBSCH 所需的单采次数。
对 83 例患者进行了回顾性队列研究,使用统计模型预测在第一至第三次单采中获得足够数量的 CD34+细胞(≥2.0×10^6/kg)的概率,以及在三次单采内未能获得足够细胞的概率。本研究在有序概率回归分析中探讨了潜在的候选因素。
成功进行 PBSCH 的显著预测因素为供者年龄、供者性别和供者与受者体重差异。该预测模型与观察到的单采次数具有良好的一致性。本文提供了该模型的模拟表。
该预测 PBSCH 所需单采次数的统计模型可能有助于临床实践中的 PBSCH 计划。