首页> 外文期刊>Transfusion and apheresis science: official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis >Optimization of CD34+ collection for autologous transplantation using the evolution of peripheral blood cell counts after mobilization with chemotherapy and G-CSF.
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Optimization of CD34+ collection for autologous transplantation using the evolution of peripheral blood cell counts after mobilization with chemotherapy and G-CSF.

机译:利用化学动员和G-CSF动员后外周血细胞计数的演变,优化自体移植CD34 +的收集量。

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BACKGROUND: Peripheral blood progenitor cells (PBPC) collection after high dose chemotherapy can be influenced by several factors. We searched for parameters that may predict the best day to start harvesting of PBPC in order to collect most CD34+ cells with the least number of aphereses. METHODS: We studied patients who underwent mobilization chemotherapy for autologous transplantation. The influence of age, sex, diagnosis, number of previous chemotherapy cycles, peripheral blood (PB) counts at day of mobilization (D0), day of neutrophils <1.0 x 10(9) l(-1) and day of nadir and interval between both (delta) on harvesting was investigated. Multivariate linear correlation models were built to predict the best harvesting with principles of parsimony. In patients where sequential CD34+ cell count was performed, the theoretical day of peak was calculated by interpolation in polynomial regression. RESULTS: One hundred and thirty four patients entered the analysis: 36 Hodgkin's lymphoma (HL), 65 B-large cell lymphoma (NHL) and 33 multiple myeloma (MM). Day of harvesting correlated with nr CHT, hemoglobin on D0, day of granulocytes <1.0 x 10(9) l(-1), delta and dosis of mobilization therapy. The day of CD34+ peak could be calculated by the formula = (-0.41) x Hemoglobin D0 + (day peripheral CD34+ cells = 10 x 10(6) microl(-1)) x 0.99 + 7.8. This model could explain 81% of the variance of the peak day and was stable by bootstrap resampling. Day of peripheral CD34+ cells = 10 x 10(6) microl(-1) preceded the calculated peak by 3-9 days. CONCLUSIONS: Although the day of best collection can be predicted using only sequential PB counts after mobilization chemotherapy, a model of prediction using peripheral CD34+ cell count is important especially for optimizing collection in poor mobilizing patients.
机译:背景:高剂量化疗后外周血祖细胞(PBPC)的收集可能受多种因素影响。我们搜索了一些参数,这些参数可以预测开始收获PBPC的最佳日子,以便收集具有最少信息素数量的大多数CD34 +细胞。方法:我们研究了动员化疗自体移植的患者。年龄,性别,诊断,以前的化疗周期数,动员日(D0),中性粒细胞日<1.0 x 10(9)l(-1)以及天底和间隔天的外周血(PB)计数的影响研究了两个收获期之间的差异。建立了多元线性相关模型,以简约原则预测最佳收成。在进行顺序CD34 +细胞计数的患者中,理论上的峰值天数是通过多项式回归中的插值计算得出的。结果:134例患者进入分析:36例霍奇金淋巴瘤(HL),65例B超大细胞淋巴瘤(NHL)和33例多发性骨髓瘤(MM)。收获日与nr CHT,D0上的血红蛋白,粒细胞<1.0 x 10(9)l(-1),动员治疗的δ和剂量有关。 CD34 +峰的天数可以通过公式=(-0.41)x血红蛋白D0 +(外围CD34 +细胞的天数= 10 x 10(6)microl(-1))x 0.99 + 7.8来计算。该模型可以解释高峰日变化的81%,并且通过自举重采样是稳定的。外围CD34 +细胞的天数= 10 x 10(6)microl(-1)在计算的峰值之前3-9天。结论:尽管动员化疗后仅使用顺序的PB计数可以预测最佳采集的日期,但使用外周CD34 +细胞计数的预测模型尤其重要,对于优化动员较差的患者尤其重要。

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