Department of Pathology, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA.
Cytotherapy. 2012 Apr;14(4):461-6. doi: 10.3109/14653249.2011.652733. Epub 2012 Jan 25.
The ability to predict how many CD34(+) cells a donor will collect on a given day is vital for efficient leukapheresis.
We validated a formula to predict daily CD34(+) cell collections by leukapheresis, calculated as follows: (peripheral blood CD34(+) cells/L) × (adjusted collection efficiency of 30%)/body weight (kg), multiplied by the number of liters processed. This validation was performed from 234 donors undergoing 30 L large volume leukapheresis (LVL) and 162 donors undergoing smaller collections (non-LVL). The LVL group consisted of 811 collection events (625 multiple myeloma, 186 non-myeloma). The non-LVL group consisted of 224 collection events (196 multiple myeloma, 28 non-myeloma). All predicted and observed CD34(+) cell collection numbers were plotted (predicted versus observed) and assessed using linear regression analyses. Linear correlation coefficients (r-values), slopes and intercepts of the regression lines were evaluated.
Predicted versus observed data points across all quantities of CD34(+) cells/kg collected by both LVL and non-LVL had strong r-values of 0.947 and 0.913, respectively, demonstrating near perfect positive linear correlations. Data for LVL collections subgrouped by number of cells collected (poor, intermediate and good), mobilization regimen, collection day and diagnosis were analyzed the same way and showed consistent findings.
We have validated a formula with a strong ability to predict collection of CD34(+) cells/kg that would allow for individualization of collection for any donor once the peripheral blood CD34(+) cell count and optimal goal of collection were known; to date this has not been published by other groups.
准确预测供者在特定时间采集的 CD34(+)细胞数量对于高效的白细胞分离术至关重要。
我们验证了一种通过白细胞分离术预测每日 CD34(+)细胞采集量的公式,计算方法如下:(外周血 CD34(+)细胞/L)×(调整后的 30%采集效率)/体重(kg),乘以处理的升数。该验证是基于 234 名接受 30 升大容量白细胞分离术(LVL)和 162 名接受较小采集量(非-LVL)的供者进行的。LVL 组包括 811 次采集事件(625 例多发性骨髓瘤,186 例非多发性骨髓瘤)。非-LVL 组包括 224 次采集事件(196 例多发性骨髓瘤,28 例非多发性骨髓瘤)。所有预测和观察到的 CD34(+)细胞采集数量都进行了绘制(预测值与观察值),并使用线性回归分析进行评估。评估了回归线的线性相关系数(r 值)、斜率和截距。
LVL 和非-LVL 采集的所有 CD34(+)细胞/kg 数量的预测与观察数据点均具有 0.947 和 0.913 的强 r 值,分别为 0.947 和 0.913,表明存在近乎完美的正线性相关性。根据采集的细胞数量(差、中、好)、动员方案、采集日和诊断对 LVL 采集子组进行分组,采用相同的方法进行分析,结果一致。
我们验证了一种具有较强预测 CD34(+)细胞/kg 采集能力的公式,该公式可以根据供者的外周血 CD34(+)细胞计数和最佳采集目标,在知道这两个参数后,对任何供者进行个体化采集;迄今为止,这尚未被其他小组发表。