Chong Siew Lian, Ahmad Asnawi Asral Wirda, Tengku Mohd Tengku Amatullah Madeehah, Tan Sen Mui
Department of Hematology, Hospital Ampang, Ampang Jaya, Selangor, Malaysia.
Faculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, Nilai, Negeri Sembilan, Malaysia.
J Blood Med. 2024 Aug 22;15:387-394. doi: 10.2147/JBM.S460820. eCollection 2024.
The CD34+ hematopoietic cell count was used to define cell harvest goals. Successful peripheral blood stem cell transplantation depends on infusion of an appropriate number of HPCs to achieve rapid and durable hematologic recovery.
In this study, we evaluated the use of the Hematopoietic Progenitor Cell count program on the Sysmex XN-3000 hematology analyzer as an effective parameter for enumerating CD34+ cells.
Whole blood samples from 144 subjects who are either healthy donors or patients scheduled to undergo peripheral blood stem cell collection were collected and hemopoietic stem cells were quantified using CD34 cell enumeration by flow cytometry and XN-HPC by hematology analyzer.
The correlation between the two methods was high (r = 0.766; 95% CI: 0.702-0.818). Passing-Bablok showed an intercept at 3.45 (2.54 to 4.74) with a slope of 0.78 (95% CI 0.69 to 0.89). Residual analysis of this model indicated no significant deviation from linearity (p = 0.360). The receiver operating characteristic curve demonstrated an area under curve to be 0.88 (0.82 to 0.92), with a positive predictive value of 80.3%. The correlation between CD34+ and XN-HPC showed a strong relationship and good agreement with minimal bias.
The XN-HPC showed good analytical performance. With the increasing requirements for stem cell transplantation, a technically simple and rapid alternative for stem cell enumeration that is sustainable is highly useful.
采用CD34+造血细胞计数来确定细胞采集目标。成功的外周血干细胞移植依赖于输注适当数量的造血祖细胞,以实现快速且持久的血液学恢复。
在本研究中,我们评估了Sysmex XN-3000血液分析仪上的造血祖细胞计数程序作为计数CD34+细胞的有效参数。
采集了144名受试者的全血样本,这些受试者为健康供者或计划接受外周血干细胞采集的患者,并通过流式细胞术进行CD34细胞计数以及使用血液分析仪进行XN-HPC计数来对造血干细胞进行定量分析。
两种方法之间的相关性很高(r = 0.766;95%置信区间:0.702 - 0.818)。Passing-Bablok分析显示截距为3.45(2.54至4.74),斜率为0.78(95%置信区间0.69至0.89)。该模型的残差分析表明无显著的线性偏差(p = 0.360)。受试者工作特征曲线显示曲线下面积为0.88(0.82至0.92),阳性预测值为80.3%。CD34+与XN-HPC之间的相关性显示出很强的关系且一致性良好,偏差极小。
XN-HPC显示出良好的分析性能。随着干细胞移植需求的增加,一种技术上简单、快速且可持续的干细胞计数替代方法非常有用。