Department of Clinical Laboratory, 87805Fuyang People's Hospital, Fuyang, Anhui, China.
School of Medical, Jiangsu University, Zhenjiang 212013, Jiangsu Province, China.
Clin Appl Thromb Hemost. 2022 Jan-Dec;28:10760296221106779. doi: 10.1177/10760296221106779.
To investigate the application value of bone marrow megakaryocyte count, the proportion of megakaryocytes at each stage, and the platelet parameter in the clinical diagnosis of primary immune thrombocytopenia (ITP). The megakaryocyte and platelet parameter level in 62 ITP and 40 control group patients were compared and analyzed. Linear correlation analysis, Pearson correlation analysis, and ROC curves were performed for the correlation between megakaryocytes and platelet parameters. Compared to the control group, the total number of megakaryocytes, the promegakaryocytes the granular megakaryocytes (GMeg), and naked megakaryocytes (NMeg), MPV, and P-LCR% in the ITP group increased. All differences were statistically significant (<0.05). While the proportion of platelet-producing megakaryocytes (PMeg), PLT, and PCT decreased in the ITP group. These differences were statistically significant ( 0.05). PLT was strongly positively correlated with PCT (r = 0.921, p<0.01). PCT was weakly positively with MPV (r = 0.309, p<0.05). MPV was positively correlated with P-LCR (r = 0.856, p<0.01). PDW was weakly positively correlated with P-LCR (r = 0.296, p<0.05) and Meg (r = 0.301, p<0.05), and negatively correlated with PMeg (r = -0.336, p<0.05). ROC curve analysis showed that PLT, PCT MPV and P-LCR% gave a high sensitivity（100.0%，81.0%，74.6%，90.5%，respectively.) and specificity (100.0%, 92.5%, 80.0%, 77.5%, respectively.) in diagnosis of ITP. The combined analysis of bone marrow megakaryocyte count, the proportion of megakaryocyte classification at each stage, and platelet parameters have an important reference value for auxiliary diagnosis of ITP.
为了探讨骨髓巨核细胞计数、各阶段巨核细胞比例和血小板参数在原发性免疫性血小板减少症（ITP）临床诊断中的应用价值。比较并分析了 62 例 ITP 患者和 40 例对照组患者的巨核细胞和血小板参数水平。对巨核细胞与血小板参数之间的相关性进行线性相关分析、Pearson 相关分析和 ROC 曲线分析。与对照组相比，ITP 组的总巨核细胞数、前巨核细胞、颗粒巨核细胞（GMeg）和裸巨核细胞（NMeg）、MPV 和 P-LCR%增加。所有差异均有统计学意义（<0.05）。而血小板生成巨核细胞（PMeg）、PLT 和 PCT 在 ITP 组中减少。这些差异有统计学意义（0.05）。PLT 与 PCT 呈强正相关（r=0.921，p<0.01）。PCT 与 MPV 呈弱正相关（r=0.309，p<0.05）。MPV 与 P-LCR 呈正相关（r=0.856，p<0.01）。PDW 与 P-LCR 呈弱正相关（r=0.296，p<0.05）和 Meg（r=0.301，p<0.05），与 PMeg 呈负相关（r=-0.336，p<0.05）。ROC 曲线分析显示，PLT、PCT、MPV 和 P-LCR%在诊断 ITP 时具有较高的敏感性（分别为 100.0%、81.0%、74.6%和 90.5%）和特异性（分别为 100.0%、92.5%、80.0%和 77.5%）。骨髓巨核细胞计数、各阶段巨核细胞分类比例及血小板参数联合分析对 ITP 的辅助诊断具有重要参考价值。
