» Articles » PMID: 35924375

The Value of Combined Detection of Megakaryocyte and Platelet Parameters for the Diagnosis of Primary Immune Thrombocytopenia

Overview
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

The diagnostic accuracy of mean platelet volume in differentiating immune thrombocytopenic purpura from hypo-productive thrombocytopenia: A systematic review and meta-analysis.

Walle M, Arkew M, Asmerom H, Tesfaye A, Getu F PLoS One. 2023; 18(11):e0295011.

PMID: 38033118 PMC: 10688894. DOI: 10.1371/journal.pone.0295011.


Evaluation of Platelet Parameters in Patients With Secondary Failure of Platelet Recovery and Cytomegalovirus Infection After Hematopoietic Stem Cell Transplantation.

Zhao Y, An S, Bi H, Luo X, Wang M, Pang A Clin Appl Thromb Hemost. 2023; 29:10760296231157741.

PMID: 36789787 PMC: 9932754. DOI: 10.1177/10760296231157741.

References
1.
Yang W, Chen Y, Bi C, Shu K, Ye M, Li F . Predictive and prognostic values of preoperative platelet parameters in patients with gynecological tumors. J Clin Lab Anal. 2020; 34(7):e23295. PMC: 7370708. DOI: 10.1002/jcla.23295. View

2.
Audia S, Mahevas M, Samson M, Godeau B, Bonnotte B . Pathogenesis of immune thrombocytopenia. Autoimmun Rev. 2017; 16(6):620-632. DOI: 10.1016/j.autrev.2017.04.012. View

3.
Tang Y, He P, Li Y, Chen H, Chang X, Xie Q . Diagnostic value of platelet indices and bone marrow megakaryocytic parameters in immune thrombocytopenic purpura. Blood Coagul Fibrinolysis. 2016; 28(1):83-90. DOI: 10.1097/MBC.0000000000000612. View

4.
He Y, Ji D, Lu W, Li F, Huang X, Huang R . Bone marrow mesenchymal stem cell-derived exosomes induce the Th17/Treg imbalance in immune thrombocytopenia through miR-146a-5p/IRAK1 axis. Hum Cell. 2021; 34(5):1360-1374. DOI: 10.1007/s13577-021-00547-7. View

5.
Skopec B, Sninska Z, Tzvetkov N, Ivanushkin V, Bjorklof K, Hippenmeyer J . Effectiveness and safety of romiplostim among patients with newly diagnosed, persistent and chronic ITP in routine clinical practice in central and Eastern Europe: an analysis of the PLATON study. Hematology. 2021; 26(1):497-502. DOI: 10.1080/16078454.2021.1948209. View