Diagnostic Value of MPV, PDW, PAIg and Their Combination for Megakaryocyte Dysmaturity in Children with Acute Immune Thrombocytopenic Purpura.
10.7534/j.issn.1009-2137.2019.06.039
- Author:
Jia-Qin ZHANG
1
;
Xiang-Hua HOU
2
;
Qiang HONG
3
;
Zhi-Qi CHEN
1
;
Rong LU
1
;
Shuo-Jie LIU
1
;
Jin-Tao ZHAO
4
;
Guo-Lin HONG
5
,
6
Author Information
1. Department of Clinical Laboratorial Examination,The First Affiliated Hospital of Xiamen University, Xiamen 361003, Fujian Province, China.
2. Department of Nephrology;The First Affiliated Hospital of Xiamen University, Xiamen 361003, Fujian Province, China.
3. Department of Blood Transfusion; The First Affiliated Hospital of Xiamen University, Xiamen 361003, Fujian Province, China.
4. Department of Hematology,The First Affiliated Hospital of Xiamen University, Xiamen 361003, Fujian Province, China.
5. Department of Hematology,The First Affiliated Hospital of Xiamen University, Xiamen 361003, Fujian Province, China,E-mail: 18860089899@
6. com.
- Publication Type:Journal Article
- MeSH:
Antibodies;
Blood Platelets;
Child;
Humans;
Mean Platelet Volume;
Megakaryocytes;
Platelet Count;
Purpura, Thrombocytopenic, Idiopathic;
diagnosis
- From:
Journal of Experimental Hematology
2019;27(6):1949-1954
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To investigate the changes of mean platelet volume (MPV), platelet distribution width (PDW) and platelet associated antibodies (PAIg) in children with acute immune thrombocytopenic purpura (aITP), and to explore the diagnostic value of MPV, PDW, PAIg and their combination for megakaryocyte dysmaturity in aITP children.
METHODS:Plt count, MPV and PDW of 36 aITP children were measured by using Sysmex XN automatic blood cell analyzer, and 33 children with acquired thrombocytopenic purpura (ATP) without megakaryocyte dysmaturity. The expression of PAIg was detected by flow cytometry, and the number and classification of megakaryocytes in the bone marrow were performed by marrow cytology. The diagnostic significances of MPV, PDW, PAIg and their combination as well as the sensitivity and specificity for megakaryocytes dysmaturity in aITP were assessed through calculating the area under ROC curve (AUC), after determining the influence of each parameters on the megakaryocyte dysmaturity by Logistic regression.
RESULTS:MPV, PDW and PAIg of aITP children were significantly higher than those of the ATP children (P＜0.05), while the Plt count and number of thromocytogenic megakaryocytes per area (1.5 cm×3 cm) were less than those of the controls (P＜0.05). Count of RBC and WBC, percentages of neutrophil granulocytes and lymphocydes in aITP were similar to those in the controls（P＞0.05）. The results of Logistic regression showed that Plt count, MPV, PDW and PAIg were the factors influencing megakaryocyte dysmaturity in aITP children, and the regression model has a high statistical significance (χ=65.491，P=0.001) and r square (R=0.713). The AUC of the combined detection of Plt count, MPV, PDW and PAIg was 0.863, which was much higher than that of Plt count, MPV, PDW, PAIg individually or in pairs. The sensitivity and specificity of the combined detection were 79.167% and 89.697%, which were higher than those of Plt count, MPV, PDW, PAIg individually or in pairs.
CONCLUSION:The diagnostic significance of MPV and PDW for megakaryocyte dysmaturity in aITP are insufficient, but the diagnostic efficacy can be improved by combined examination with PAIg.
