Literature DB >> 20723311

[Significance of platelet parameters and lactate dehydrogenase level in differential diagnosis for thrombocytosis].

Ke-Jie Zhang1, Quan-Yi Lu, Pu Li, Peng Zhang, Xiao-Qing Niu.   

Abstract

This study was purposed to explore the clinical application of mean platelet volume (MPV), platelet distribution width (PDW), platelet-large cell ratio (P-LCR), lactate dehydrogenase (LDH) level in the differential diagnosis of thrombocytosis. The clinical applications of 3 platelet routine laboratory parameters (MPV, PDW, P-LCR) and LDH were examined in 1048 patients with thrombocytosis-related diseases: reactive thrombocytosis (RT), chronic myeloproliferative disease (CMPD) including chronic myeloid leukemia (CML), essential thrombocythemia (ET) and polycythemia vera (PV). Receiver operating characteristic (ROC) curve was used to predict the cause of thrombocytosis. The results indicated that there were significant differences in MCV, PDW, P-LCR and LDH level between RT and CMPD groups (p < 0.05). The area under ROC curve of PDW and P-LCR for prediction of CMPD were 0.96 (95% CI: 0.93 - 0.99) and 0.89 (95% CI: 0.84 - 0.95) respectively, and whose optimal cut-off value was 11.95%and 23.05% respectively. Three types of CMPD were characterized as follows: high P-LCR and high LDH level in chronic myeloid leukemia, whose optimal cut-off value was 424 U/L and 26.10% respectively; slightly high LDH level and high Plt count in ET, the optimal cut-off value of Plt was 939 x 10⁹/L. In conclusion, these characteristics of MPV, PDW, P-LCR and LDH levels may be useful for simple and primary differential diagnosis of the thrombocytosis-related disease mentioned above.

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Year:  2010        PMID: 20723311

Source DB:  PubMed          Journal:  Zhongguo Shi Yan Xue Ye Xue Za Zhi        ISSN: 1009-2137


  1 in total

1.  An association of platelet indices with blood pressure in Beijing adults: Applying quadratic inference function for a longitudinal study.

Authors:  Kun Yang; Lixin Tao; Gehendra Mahara; Yan Yan; Kai Cao; Xiangtong Liu; Sipeng Chen; Qin Xu; Long Liu; Chao Wang; Fangfang Huang; Jie Zhang; Aoshuang Yan; Zhao Ping; Xiuhua Guo
Journal:  Medicine (Baltimore)       Date:  2016-09       Impact factor: 1.889

  1 in total

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