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血小板分布宽度能否用于预测慢性骨髓增殖性肿瘤的可能性?

Can Platelet Distribution Width Be Used to Predict the Possibility of Chronic Myeloproliferative Neoplasms?

作者信息

Chandrashekar Vani, Tarigopula Anil

机构信息

Department of Hematology, Apollo Hospitals, Chennai, India.

Department of Centralised Molecular Diagnostics, Apollo Hospitals, Chennai, India.

出版信息

Lab Med. 2019 Apr 8;50(2):174-179. doi: 10.1093/labmed/lmy061.

DOI:10.1093/labmed/lmy061
PMID:30329092
Abstract

Platelet distribution width (PDW) and mean platelet volume are markers of platelet activation and have prognostic value in coronary heart diseases, as well as in cancers of solid organs. In this study, we evaluated the possibility of using PDW to predict chronic myeloproliferative neoplasms by comparing platelet indices obtained by automated analyzers in chronic myeloproliferative neoplasms with those in control specimens. We found that PDW greater than 66.4% has specificity of 99% and likelihood ratio of 19.5 for predicting chronic myeloproliferative neoplasms. Also, the area under curve (AUC) for platelet distribution width is 0.68.

摘要

血小板分布宽度(PDW)和平均血小板体积是血小板活化的标志物,在冠心病以及实体器官癌症中具有预后价值。在本研究中,我们通过比较慢性髓性增殖性肿瘤患者与对照样本经自动分析仪测得的血小板指标,评估了使用PDW预测慢性髓性增殖性肿瘤的可能性。我们发现,PDW大于66.4%对预测慢性髓性增殖性肿瘤具有99%的特异性和19.5的似然比。此外,血小板分布宽度的曲线下面积(AUC)为0.68。

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