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Importance of immature platelet fraction as predictor of immune thrombocytopenic purpura. | LitMetric

AI Article Synopsis

  • Immune thrombocytopenic purpura (ITP) is a condition characterized by low platelet levels leading to bleeding and bruising, and can be diagnosed based on symptoms and platelet analysis.
  • A study involving 231 patients tested the Sysmex XE-2100 automated analyzer to evaluate the immature platelet fraction (IPF%) as a diagnostic tool for ITP, finding significant differences between ITP and non-ITP patients.
  • The results showed a high diagnostic sensitivity for the IPF% in identifying ITP, suggesting it could be a reliable method for predicting this condition.

Article Abstract

Background And Objective: Immune thrombocytopenic purpura (ITP) is a clinical syndrome in which a decreased number of circulating platelets (thrombocytopenia) manifests as a bleeding tendency, easy bruising (purpura) or extravasation of blood from capillaries into skin and mucous membranes (petechiae). The diagnosis of ITP can be made clinically on the basis of symptoms, we need to see if ITP can be confirmed in patients by quantification of residual RNA containing immature platelets (megakaryocytic mass) or immature platelets fraction (IPF) using automated hematology analyzers (Sysmex XE-2100).

Methods: In order to check the efficacy of IPF% parameter of Sysmex XE-2100 a total of 231 patients of thrombocytopenia were included in this study. Complete blood count (CBC) was estimated. The data was statistically analyzed by SPSS version 17.

Results: About 62 patients were diagnosed as ITP and 169 patients were diagnosed as non ITP on the basis of clinical history. The mean IPF % value of ITP patients was 16.39% and the IPF % value of Non ITP patients was ~7.69% respectively. There was no significant difference in IPF% values with respect to time between sampling and acquisition of complete blood count. The diagnostic sensitivity of IPF% as biomarker for ITP and non-ITP was 85.71% (95%CI: 84.04% to 85.96%) and 41.76% (95% CI: 39.87% to 43.65%).

Conclusion: The mean IPF % value by Sysmex XE-2100 can be used to predict ITP.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928401PMC
http://dx.doi.org/10.12669/pjms.323.9456DOI Listing

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