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- W4382536908 abstract "Introduction: Thrombocytopenia (TCP) refers to a reduction of platelet count below 150 x 109/ L; it’s not a disease entity by itself, but a finding that may result from a number of disease processes. Automated hematology analyzers that determine the Mean Platelet Volume (MPV), Platelet Distribution Width (PDW), Plateletcrit (PCT), and Platelet Large Cell Ratio (P-LCR), could be very helpful to facilitate the differential diagnosis of thrombocytopenia and to monitor thrombocytopenic conditions. Materials and methods: A cross-sectional study of platelet indices of 512 thrombocytopenic samples by automated hematology analyzers was done. Results: The cases of thrombocytopenia were classified into hypo-productive (362 cases) and hyper-destructive (150) groups. A most common cause of hypo-productive and hyper-destructive thrombocytopenia was Aplastic anemia and ITP, respectively. All the indices were significantly higher (p-value < 0.05) in hyper-destructive TCP compared to hypo-productive TCP, except Plateletcrit. Conclusion: The results of the present study show platelet indices to be a useful and reliable test to differentiate between hyper-destructive thrombocytopenia from the hypo-productive type with statistically significant differences." @default.
- W4382536908 created "2023-06-30" @default.
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- W4382536908 date "2023-06-29" @default.
- W4382536908 modified "2023-10-01" @default.
- W4382536908 title "A CROSS-SECTIONAL STUDY EVALUATION OF DIAGNOSTIC IMPLICATIONS OF PLATELET INDICES IN THROMBOCYTOPENIA." @default.
- W4382536908 doi "https://doi.org/10.51168/sjhrafrica.v4i6.490" @default.
- W4382536908 hasPublicationYear "2023" @default.
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