Role of platelet indices in differentiating hypoproductive and hyperdestructive thrombocytopenia

Background: During evaluation of thrombocytopenic patients, it is essential to identify the etiology, whether it is due to hypoproduction or hyperdestruction which will have impact on the management. Aim of study is to evaluate the variation and relationship of platelet indices in hypoproductive and hyperdestructive thrombocytopenia patients. Methods: A cross sectional study for a period of 2 months on Patients with thrombocytopenia. Platelet count, Plateletcrit (PCT), Platelet Distribution Width (PDW) and Mean Platelet Volume (MPV) and relevant clinical details of the thrombocytopenic patients were collected and tested for statistical significance by unpaired t test. Results: This study included 120 patients of thrombocytopenia who were classified into hypoproductive (26 cases) and hyperdestructive (94 cases). The mean platelet count in hypoproduction group is 75.9 ± 36.4 and in hyperdestruction group is 79.6 ± 36.3 with a P value of 0.64. The mean MPV in hypoproduction group is 10.17 ± 1.3 and in hyperdestruction group is 12.3 ± 0.9 with a significant P value of 0.05. The mean PDW in hypoproduction group is 19.7 ± 5.4 and in hyperdestruction group is 19.3 ± 4.2 with a P value of 0.7. The mean PCT in hypoproduction group is 0.06 ± 0.03 and in hyperdestruction group is 0.08 ± 0.1 with a P value of 0.2. Conclusion: Mean platelet volume may provide useful information in discriminating the hypoproductive and hyperdestructive thrombocytopenia. Interpretation of platelet indices can help the thrombocytopenic patients in the initial management and can avoid invasive investigations. DOI: 10.21276/APALM.1357

[1]  S. Chaudhari,et al.  Role of Platelet Parameters in Diagnosing Various Clinical Conditions , 2015 .

[2]  Ak Ageep,et al.  Role of Platelet Indices in Patients with Dengue Infection in Red Sea State , Sudan , 2015 .

[3]  S. Mhetre,et al.  How far are the platelet indices mirror image of mechanism of thrombocytopenia-mystery still remains. , 2014 .

[4]  Yong-Jun Ma,et al.  Platelet volume indices have low diagnostic efficiency for predicting bone marrow failure in thrombocytopenic patients , 2012, Experimental and therapeutic medicine.

[5]  M. Lishner,et al.  Are platelet volume indices of clinical use? A multidisciplinary review , 2012, Annals of medicine.

[6]  G. Gaedicke,et al.  Immature platelet count: A simple parameter for distinguishing thrombocytopenia in pediatric acute lymphocytic leukemia from immune thrombocytopenia , 2011, Pediatric blood & cancer.

[7]  A. J. do Nascimento,et al.  Platelet indices: laboratory and clinical applications , 2011, Revista brasileira de hematologia e hemoterapia.

[8]  Sompal Singh,et al.  Role of platelet volume indices in the differential diagnosis of thrombocytopenia: a simple and inexpensive method , 2009, Hematology.

[9]  A. Ishiguro,et al.  Use of the Platelet Indices for Differential Diagnosis of Pediatric Immune Thrombocytopenic Purpura ( ITP ) , 2008 .

[10]  T. Numbenjapon,et al.  A prospective evaluation of normal mean platelet volume in discriminating hyperdestructive thrombocytopenia from hypoproductive thrombocytopenia , 2008, International journal of laboratory hematology.

[11]  G. Kaiafa,et al.  Increased Values of Mean Platelet Volume and Platelet Size Deviation Width May Provide a Safe Positive Diagnosis of Idiopathic Thrombocytopenic Purpura , 2008, Acta Haematologica.

[12]  N. Usui,et al.  Platelet size deviation width, platelet large cell ratio, and mean platelet volume have sufficient sensitivity and specificity in the diagnosis of immune thrombocytopenia , 2005, British journal of haematology.

[13]  L. Joutsi-Korhonen,et al.  Chronic thrombocytopenia of childhood: use of non‐invasive methods in clinical evaluation , 2004, European journal of haematology.

[14]  D. Mikhailidis,et al.  Mean platelet volume as an indicator of platelet activation: methodological issues , 2003, Platelets.

[15]  K. Kottke-Marchant,et al.  The Laboratory Diagnosis of Platelet Disorders An Algorithmic Approach , 2002 .

[16]  W. Bezwoda,et al.  Platelet parameters. Part II. Platelet volume-number relationships in various normal and disease states. , 1988, South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde.

[17]  F. Gardner,et al.  Thrombocytopenia due to defective platelet production. , 1983, Clinics in haematology.

[18]  J. Akatsuka,et al.  Differential Diagnosis of Various Thrombocytopenias in Childhood by Analysis of Platelet Volume , 1980, Pediatric Research.