Year: 2024 | Month: January | Volume: 14 | Issue: 1 | Pages: 114-118
DOI: https://doi.org/10.52403/ijhsr.20240115
Spectrum of Platelet Histograms in Adult Thrombocytopenia
Dr. Vara Prasad BM1, Dr. Atira Mirza2, Dr. Mangalagouri SR3
1Assistant Professor, Department of pathology, Ramaiah Medical College, Bengaluru India
2Senior Resident, Department of pathology, Ramaiah Medical College, Bengaluru India
3Professor & HOD, Department of pathology, Ramaiah Medical College, Bengaluru India
Corresponding Author: Dr. Atira Mirza
ABSTRACT
Background: With hematology automation, both platelet indices and their histograms are available from the cell counters at no extra cost or time. The variations of histograms in various underlying mechanisms of thrombocytopenias are explored in this study.
Methods: Adults with thrombocytopenia determined were categorized into four groups based on the mechanism of thrombocytopenia and variations in platelet histograms were studied in all groups. Data was collated and analyzed using Microsoft Excel.
Results: A total of 440 adults with thrombocytopenia were seen, most of them had hyperdestructive type (55.91%) followed by hypoproductive type (39.78%), abnormal pooling (2.27%) and EDTA induced thrombocytopenia (2.04%). The following variations in histogram were seen; Normal curve (6.8%), Curve not touching/reaching the baseline (37.27%), Broad based curve (7.9%), Bimodal curve (7.5%), Curve with short peak (39.3%) and Saw-tooth appearance of curve (1.1%) and correlated with the above-mentioned mechanisms of thrombocytopenias using SPSS software version 20.
Conclusion: An awareness regarding the variations in the platelet curve ensures a good correlation with its numerical parameters and also with the etiology of thrombocytopenias. Automation taking over in most of the laboratories, it is imperative to have knowledge about these simple yet, often overlooked platelet histograms
Key words: Thrombocytopenia, platelet histograms.