A comparative study of platelet count by manual method and automated analyser: a retrospective study
DOI:
https://doi.org/10.18203/2320-6012.ijrms20242611Keywords:
Platelet count, Thrombocytopenia, Thrombocytosis, Automated method, Manual methodAbstract
Background: Platelets are essential for hemostasis and preventing bleeding. They are produced in the bone marrow at a rate of about 10 per day. The normal platelet count range is 150,000 to 450,000 per microliter of blood. Accurate platelet counts are crucial for diagnosing and managing related disorders. This study aims to promote advanced technologies and improve healthcare practices, enhancing patient outcomes.
Methods: This retrospective study was included 199 individuals. Venous blood samples were collected in EDTA vacutainer tube for the estimation of platelet count in manual and automated method. The results were analysed using SPSS software
Results: The average mean values of platelet in manual method were 208080 and in the automated method was 215979. Analysis of data obtained showed that there was a statically significant differences in manual and automated method of platelet count (p values 0.011). There was Significant differences among Thrombocytopenia, Normal, Thrombocytosis were observed in manual as well in automated method with p values less than 0.001. There were no significant differences in platelet counts across age and gender groups been observed in both the methods.
Conclusion: The study found that the mean values of platelet in manual method was manual slightly higher compared to automated methods and showed statically significant. Additionally, there was a statistical difference between both the methods of platelet count among different patient groups However, no significant differences were observed in platelet counts based on gender or age groups.
References
Tyagi T, Jain K, Gu SX, Qiu M, Gu VW, Melchinger H, et al. A guide to molecular and functional investigations of platelets to bridge basic and clinical sciences. Nat Cardiovasc Res. 2022;1(3):223-37.
Meijden PE, Heemskerk JW. Platelet biology and functions: new concepts and clinical perspectives. Nat Rev Cardiol. 2019;16(3):166-79.
Giles C. The platelet counts and mean platelet volume. Br J Haematol. 1981;48(1):31-7.
Balduini CL, Noris P. Platelet count and aging. Haematologica. 2014;99(6):953.
Briggs C, Harrison P, Machin S. Continuing developments with the automated platelet count. Int J Lab Hematol. 2007;29(2):77-91.
Singh DJ, Parvaiz S, Shafi A, Jeelani N, Jeelani M. Comparison of platelet count by automated and manual methods, A study and review of literature in a medical college hospital in Kashmir. BJMHS. 2020;2:177-88.
Briggs C, Harrison P, Machin SJ. Continuing developments with the automated platelet count. Int J Lab Hematol. 2007;29(2):77-91.
Charie LA, Harrison P, Smith CU, Cobb JR, Briggs C, Machin S. Accuracy in the low platelet count range: A comparison of automated platelet counts on Beckman coulter high volume hematology analyzers with the ISLH/ICSH platelet reference method. Lab Hematol. 2001;7:236-44.
Ike SO, Nubila T, Ukaejiofo EO, Nubila IN, Shu EN, Ezema I. Comparison of haematological parameters determined by the Sysmex KX - 2IN automated hematology analyzer and the manual counts. BMC Clin Pathol. 2010;10:3.
Babadoko AA, Ibrahim IN, Musa AU, Usman N. Reproducibility of haematological parameters: Manual versus automated method. Sub-Saharan Afr J Med. 2016;3(2):65-70.
Mahajan D, Aashna, Koul K, Jandial A. Platelet count correlation: automated versus manual on peripheral smear. Indian J Pathol Oncol. 2019; 6(3):381-7.
Lawrence JB, Yomtovian RA, Dillman C, Masarik S, Chongkolwatana V, Creger RJ, et al. Reliability of automated platelet counts: comparison with manual method and utility for prediction of clinical bleeding. Am J Hematol. 1995; 48:244-50.
Geelani S, Rashid F, Shafi N, Nabi F, Wani I. Assessment of platelet count in normal Kashmiri population. Int J Res Med Sci. 2017;5(12):5319-22.
Jain DK. Comparison of platelet count by manual and automated method. Int J Res Med Sci. 2020;8(10):3523.