Comparison Of Microhematocrit Methods (commercial Versus Window Clay Sealant) And Automated Hematology Analyzer (sysmex Xt-4000i) For Determination Of Hematocrit And Mean Cell Volume (mcv) At Tikur Anbessa Specialized Hospita

Background: Due to several sources of imprecision and inaccuracy of HCT and RBC Indices measurement in manual and automated methods difference in values may impact the clinical decision. Therefore, it would be essential to compare the three methods.rnObjective: To compare of Microhematocrit (Manual) Methods and Automated Hematology Analyzer (Sysmex XT-4000i) for determination of Hematocrit and Mean Cell Volume at Tikur Anbessa Specialized Hospital, Addis Ababa.rnMethod: A hospital based comparative cross-sectional study was conducted in Tikur Anbessa Specialized Hospital (TASH) from January to March 2019 on 240 left over blood samples for Complete Blood Count (CBC) analysis. Hematocrit and MCV were determined Microhematocrit (Manual) using commercial and window clay sealant and Sysmex XT-4000i automated methods. The data obtained from the three methods were entered and analyzed using Statistical Package for SPSS version 23 software for windows. Standard deviation and mean were determined and Independent Student t-test was used to compare mean difference between the three methods on p-value of 0.05. Additionally, precision, correlation coefficient and Bland Altman plot were used to assess correlation and agreement between the tests. Also figures and tables were used for the description of the data.rnResult: The mean ±SD for three methods as follow as: HCT values were 40.9±14.91, 40.1±14.84 and 40.3±14.98 for automated, manual methods using commercial sealant and window clay respectively, MCV values were 85.7±9.18, 83.7±10.6 and 83.9±10.12 for automated, manual methods using commercial sealant and window clay respectively. There was no statistically significant difference between the automated and both manual methods (p>0.05) for the mean values of HCT. There was statistically significant difference in the mean values of MCV between automated and both manual methods (p

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