Friday, 6 May 2022

Red Blood Cell Histogram and Indices Obtained through Automated Hematology Analyzer and Comparing it with Manual Blood Film Examination | Chapter 10 | New Horizons in Medicine and Medical Research Vol. 7

 Background: Using an automated haematology analyzer in a haematology laboratory is now both a routine and a critical requirement. Anemia is a widespread ailment all over the world, and there is an increasing need to diagnose and treat it because it can have a variety of long-term effects.

The goal of this study was to evaluate the sensitivity of the red blood cell histogram and indices obtained with an automated haematology analyzer to manual blood film assessment in anaemia patients.

This observational cross-sectional study was carried out in the Central Hematology Laboratory of the Pathology Department in a tertiary care centre in Gujarat. The study comprised thirty patients with anaemia who visited numerous departments for varied reasons. Demographic information and laboratory data were collected. The analysis was carried out using Epi Info software. The study included a total of 130 patients who met the WHO anaemia diagnostic criteria. In our study, the histogram's sensitivity was found to be 87.6 percent. The red blood cell histogram and indices for microcytic hypochormic anaemia have 94.2 percent sensitivity and 63.1 percent specificity, respectively. The red blood cell histogram and indices for normocytic anaemia had 96.7 percent sensitivity and 49.1 percent specificity, respectively. The red blood cell histogram and indices for macrocytic anaemia have sensitivity and specificity of 98.2 percent and 90.3 percent, respectively.

Conclusion: While red blood cell histograms and indices on automated haematology analyzers are useful for initial screening and providing an overall picture of the type of anaemia, manual blood film examination remains the gold standard test for final diagnosis and confirmation.

Author(S) Details

Trupti R. Jansari
Department of Pathology, Sumandeep Vidyapeeth, Piparia, Vadodara, India.

Jigna P. Patel
Department of Pathology, Sumandeep Vidyapeeth, Piparia, Vadodara, India.

Amit P. Chauhan
Department of Anaesthesiology, Sumandeep Vidyapeeth, Piparia, Vadodara, India.

Jasmin Jasani
Department of Pathology, Sumandeep Vidyapeeth, Piparia, Vadodara, India.

View Book:- https://stm.bookpi.org/NHMMR-V7/article/view/6668

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