Varaprasad KG, Subhashree J, Jhansi S, S. Reddi Hari Kumar, S M Venugopal

CORRELATION OF AUTOMATED CELL COUNTER RBC HISTOGRAMS AND RBC INDICES WITH PERIPHERAL SMEAR IN DIAGNOSIS OF ANEMIA.

  • General Medicine
  • General Earth and Planetary Sciences
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  • Ocean Engineering
  • General Medicine
  • General Medicine
  • General Medicine
  • General Medicine
  • General Earth and Planetary Sciences
  • General Environmental Science
  • General Medicine
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Background: Anemia's morphological alterations can be inferred from red blood cell (RBC) indices and the histogram produced by an automated analyzer. They can be utilized to determine the cause of anemia in addition to the peripheral smear. Objective: The current study aimed to improve the method for diagnosing anemia by correlating the typing of anemia based on RBC indices and histograms acquired from an automated analyzer with peripheral smear testing. 184 anemic patients had blood samples taken, and the blood samples Materials and Method: were rst typed for anemia using parameters from a haematology analyzer (RBC indices with red cell distribution width), and then the results of a peripheral blood smear. The signicance of the mean difference in various parameters was determined by analyzing the connection between the diagnosis made by peripheral smear vs RBC indices and histogram. Based on a Results: peripheral smear test, the most common type of anemia was microcytic hypochromic (63%) followed by normocytic normochromic (35.9%) and macrocytic (1.1%). 62%, 37%, 1.1%, and microcytic hypochromic, normocytic normochromic and macrocytic respectively, were shown by RBC indices analysis. 114 of the 116 (63%) instances of microcytic hypochromic anemia on smears showed a left shift, and the other two cases displayed a normal curve. Sixty-six cases of normocytic normochromic anemia showed a normal curve. In two examples of macrocytic anemia, histograms exhibit a shift to the right. Conclusion: Although RBC and histogram indices provide useful information, peripheral smear testing is still the most crucial diagnostic method for haematological diseases.

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