1. Correlation of Peripheral Smear with RBC Indices and RBC Histogram in the Diagnosis of Anemia.
- Author
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Un Nisa, Rahat, Sharma, Sindhu, and Naz, Navneet
- Subjects
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ERYTHROCYTES , *MORPHOLOGY , *ANEMIA , *HEMATOLOGY ,DEVELOPED countries - Abstract
Background: Anemia, a widespread global health issue, poses significant challenges in both developing and developed countries. Accurate diagnosis and classification of anemia are crucial for effective management and treatment. This study explores the correlation between automated hematology analyzers and peripheral blood film (PBF) examination in classifying anemia types. Methods: A cross-sectional study was conducted on 200 consecutive anemic patients. EDTA-anticoagulated blood samples were analyzed using the HORIBA Pentra DX Nexus automated hematology analyzer and examined manually via PBF. Key parameters including mean corpuscular volume (MCV), mean corpuscular hemoglobin concentration (MCHC), and red cell distribution width (RDW) were assessed. Concordance between automated results and PBF findings was analyzed using the kappa statistic. Results: Normocytic normochromic anemia with normal RDW was the most common, observed in 39% of both RBC indices and PBF findings. Normocytic hypochromic anemia was identified in 5% of the indices and 6% of PBF cases. Microcytic hypochromic anemia was consistent across both methods, seen in 30% of cases. Macrocytic anemia was noted in 12% of both indices and PBF results. Dimorphic anemia was exclusively identified by PBF in 13% of cases, with no corresponding findings from the analyser. The study found an 86% agreement rate between automated and manual methods, with a kappa value of 0.721, indicating substantial correlation. PBF identified 13 cases of dimorphic anemia not detected by the analyzer. These findings highlight the complementary value of PBF in diagnosing complex anemia types. Conclusion: Both automated analyzers and PBF are essential for comprehensive anemia diagnosis. While automated methods provide efficient routine classification, PBF remains vital for detecting complex anemia types. The integration of both approaches ensures accurate and thorough evaluation of anemia. [ABSTRACT FROM AUTHOR]
- Published
- 2024