Article:
Types of anemia in pediatric oncology and non-oncology patients: insights from coulter diagnosis and peripheral blood smear analysis at a tertiary children’s hospital, Kathmandu

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Abstract: Anemia is a significant health burden for pediatric patients, particularly those undergoing cancer treatment in resource-limited settings like Nepal. This study evaluated the diagnostic performance of automated hematology systems by Coulter against manual peripheral blood smear (PBS) analysis for classifying anemia types in a pediatric population. A total of 454 pediatric patients were included, comprising 274 oncology (60.4%) and 180 non-oncology (39.6%) cases. The overall mean hemoglobin was 10.76 ± 2.11 g/dL, with moderate anemia (7.0–9.9 g/dL) being the most prevalent category (118 patients). Anemia severity was concentrated in the non-oncology group (95 of 118 moderate; 19 of 20 severe), while oncology patients predominantly had normal hemoglobin (125 cases). Significant differences in red cell indices were observed: oncology patients had higher mean MCV (8.7 fL higher, p <0.001) and MCH (2.6 pg higher, p <0.001) compared to non-oncology patients. A highly significant association was found between anemia type and clinical status (χ² = 207.012, p <0.001). Normocytic profiles (normocytic normochromic anemia, NNA / normocytic normochromic picture, NNP) dominated the oncology group (51.7% NNP), consistent with anemia of chronic disease. In contrast, microcytic hypochromic anemia (MHA) was more common in the non-oncology group, consistent with iron deficiency. The automated Coulter diagnosis showed a strong agreement with manual PBS findings (r = 0.970, χ² = 922.47, p <0.001). In contrast, MHA was significantly more prevalent in the non-oncology group, suggesting iron deficiency. Given the strong agreement between the systems, the automated Coulter diagnosis serves as a reliable initial screening tool for anemia classification, but PBS confirmation remains essential to differentiate anemia types and guide effective clinical management in developing country laboratories.
Keywords
Anemia, Automated hematology analyzer, Pediatric oncology, Peripheral blood smear, Resource-limited settings

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