Automated Morphologic Differentiation Between Iron Deficiency Anemia and Thalassemia
- PMID: 40898872
- PMCID: PMC12514970
- DOI: 10.1002/jcla.70097
Automated Morphologic Differentiation Between Iron Deficiency Anemia and Thalassemia
Abstract
Background: Iron deficiency anemia (IDA) and hemoglobinopathies (HbP) are two frequent conditions characterized by microcytemia. Published criteria/scores discriminating these conditions with hematology analyzer parameters are not fully satisfactory. Although patients with HbP have been reported to have more red blood cells (RBC) with a target cell (TC) morphology than patients with IDA, obtaining TC percentages remains a time-consuming task since at least 1000 RBC must be examined.
Methods: Using the Mindray CAL 8000 2.0 0111 and MC-80 module, 152 microcytic samples from 51 patients with IDA and 101 with HbP were analyzed. Data from RBC parameters used in published scores were collected, as well as the percentages of target cells automatically provided by the MC-80.
Results: Patients with IDA had significantly lower median hemoglobin level, red blood cell numbers, and mean corpuscular hemoglobin concentration than those with HbP, yet had more microcytes. Using TC percentages provided by the MC-80 module, receiving operator characteristic curves identified this parameter as the most discriminant to segregate patients with IDA or HbP. With a 0.4% threshold, this yielded a 74.2% sensitivity and 86.3% specificity, confirming that patients with HbP have significantly higher TC percentages.
Conclusion: The automated identification and enumeration of abnormal RBC performed by Mindray MC-80 rapidly provides TC percentages, allowing for a fast discrimination between IDA and HbP in samples with microcytosis, orienting early towards confirmatory tests for these disorders. Moreover, this study confirms TC, which can obviously be obtained through other methods, as a robust parameter in this context.
Keywords: AI‐aided morphology; red blood cells; target cells.
© 2025 The Author(s). Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC.
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References
-
- “WHO,” (2020), https://www.who.int/publications/i/item/9789240000124.
-
- Koury M. J., “Abnormal Erythropoiesis and the Pathophysiology of Chronic Anemia,” Blood Reviews 28 (2014): 49–66. - PubMed
-
- Rao E., Kumar Chandraker S., Misha Singh M., and Kumar R., “Global Distribution of β‐Thalassemia Mutations: An Update,” Gene 896 (2024): 148022. - PubMed
-
- Salinas M., López‐Garrigós M., Flores E., Uris J., Leiva‐Salinas C., and Pilot Group of Appropriate Utilization of Laboratory Tests (REDCONLAB) working group , “Potential Over Request in Anemia Laboratory Tests in Primary Care in Spain,” Hematology 20 (2015): 368–373. - PubMed
-
- Hoffmann J. J., Urrechaga E., and Aguirre U., “Discriminant Indices for Distinguishing Thalassemia and Iron Deficiency in Patients With Microcytic Anemia: A Meta‐Analysis,” Clinical Chemistry and Laboratory Medicine 53 (2015): 1883–1894. - PubMed
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