Evidence map›Paper›PMID 40898872›Full record

ArticleJournal of clinical laboratory analysis2025

Automated Morphologic Differentiation Between Iron Deficiency Anemia and Thalassemia.

Julien Guy, Marie-C Béné, Ramon Simon Lopez, Marc Maynadié, Céline Row

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Article in Journal of clinical laboratory analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Julien GuyHematology Biology, Dijon University Hospital, Dijon, France.ORCID https://orcid.org/0000-0003-3594-1882
Marie-C BénéHematology, Nantes University, Nantes, France.
Ramon Simon LopezMindray, Scientific Research, Zug, Switzerland.
Marc MaynadiéHematology Biology, Dijon University Hospital, Dijon, France.
Céline RowHematology Biology, Dijon University Hospital, Dijon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIron 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.

methodsUsing 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.

resultsPatients 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.

conclusionThe 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.

Indexed as

Anemia, Iron-DeficiencyThalassemiaAdultDiagnosis, DifferentialErythrocyte CountErythrocyte IndicesErythrocytesErythrocytes, AbnormalFemaleHumansMaleMiddle AgedROC CurveYoung AdultAI‐aided morphologyred blood cellstarget cells

Identifiers

PMID40898872
PMCPMC12514970

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