Diagnostic performance of morphological analysis and red blood cell parameter-based algorithms in the routine laboratory screening of heterozygous haemoglobinopathies
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Germain Simon
, François Boemer
, Géraldine Luis
, André Gothot
, Françoise Tassin
Abstract
Objectives
The aim of this study was to carry out a cross-analysis of the morphological abnormalities (MA) and the electrophoretic profile (EP) of blood samples suspect for heterozygous haemoglobinopathies (HTZ HGP). Screening for HTZ HGP was based on erythrocyte parameters provided by the Sysmex XN analysers.
Methods
A total of 596,000 blood samples was included in the study. According to the results of the mean corpuscular haemoglobin concentration (MCHC), the percentage of microcytes (Micro%) and the standard deviation of the red blood cell distribution width (RDW-SD), 842 different adults were screened as suspect for HTZ HGP and underwent simultaneous morphological analysis of red blood cells (RBCMA) and haemoglobin fraction analysis.
Results
The majority (72.8 %) of HTZ HGP suspects presented a pathological EP, mostly compatible with a confirmed β-thalassaemia trait (50.1 %) or a heterozygous β-haemoglobin variant (12.2 %). MA were identified in 360 (42.8 %) samples and 70 (8.3 %) of these had 3 or more MA. The most common MA was poikilocytosis (28.1 %). Patients with at least 1 MA detected were more likely to have a pathological EP (p=0.003). However, correlation between the number of MA detected and the type of EP was negligible.
Conclusions
Screening for HTZ HGP based on erythrocyte parameters measured on Sysmex XN analysers is a relevant tool with a positive predictive value of 72.8 % and definitely superior to microscopic RBCMA which now appears to be of low added value and obsolete in this indication.
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Research ethics: The local Institutional Review Board deemed the study exempt from review.
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Informed consent: Not applicable.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: The data that support the findings of this study are available from the corresponding author upon reasonable request.
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Supplementary Material
This article contains supplementary material (https://doi.org/10.1515/cclm-2025-0210).
© 2025 Walter de Gruyter GmbH, Berlin/Boston
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- Review
- Understanding the circulating forms of cardiac troponin: insights for clinical practice
- Opinion Papers
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- IFCC recommendations for internal quality control practice: a missed opportunity
- Genetics and Molecular Diagnostics
- Evaluation of error detection and treatment recommendations in nucleic acid test reports using ChatGPT models
- General Clinical Chemistry and Laboratory Medicine
- Pre-analytical phase errors constitute the vast majority of errors in clinical laboratory testing
- Improving the efficiency of quality control in clinical laboratory with an integrated PBRTQC system based on patient risk
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- Prevalence and re-evaluation of macroprolactinemia in hyperprolactinemic patients: a retrospective study in the Turkish population
- Defining dried blood spot diameter: implications for measurement and specimen rejection rates
- Screening primary aldosteronism by plasma aldosterone-to-angiotensin II ratio
- Assessment of serum free light chain measurements in a large Chinese chronic kidney disease cohort: a multicenter real-world study
- Beyond the Hydrashift assay: the utility of isoelectric focusing for therapeutic antibody and paraprotein detection
- Direct screening and quantification of monoclonal immunoglobulins in serum using MALDI-TOF mass spectrometry without antibody enrichment
- Effect of long-term frozen storage on stability of kappa free light chain index
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