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Introduction: The diagnosis of rare forms of α-thalassemia requires laborious genetic analyses. Accurate sample selection for such evaluation is therefore essential. The main objectives of this study were to investigate the predictive power of red blood cell parameters to detect rare forms of α-thalassemia (substudy 1), and to explore the frequency of rare versus common forms of α-thalassemia in our sample population (substudy 2)., Methods: In substudy 1, we reviewed all blood samples selected for extended α-hemoglobinopathy evaluation at our laboratory during 2011-2020 (n = 1217), which included DNA sequencing and/or copy number variation analysis. We assessed α-thalassemia positive samples at different levels of mean corpuscular hemoglobin (MCH) alone and in combination with results for red blood cell count (RBC) or red cell distribution width (RDW). In substudy 2, we examined the distribution of α-thalassemia genotypes for all samples submitted to a first-tier hemoglobinopathy evaluation at our laboratory during 2014-2020 (n = 6495)., Results: In substudy 1, both RBC and RDW added predictive value in detecting rare forms of α-thalassemia in samples from adults and children. In adult samples with MCH ≤ 23 pg, the presence of erythrocytosis increased the detection rate from 27% to 74% as compared to non-erythrocytosis, while normal RDW increased the detection rate from 36% to 86% as compared to elevated RDW. In substudy 2, rare forms of α-thalassemia were detected in 12% of α-thalassemia positive samples., Conclusion: Initial assessment of MCH, RBC, and RDW provided valuable predictive information about the presence of rare forms of α-thalassemia during hemoglobinopathy evaluation., (© 2022 The Authors. International Journal of Laboratory Hematology published by John Wiley & Sons Ltd.)

Introduction: Stability for up to 6 days' storage of erythrocyte and reticulocyte parameters in samples from iron-deficient and thalassemic individuals has not yet been reported. This lack of knowledge challenges evaluation of the full blood count in referral samples for hemoglobinopathy evaluation. We therefore hereby present such sample stability data., Methods: We included fresh (less than 4 hours old) blood samples from eight healthy, eight iron-deficient, and 11 thalassemic individuals. A full blood count, including reticulocyte parameters, was performed on a Sysmex XE-2100 once daily during a 6-day storage period at room temperature. For healthy individuals, we also studied stability of refrigerated samples and investigated analytical and biological variation., Results: Hemoglobin concentration, erythrocyte count, and mean corpuscular hemoglobin were stable for 6 days in all diagnostic groups. Mean corpuscular volume increased less in samples from iron-deficient individuals while the number of reticulocytes increased more in samples from thalassemic, as compared to healthy individuals. Ret-He stability depended on its baseline value. Within-person biological variation in samples from healthy individuals was low both for erythrocyte parameters and for reticulocyte hemoglobin, while higher for reticulocyte counts., Conclusion: Results for hemoglobin concentration, erythrocyte count, and mean corpuscular hemoglobin are reliable in hemoglobinopathy investigation of referred samples for up to 6 days. Storage time-dependent changes of other erythrocyte and reticulocyte parameters in blood samples from iron-deficient and thalassemic individuals differ from those of healthy individuals.