Clinical utility of Abbott Alinity hq extended red blood cell parameters in differentiating β‐thalassemia trait and iron deficiency anemia

Abstract

Introduction:The objective of the study was to evaluate the performance of the Abbott Alinity hq advanced multi angle polarized scatter separation (MAPSS TM )based optical RBC technology, for the differentiation between iron deficiency anemia (IDA) and β-thalassemia carrier status.Methods: Four hundred and sixty-four samples were analyzed. 228 were healthy controls, 30 were β-thalassemia carriers, and 40 were IDA. Receiver operating characteristics analysis evaluated the performance of red cell parameters and mathematical formulas.Results: RBC concentration was the most efficient discriminant (area under the curve; AUC of 0.963, Youden Index of 0.88) followed by red blood cell distribution width in size distribution (AUC of 0.960 and YI of 0.86), and red blood cell distribution width coefficient of variation (AUC of 0.924, and YI of 0.74). The absolute reticulocyte concentration showed good diagnostic efficiency, with AUC of 0.808. Hemoglobin distribution width, the %CV of directly measured cellular hemoglobin concentration, and CHCr, the average hemoglobin concentration of reticulocytes have emerged as novel discriminating parameters, with AUC of 0.749 and 0.785, respectively.The England and Fraser index was the best discriminating mathematical formula based on Youden Index of 0.91. The Ricerca, red blood cell distribution width index, Green and King, and Mentzner Index formulas also showed strong discriminative power. The Shine and Lal index, together with the recent mathematical formula M/H, (ratio of percent microcytic and hypochromic red blood cells) demonstrated moderate performance with AUC of 0.796 and 0.740, respectively. Conclusion:Extended red cell analysis delivered by the advanced optical technology on the Alinity hq hematology analyzer has efficient diagnostic utility in the initial discrimination of the two most common microcytic anemias: IDA and β-thalassemia trait.

Logistic‐Nomogram model based on red blood cell parameters to differentiate thalassemia trait and iron deficiency anemia in southern region of Fujian Province, China

“…For instance, a previous study suggests that the Mentzer index (MCV/RBC) is able to differentiate between patients with β‐TT and IDA with a sensitivity and specificity of 91% and 83%, respectively, in pregnant women 6 . Another study evaluated the capability of optical RBC technology for discriminating patients with β‐TT and IDA and revealed that the RBC concentration has the best discriminative value with an AUC of 0.963, followed by the RBC distribution width in the size distribution with an AUC of 0.960 and the RBC distribution width coefficient of variation with an AUC of 0.924 34 . Moreover, it has also been proposed that the RBC distribution width index (MCV/RBC × RBC distribution width) has better distinguishing ability between β‐TT and IDA than other parameters, including RBC count and RBC distribution width, in children from Iraq 35 .…”

“…6 Another study evaluated the capability of optical RBC technology for discriminating patients with β-TT and IDA and revealed that the RBC concentration has the best discriminative value with an AUC of 0.963, followed by the RBC distribution width in the size distribution with an AUC of 0.960 and the RBC distribution width coefficient of variation with an AUC of 0.924. 34 Moreover, it has also been proposed that the RBC distribution width index (MCV/RBC × RBC distribution width) has better distinguishing ability between β-TT and IDA than other parameters, including RBC count and RBC distribution width, in children from Iraq. 35 However, the conditions of TT and parameters of RBC According to previous studies, α-TT and β-TT are prevalent in Fujian Province.…”