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1.
J Clin Lab Anal ; 36(4): e24218, 2022 Apr.
Article in English | MEDLINE | ID: mdl-35274768

ABSTRACT

BACKGROUND: Impedance technology has been shown to overestimate platelet (PLT) count in samples with microcytes, while the optical-fluorescence PLT count (PLT-F) by Sysmex has been suggested to be unaffected by microcytosis. The Abbott Alinity hq analyzer employs multi-dimensional optical PLT counting. Our goal was to assess the accuracy of this technology in microcytic samples. METHODS: Platelet measurements were performed by Alinity hq and the impedance (PLT-I) and PLT-F methods on a Sysmex XN-3000 analyzer on 464 samples. PLT concentration range was 6.56-947 × 109 /L and mean cell volume (MCV) 40.9-123.0 fL. Samples were categorized into normocytic (MCV > 80 fL), microcytic (MCV 65-80 fL), and severely microcytic (MCV < 65 fL) groups. RESULTS: Alinity hq PLT count showed excellent agreement with PLT-F (r = 1.00). Sysmex PLT-I data showed somewhat weaker correlation with both PLT-F and Alinity hq (r = 0.98). Increasing bias between Sysmex PLT-I and PLT-F was seen with decreasing MCV values, with mean bias of 35.2 × 109 /L in severe microcytosis. An inverse relationship was demonstrated between the PLT-I versus PLT-F bias and MCV (p < 0.0001). Consistent mean bias was observed between Alinity hq and PLT-F across all MCV ranges. Mean platelet volume was suppressed or flagged by Sysmex XN in 50% of the samples in the severely microcytic group, and markedly higher red cell distribution width (RDW) was reported compared to Alinity hq (18.1% vs 13.7%, p < 0.0001). CONCLUSION: The Sysmex PLT-I method overestimated the PLT count in samples with severe microcytosis. Alinity hq provided PLT counts and PLT and RBC indices that were not impacted by microcytosis.


Subject(s)
Blood Platelets , Erythrocyte Indices , Erythrocyte Count , Humans , Platelet Count , Reproducibility of Results
2.
Int J Lab Hematol ; 43(6): 1635-1643, 2021 Dec.
Article in English | MEDLINE | ID: mdl-34337874

ABSTRACT

INTRODUCTION: The objective of the study was to evaluate the performance of the Abbott Alinity hq advanced multi angle polarized scatter separation (MAPSSTM )-based optical RBC technology, for the differentiation between iron deficiency anemia (IDA) and ß-thalassemia carrier status. METHODS: Four hundred and sixty-four samples were analyzed. 228 were healthy controls, 30 were ß-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 ß-thalassemia trait.


Subject(s)
Anemia, Iron-Deficiency/blood , Anemia, Iron-Deficiency/diagnosis , Cell Separation/methods , Diagnostic Tests, Routine/methods , Erythrocyte Indices , beta-Thalassemia/blood , beta-Thalassemia/diagnosis , Anemia, Iron-Deficiency/etiology , Case-Control Studies , Cell Separation/instrumentation , Diagnosis, Differential , Diagnostic Tests, Routine/instrumentation , Diagnostic Tests, Routine/standards , Erythrocytes/cytology , Erythrocytes/metabolism , Humans , ROC Curve , beta-Thalassemia/etiology
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