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Diagnostic accuracy of reticulocyte parameters on the sysmex XN 1000 for discriminating iron deficiency anaemia and thalassaemia in Saudi Arabia

机译:Sysmex XN 1000对Saudi Arabia辨别缺铁性贫血和中西血症的诊断准确性

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摘要

Introduction: Iron deficient erythropoiesis and Thalassaemia are both associated with microcytic erythropoiesis albeit from different pathological mechanisms. Given the high prevalence of Hemoglobinopathies in the Mediterranean region, discriminating these two conditions is important. Several algorithms using conventional red cell indices have been developed to facilitate diagnosis, however, their diagnostic accuracy is low. The new generation haematology analyzers enabled the use of more innovative parameters such as reticulocyte parameters. We aimed to evaluate the diagnostic performance of the reticulocyte parameters on the Sysmex XN 1000 to distinguish between IDA and Thalassemia in our population. Methods: We performed a retrospective analysis of blood samples sent to our laboratory for haemoglobin electrophoresis screening. We categorized our cohort into Thalassemia and Iron Deficient patients based on known diagnostic criteria. We analyzed the reticulocyte parameters using receiver operator curve analysis (ROC) and determined the cut off value for each parameter. Results: Reticulocyte parameters most accurate for discriminating IDA from Thalassemia patients was: RET, RET-HE and IRF. The RET-HE had the best statistical significance for IDA patients with AUC = 0.69 for cut off 22.25. The RET-HE for dual positive patients was more accurate with AUC = 0.78 for cut off 21.25. The IRF had the best statistical significance for Alpha Thalassemia with AUC = 0.66 for cut off value 18. Conclusion: An IRF cut off below 15.5 and RET-HE cut off below 22.25 was the most accurate variable in predicting IDA with a sensitivity of 59.4% and 68.3%.
机译:介绍:铁缺乏促红细胞和中等血症既与不同的病理机制虽然与微细红细胞生成。鉴于地中海地区血红蛋白病的高患病率,鉴别这两个条件很重要。已经开发了使用传统红细胞索引的几种算法以促进诊断,然而,它们的诊断精度低。新一代血液学分析仪使得能够使用更多的创新参数,例如网状细胞参数。我们的旨在评估网XN 1000对Sysmex XN 1000的诊断性能,区分我们人群的IDA和地中海贫血。方法:我们对血红蛋白电泳筛选的血液样品进行了回顾性分析,送到了我们的血红蛋白电泳筛选。我们将群组分类为基于已知的诊断标准的地中海贫血和铁缺乏患者。我们使用接收器操作员曲线分析(ROC)分析了网状细胞参数,并确定了每个参数的切断值。结果:网状细胞参数最准确地辨别伊达斯血症患者的IDA是:RET,RET-HE和IRF。 RET-HE对IDA = 0.69的IDA患者进行了最佳统计学意义,用于切断22.25。对于双阳性患者的RET-HE更准确,AUC = 0.78切断21.25。 IRF对AUC = 0.66的α个子血症具有最佳统计学意义,用于截止值18.结论:在下面15.5和RET-HE OFF以下的IRF切断,在22.25以下是预测IDA的最精确变量,敏感性为59.4%和68.3%。

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