Sedick Qanita, Elyamany Ghaleb, Hawsawi Huda, Alotaibi Sultan, Alabbas Fahad, Almohammadi Mohammed, Alahmari Hassan A, Aljasem Hassan, Ferrer Arnel G, Alzahrani Ahmed S, AlMoshary May, Alsuhaibani Omar
Central Military Laboratory and Blood Bank, Prince Sultan Military Medical City Riyadh, Kingdom of Saudi Arabia.
Department of Adult Hematology, Prince Sultan Military Medical City Riyadh, Kingdom of Saudi Arabia.
Am J Blood Res. 2021 Apr 15;11(2):172-179. eCollection 2021.
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.
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.
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.
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%.
缺铁性红细胞生成和地中海贫血均与小细胞性红细胞生成有关,尽管其病理机制不同。鉴于地中海地区血红蛋白病的高发病率,区分这两种情况很重要。已经开发了几种使用传统红细胞指数的算法来辅助诊断,然而,它们的诊断准确性较低。新一代血液分析仪能够使用更具创新性的参数,如网织红细胞参数。我们旨在评估Sysmex XN 1000上的网织红细胞参数在区分我们人群中的缺铁性贫血(IDA)和地中海贫血方面的诊断性能。
我们对送往我们实验室进行血红蛋白电泳筛查的血样进行了回顾性分析。我们根据已知的诊断标准将我们的队列分为地中海贫血患者和缺铁患者。我们使用受试者工作特征曲线分析(ROC)分析网织红细胞参数,并确定每个参数的临界值。
区分IDA患者和地中海贫血患者最准确的网织红细胞参数是:网织红细胞计数(RET)、高荧光强度网织红细胞(RET-HE)和未成熟网织红细胞比率(IRF)。RET-HE对IDA患者具有最佳统计学意义,截断值为22.25时曲线下面积(AUC)=0.69。对于双重阳性患者,RET-HE更准确,截断值为21.25时AUC = 0.78。IRF对α地中海贫血具有最佳统计学意义,截断值为18时AUC = 0.66。
IRF截断值低于15.5和RET-HE截断值低于22.25是预测IDA最准确的变量,敏感性分别为59.4%和68.3%。