Clinical Chemistry Laboratory, Catalan Institute of Health (ICS)-Camp de Tarragona-Terres de l'Ebre, Joan XXIII University Hospital in Tarragona, Spain.
Clinical Chemistry Laboratory, Catalan Institute of Health (ICS)-Camp de Tarragona-Terres de l'Ebre, Joan XXIII University Hospital in Tarragona, Spain.
Clin Chim Acta. 2020 Aug;507:69-74. doi: 10.1016/j.cca.2020.04.017. Epub 2020 Apr 17.
Several studies have stablished discriminant formulas (DF) from red blood cell (RBC) data as simple, low time-consuming and inexpensive tools to differentiate β-thalassemia trait (β-TT) from iron deficiency anaemia (IDA). The aim of this work is to introduce new formulas and evaluate them in the differentiation of microcytic anaemia (MA) into either β-TT or IDA in the Mediterranean region of Tarragona. A total of 200 anonymized haematological determinations with MA were collected, 100 diagnosed of β-TT and 100 diagnosed of IDA. The cut-off values of new formulas were designed to differentiate β-TT from IDA groups and their diagnostic performance were compared with other published indices. Specifically, Martín-Sánchez index (MSI-I) = (%Micro-R/MCV) * MCHC * Hb and MSI-II = Hb * (MCHC + %Micro-R)/10. In addition, a new score: MSI-score = MCHC + MSI-I + MSI-II was proposed and evaluated in a transversal study with 200 patients. In our region, MSI-II index and MSI-score have demonstrated the best AUC and Youden's index (YI) (AUC = 0.956, YI = 81%; AUC = 0.971, YI = 87%, respectively) to discriminate β-TT from IDA groups. In summary, the new MSI-score with the highest AUC, the highest YI and the best percentage (93.5%) of correctly identified patients could be used as an efficient and robust tool in microcytic anaemia mass-screening programs in this region.
已有多项研究利用红细胞(RBC)数据建立了判别公式(DF),将其作为一种简单、耗时短且经济的方法,用于区分β-地中海贫血(β-TT)和缺铁性贫血(IDA)。本研究旨在引入新的公式,并在区分地中海地区塔拉戈纳的小细胞性贫血(MA)为β-TT 或 IDA 方面进行评估。共收集了 200 例匿名血液学 MA 测定值,其中 100 例诊断为β-TT,100 例诊断为 IDA。新公式的截断值用于区分β-TT 和 IDA 组,并与其他已发表的指标进行了比较。具体而言,马丁-桑切斯指数(MSI-I)=(%Micro-R/MCV)MCHCHb 和 MSI-II=Hb*(MCHC+%Micro-R)/10。此外,还提出并评估了一种新的评分:MSI-score=MCHC+MSI-I+MSI-II,在一项 200 例患者的横断面研究中进行了评估。在本地区,MSI-II 指数和 MSI-score 在区分β-TT 和 IDA 组方面表现出最佳的 AUC 和 Youden 指数(YI)(AUC=0.956,YI=81%;AUC=0.971,YI=87%)。总之,新的 MSI-score 具有最高的 AUC、最高的 YI 和最高的正确识别患者百分比(93.5%),可作为本地区微细胞性贫血大规模筛查计划中的有效且可靠的工具。