Tangvarasittichai Orathai, Poonanan Nares, Tangvarasittichai Surapon
Chronic Diseases Research Unit, Department of Medical Technology, Faculty of Allied Health Sciences, Naresuan University, Phitsanulok, 65000 Thailand.
Indian J Clin Biochem. 2017 Mar;32(1):61-67. doi: 10.1007/s12291-016-0574-9. Epub 2016 May 9.
Primary screening for thalassemia carriers usually involves an accurate blood count using an automated blood cell analyzer. We analyzed the red cell and reticulocyte parameters from 200 samples of various types of thalassemias and identified the discrimination criteria for differential diagnosis. These were separated into four groups based on genotypes. These groups included α-thalassemia, β-thalassemia, β-thalassemia with Hb E and Hb E trait, which are the important target of thalassemia screening. To compare the effectiveness of the screening strategies, seven selected screening tools were compared, including MCV alone (cutoff <80 fL); MRV alone (cutoff <100 fL); SD-C-NR alone (cutoff >28.5); a combined MCV and MRV; a combined MCV and SD-C-NR; a combined MRV and SD-C-NR; and a combined MCV, MRV and SD-C-NR. The combination of MCV, MRV and SD-C-NR has highest sensitivity for discrimination in all thalassemia, β-thalassemia, α-thalassemia, Homozygous Hb E and Hb E trait groups as 99.5, 100, 98, 100 and 100 %, respectively. The effectiveness of the combination of MCV, MRV and SD-C-NR parameters in the present study was determined as the faster and higher sensitivity screening tool than the other methods, including simple, reliable, cost-effective, and using only one automated hematology analyzer, saving labor costs.
地中海贫血携带者的初筛通常使用自动血细胞分析仪进行精确的血细胞计数。我们分析了200份各类地中海贫血样本的红细胞和网织红细胞参数,并确定了鉴别诊断的判别标准。这些样本根据基因型分为四组。这些组包括α地中海贫血、β地中海贫血、伴有血红蛋白E(Hb E)的β地中海贫血和Hb E性状,它们是地中海贫血筛查的重要目标。为了比较筛查策略的有效性,我们比较了七种选定的筛查工具,包括单独的平均红细胞体积(MCV,临界值<80 fL);单独的平均网织红细胞体积(MRV,临界值<100 fL);单独的红细胞体积分布宽度与网织红细胞计数比值(SD-C-NR,临界值>28.5);MCV和MRV联合;MCV和SD-C-NR联合;MRV和SD-C-NR联合;以及MCV、MRV和SD-C-NR联合。在所有地中海贫血、β地中海贫血、α地中海贫血、纯合子Hb E和Hb E性状组中,MCV、MRV和SD-C-NR联合的鉴别敏感性最高,分别为99.5%、100%、98%、100%和100%。本研究中MCV、MRV和SD-C-NR参数联合的有效性被确定为一种比其他方法更快且敏感性更高的筛查工具,具有简单、可靠、成本效益高的特点,并且仅使用一台自动血液分析仪,节省了劳动力成本。