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应用红细胞指数和公式组合鉴别泰国人群中β地中海贫血特征与缺铁性贫血的评估

Evaluation of Applying a Combination of Red Cell Indexes and Formulas to Differentiate β-Thalassemia Trait from Iron Deficiency Anemia in the Thai Population.

作者信息

Pornprasert Sakorn, Thongsat Choosak, Panyachadporn Uraiporn

机构信息

a Division of Clinical Microscopy, Department of Medical Technology, Faculty of Associated Medical Sciences , Chiang Mai University , Chiang Mai , Thailand.

b Associated Medical Sciences Clinical Service Center, Department of Medical Technology, Faculty of Associated Medical Sciences , Chiang Mai University , Chiang Mai , Thailand.

出版信息

Hemoglobin. 2017 Mar;41(2):116-119. doi: 10.1080/03630269.2017.1323763. Epub 2017 Jun 9.

Abstract

Red cell indexes and formulas have been established as simple, fast, and inexpensive tools to differentiate β-thalassemia (β-thal) trait from iron deficiency anemia. However, none of them showed 100.0% sensitivity and specificity. Moreover, one index may show greater sensitivity and specificity in one population but is ineffective in another population. This study evaluated the diagnostic reliability of a combination of two red cell indexes [red blood cell (RBC) and red blood cell distribution width (RDW)] and nine formulas called '11T score' for differentiation of β-thal trait and iron deficiency anemia in the Thai population. A total of 103 cases, 67 β-thal trait and 36 iron deficiency anemia, Thai subjects with microcytic hypochromic anemia [mean corpuscular volume (MCV) <80.0 fL and mean corpuscular hemoglobin (Hb) (MCH) <27.0 pg] were involved in this retrospective study. The results showed that the 11T score with a cutoff value of 7 was able to discriminate between β-thal trait and iron deficiency anemia with sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and efficiency (EFF) higher than 70.0%. It also had 85.4% of correctly identified cases and the highest value of Youden's Index (YI) (73.8%) when compared to the 11T score with other cutoff values (5, 6, 8 and 9) and other indexes. Thus, the 11T score with the cutoff value of 7 could be used to differentiate β-thal trait from iron deficiency anemia in the Thai population.

摘要

红细胞指数和公式已被确立为区分β地中海贫血(β-地贫)特征与缺铁性贫血的简单、快速且经济的工具。然而,它们均未显示出100.0%的敏感性和特异性。此外,一个指数在某一人群中可能显示出更高的敏感性和特异性,但在另一人群中却无效。本研究评估了两种红细胞指数[红细胞(RBC)和红细胞分布宽度(RDW)]的组合以及九种称为“11T评分”的公式在泰国人群中区分β-地贫特征和缺铁性贫血的诊断可靠性。共有103例小细胞低色素性贫血[平均红细胞体积(MCV)<80.0 fL且平均红细胞血红蛋白(Hb)(MCH)<27.0 pg]的泰国受试者参与了这项回顾性研究,其中67例为β-地贫特征,36例为缺铁性贫血。结果显示,截断值为7的11T评分能够区分β-地贫特征和缺铁性贫血,其敏感性、特异性、阳性预测值(PPV)、阴性预测值(NPV)和效率(EFF)均高于70.0%。与截断值为5、6、8和9的11T评分以及其他指数相比,它还具有85.4%的正确识别病例数以及最高的约登指数(YI)(73.8%)。因此,截断值为7的11T评分可用于区分泰国人群中的β-地贫特征和缺铁性贫血。

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