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首页> 外文期刊>Journal of Laboratory Physicians >The role of discriminant functions in screening beta thalassemia trait and iron deficiency anemia among laboratory samples
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The role of discriminant functions in screening beta thalassemia trait and iron deficiency anemia among laboratory samples

机译:判别函数在筛选实验室样本中的β地中海贫血性格和铁缺乏性贫血中的作用

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INTRODUCTION: Most important differential diagnosis for microcytosis and hypochromia is beta thalassemia trait (BTT) and iron deficiency anemia. AIM: To study the utility of discriminant functions (DFs) and red cell indices in distinguishing BTT and iron deficiency anemia. METHODS: The study is observational (cross sectional). A total of 350 patients, 43 BTT, and 307 iron-deficiency anemia reflecting actual disease prevalence were included. Their complete red blood cell parameters, hemoglobin A2, and serum ferritin level wherever required were obtained. Receiver operator characteristic curve was drawn for each DF and results compared with other studies. RESULTS: Among the six DFs, the highest sensitivity (97.7%) and specificity (98.6%) was shown, respectively, by Shine and Lal (S and L) and England and Fraser index (E and F) in identifying cases of BTT. Youden index of the Mentzer index (MI) was the highest (69.0) and S and L, the lowest (13.2) indicating MI to be the most efficient and the S and L, the least in differentiating the two entities. Red cell distribution width index (RDWI) showed the highest accuracy (91.6%), whereas S and L showed the least accuracy (29.6%). CONCLUSION: MI was the most efficient in discriminating BTT from iron deficiency anemia (IDA). RDWI stands to be the most accurate. S and L could at best be used as screening tool rather than DF. No study except one agreed with us because convenient sampling used in other studies generated bias in their results. Statistically, this study bears far more relevance than other studies because the sample distribution reflects the prevalence of IDA and BTT in the community.
机译:引言:对于微细胞增多症和低色素血症,最重要的鉴别诊断是β地中海贫血特征(BTT)和铁缺乏性贫血。目的:研究判别函数(DF)和红细胞指数在区分BTT和铁缺乏性贫血中的作用。方法:本研究是观察性的(横断面)。包括总共350例患者,43例BTT和307例反映实际疾病患病率的缺铁性贫血。无论需要什么,都可以获得其完整的红细胞参数,血红蛋白A2和血清铁蛋白水平。绘制了每个DF的接收者操作员特征曲线,并将结果与​​其他研究进行了比较。结果:在确定BTT病例中,Shine和Lal(S和L)以及England和Fraser指数(E和F)分别显示了六个DF中的最高灵敏度(97.7%)和特异性(98.6%)。 Mentzer指数(MI)的Youden指数最高(69.0),S和L,最低(13.2),表明在区分这两个实体方面,MI效率最高,而S和L最低。红细胞分布宽度指数(RDWI)的准确性最高(91.6%),而S和L的准确性最低(29.6%)。结论:心肌梗死是鉴别BTT和缺铁性贫血(IDA)的最有效方法。 RDWI是最准确的。 S和L最多可以用作筛选工具,而不是DF。除一项研究外,没有其他研究与我们达成共识,因为在其他研究中使用方便的样本会导致其结果产生偏差。从统计学上讲,该研究比其他研究具有更大的相关性,因为样本分布反映了社区中IDA和BTT的普遍性。

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