Jiménez C V
Laboratori d'Anàlisis Clíniques, Centre d'Assistència Primaria Santa Coloma, Barcelona, Spain.
Clin Chem. 1993 Nov;39(11 Pt 1):2271-5.
The diagnostic value of common hematology tests in differentiating between thalassemia trait and iron-deficiency anemia (IDA) was assessed. Serum iron concentration was included in a second stage of the diagnostic model and its predictive contribution was determined. After applying discriminant analysis to the data, minimization of Wilks's lambda (lambda) criterion was used to select the best predictive variables. A training sample of 754 subjects previously classified as either IDA (428) or thalassemia trait (326) was used to determine the classification rule. When serum iron concentrations were included, the model showed a higher predictive capacity than that constructed from hematological variables only (D = 2.342 RBC - 0.079 Hb + 3.627 log[Fe] - 6.459, where D = discriminant score). The sensitivity, specificity, and diagnostic efficiency associated with this model, as assessed on a control sample of 256 patients (137 thalassemia and 119 IDA), were 94.2%, 91.6%, and 93.0%, respectively. This model, when compared with those of other authors, has the highest diagnostic efficiency.
评估了常见血液学检查在鉴别地中海贫血特征和缺铁性贫血（IDA）方面的诊断价值。血清铁浓度被纳入诊断模型的第二阶段，并确定其预测贡献。对数据应用判别分析后，采用威尔克斯 lambda（lambda）准则最小化来选择最佳预测变量。使用一个由754名先前被分类为IDA（428例）或地中海贫血特征（326例）的受试者组成的训练样本来确定分类规则。当纳入血清铁浓度时，该模型显示出比仅由血液学变量构建的模型更高的预测能力（D = 2.342红细胞计数 - 0.079血红蛋白 + 3.627 log[铁] - 6.459，其中D =判别分数）。在一个由256名患者（137例地中海贫血和119例IDA）组成的对照样本上评估，与该模型相关的敏感性、特异性和诊断效率分别为94.2%、91.6%和93.0%。与其他作者的模型相比，该模型具有最高的诊断效率。
