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Combined detection of erythrocyte and reticulocyte to improve screening efficiency of thalassaemia trait in pregnancy

机译:联合检测红细胞和网状细胞以提高妊娠期地中海贫血性状的筛查效率

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Objective Both iron deficiency anemia (IDA) and thalassaemia trait (TT) are indistinguishable in pregnancy. This study aimed to establish some new hematological indices based on erythrocyte and reticulocyte parameters to distinguish each other. Methods A total of 425 anemic pregnant women including 177 cases with IDA, 105 cases with α-TT, and 143 cases with β-TT were enrolled in the study and divided into two groups: development and validation groups. Logit-P1 (for identifying TT from IDA) and logit-P2 equations (for distinguishing between α-TT and β-TT) were designed in the development group, and their diagnostic performances were compared with 12 previous hematological indices in the validation group. Results The optimal cut-off value, sensitivity, sensitivity of logit-P1 were 0.84, 85.9%, 55.9%, and those of logit-P2 were 0.41, 85.9%, 55.9%. Compared to 12 hematological indices, logit-P1 (AUC?=?0.765) and logit-P2 (AUC?=?0.919) provided optimal identification performances within respective application ranges (P??0.001). In combination with the supplementary criteria (RBC#≥4.1?×?1012/L), the two equations had low missed diagnosis rate and high accuracy rate for α-TT carriers (6.3% and 79.4%) and β-TT carriers (4.7% and 81.4%), and showed moderate agreement with clinical diagnosis (Kappa?=?0.540). Conclusion For screening TT in anemic pregnant women, reticulocyte detection should be taken into account. The hematological indices based on erythrocyte and reticulocyte parameters would be superior to those only calculated by erythrocyte parameters.
机译:目的妊娠期铁缺乏性贫血(IDA)和地中海贫血性状(TT)难以区分。这项研究旨在基于红细胞和网状细胞参数建立一些新的血液学指标,以相互区分。方法纳入425例贫血孕妇,其中IDA 177例,α-TT105例,β-TT143例,分为发展组和验证组。在开发组中设计了Logit-P1(用于从IDA识别TT)和logit-P2方程(用于区分α-TT和β-TT),并将其诊断性能与验证组中的12个以前的血液学指标进行了比较。结果logit-P1的最佳临界值,灵敏度,灵敏度分别为0.84、85.9%,55.9%和logit-P2的最佳临界值分别为0.41、85.9%,55.9%。与12种血液学指标相比,logit-P1(AUCα=?0.765)和logit-P2(AUCα=?0.919)在各自的应用范围内提供了最佳的识别性能(P 0.001)。结合补充标准(RBC#≥4.1?×?1012 / L),两个方程对α-TT携带者(6.3%和79.4%)和β-TT携带者(4.7)的漏诊率低,准确率高。 (%和81.4%),并显示出与临床诊断的中度一致性(Kappa == 0.540)。结论贫血孕妇进行TT筛查时应考虑网织红细胞的检测。基于红细胞和网织红细胞参数的血液学指标将优于仅通过红细胞参数计算的血液学指标。

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