基于阻抗和荧光血小板差异的新公式区分缺铁性贫血和非输血依赖性地中海贫血。

IF 1
Chanjuan Wang, Jinbiao Wu, Yiting Feng
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引用次数: 0

摘要

缺铁性贫血(IDA)和非输血依赖型地中海贫血(NTDT)是两种最常见的小细胞性低色素贫血,但它们很难通过常规检查加以区分。据报道,地中海贫血的红细胞(rbc)倾向于更多的小细胞和多态性,这可能干扰阻抗血小板计数(PLT-I)。为了校正PLT-I,可以使用荧光血小板计数(PLT-F)。方法:为了建立一个新的基于PLT-I和PLT-F (dPLT)差异的判别公式,本研究回顾性分析了350例患者:145例IDA和205例NTDT。红细胞和血小板参数在Sysmex XN-9000系统上获得。采用单变量和多变量回归分析筛选指标。采用受试者工作特征曲线分析诊断效果。结果:我们发现在NTDT患者中,红细胞对PLT-I的干扰更大。NTDT患者的dPLT高于IDA患者,差异有统计学意义。基于红细胞指数和dPLT,建立PRMH(结合血小板差异、红细胞计数、平均红细胞血红蛋白浓度和红细胞压积的模型)诊断模型。讨论:与11个已报道的公式相比,PRMH模型的诊断效果更好,敏感性为88%,特异性为87%。因此,PRMH模型可以用来区分NTDT和IDA。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New formula based on the discrepancy between impedance and fluorescence platelet to distinguish iron-deficiency anemia from non-transfusion-dependent thalassemia.

Introduction: Iron-deficiency anemia (IDA) and non-transfusion-dependent thalassemia (NTDT) are the 2 most common types of microcytic hypochromic anemia, but they are difficult to distinguish by routine tests. It is reported that red blood cells (RBCs) in thalassemia tend to be more microcytic and polymorphic, which may interfere with impedance platelet count (PLT-I). To correct PLT-I, fluorescence platelet count (PLT-F) can be used.

Methods: To establish a new discriminant formula based on the discrepancy between PLT-I and PLT-F (dPLT), this study retrospectively reviewed 350 patients: 145 with IDA and 205 with NTDT. The RBC and platelet parameters were obtained on a Sysmex XN-9000 system. Univariable and multivariable regression analyses were performed to screen the indicators. Diagnostic efficacy was analyzed using receiver operating characteristic curves.

Results: We found that the interference with PLT-I by RBCs was greater in patients with NTDT. The dPLT of patients with NTDT was statistically significantly higher than that of patients with IDA. Based on erythrocyte indices and dPLT, the diagnosis model, called PRMH (a model incorporating platelet difference, RBC count, mean corpuscular hemoglobin concentration, and hematocrit), was established.

Discussion: When compared with 11 reported formulas, the PRMH model showed better diagnostic efficacy, with a sensitivity of 88% and a specificity of 87%. Hence, the PRMH model can be used to distinguish NTDT from IDA.

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