线性免疫测定和数字液体芯片法检测自身免疫性肝病自身抗体的临床表现

Heye Lv, Ao Deng, Yijun Chen, Zhenzhen Su
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引用次数: 0

摘要

背景鉴定与自身免疫性肝病(ALD)相关的自身抗体对于诊断和治疗至关重要。目前已有多种实验室方法用于检测自身抗体谱。然而,这些检测方法的性能参差不齐,可能会给临床医生和患者带来挑战:研究线性免疫分析法(LIA)和数字液体芯片法(DLCM)这两种市售检测方法在 ALD 患者中的一致性和诊断性能:共收集了 291 份血清样本,其中 180 份来自 ALD 患者,111 份来自对照组。样本通过 LIA 和 DLCM 进行检测。对每种检测方法的一致性和诊断性能进行了分析:主要自身抗体(抗线粒体抗体 M2、抗 gp210、抗 Sp100 和抗 Ro52 抗体)之间的一致性非常好,甚至几乎完全一致。然而,两种方法对一些不常见的自身抗体(抗LKM-1、抗LC-1和抗SLA/LP)的Cohen κ系数并不理想。LIA的灵敏度、准确性和阴性预测值略高,而DLCM的特异性和阳性预测值略高:结论:LIA 和 DLCM 在检测常见的 ALD 相关自身抗体方面表现不相上下。LIA似乎更灵敏,而DLCM显示出更高的特异性。然而,这些不同检测系统之间的 ALD 自身抗体检测标准化仍面临挑战。为了减少患者和临床医生可能产生的误解和混淆,全面的实验室间验证至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical Performance of the Line Immunoassay and Digital Liquid Chip Method for Detecting Autoimmune Liver Disease Autoantibodies.

Context.—: The identification of autoantibodies associated with autoimmune liver disease (ALD) is crucial for diagnosis and management. Various laboratory methods have been introduced to detect autoantibody profiles. However, the variable performance of these assays may create challenges for clinicians and patients.

Objective.—: To investigate the concordance rates and diagnostic performance of 2 commercially available assays, line immunoassay (LIA) and digital liquid chip method (DLCM), in patients with ALD.

Design.—: A total of 291 serum samples were collected, consisting of 180 sera from patients with ALD and 111 sera from controls. The samples were detected through LIA and DLCM. The agreement and diagnostic performance of each assay were analyzed.

Results.—: There was substantial to almost perfect agreement among prevalent autoantibodies (anti-mitochondrial antibody M2, antibodies against gp210, Sp100, and Ro52). Nevertheless, the Cohen κ coefficient of some uncommon autoantibodies (anti-LKM-1, anti-LC-1, and anti-SLA/LP) between the 2 methods was not ideal. LIA showed slightly better sensitivity, accuracy, and negative predictive value, while DLCM exhibited slightly higher specificity and positive predictive value.

Conclusions.—: LIA and DLCM demonstrated comparable performance for the detection of common ALD-related autoantibodies. LIA seemed to be more sensitive, while DLCM displayed more specificity. However, standardization of ALD autoantibody detection still faces challenges between these diverse detection systems. Comprehensive interlaboratory validation is essential to mitigate potential misunderstanding and confusion among patients and clinicians.

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