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Elecsys 脑脊液检测准确地区分阿尔茨海默病与额颞叶变性。

Elecsys Cerebrospinal Fluid Assays Accurately Distinguish Alzheimer's Disease from Frontotemporal Lobar Degeneration.

机构信息

Dr Marion Ortner, MD, Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Ismaninger Str. 22, 81675 Munich, Germany; Telephone: +49 89 41404275; Fax: +49 89 41404923; Email:

出版信息

J Prev Alzheimers Dis. 2022;9(3):491-498. doi: 10.14283/jpad.2022.27.

Abstract

BACKGROUND

Alzheimer's disease (AD) and frontotemporal lobar degeneration (FTLD) are heterogeneous in their clinical presentation and underlying pathology, but they often have overlapping features. Diagnostic accuracy is critical for guiding patient management. Cerebrospinal fluid (CSF) diagnostic assays for the differentiation of AD and FTLD may increase diagnostic accuracy.

OBJECTIVES

In this study, we aimed to understand the potential role of CSF biomarkers and biomarker ratios, measured using Elecsys® CSF immunoassays (Roche Diagnostics International Ltd, Rotkreuz, Switzerland), in the differential diagnosis of AD and FTLD.

DESIGN

This study was conducted at a single center in Munich, Germany between July 2019 and July 2020. Patient CSF samples were retrospectively collected from the study center biobank.

PARTICIPANTS

A total of 130 patients with cognitive impairment were included in the study; 86 patients were diagnosed with AD and 44 with FTLD (behavioral variant frontotemporal dementia, semantic variant of primary progressive aphasia, and non-fluent variant of primary progressive aphasia), based on core clinical criteria and a non-CSF biomarker, a typical pattern of regional hypometabolism on [18F] fluorodeoxyglucose positron emission tomography.

MEASUREMENTS

Patient CSF biomarker concentrations were measured using Elecsys CSF immunoassays. Receiver operating characteristic analyses were conducted to determine areas under the curve (AUCs) for CSF biomarker performance. Sensitivity and specificity analyses were conducted to evaluate the performance of established cut-offs (Aβ42 ≤1000 pg/mL, pTau181/Aβ42 ratio >0.024, and tTau/Aβ42 ratio >0.28) and optimized cut-offs based on Youden's index.

RESULTS

AUC-based performance was similarly good for the pTau181/Aβ42 ratio (AUC=0.841; 95% CI: 0.759-0.923), pTau181/Aβ40 ratio (AUC=0.837; 95% CI: 0.754-0.919), Aβ42/Aβ40 ratio (AUC=0.829; 95% CI: 0.746-0.912), tTau/Aβ42 ratio (AUC=0.822; 95% CI: 0.736-0.908), pTau181/Aβ42/Aβ40 ratio (AUC=0.817; 95% CI: 0.734-0.901), and Aβ42 (AUC=0.812; 95% CI: 0.722-0.902). Performance was slightly lower for the tTau/Aβ42/Aβ40 ratio (AUC=0.799; 95% CI: 0.713-0.885), pTau181 alone (AUC=0.793; 95% CI: 0.707-0.880), tTau/Aβ40 ratio (AUC=0.751; 95% CI: 0.657-0.844), and tTau alone (AUC=0.706; 95% CI: 0.613-0.799). The highest qualitative performance was observed with the pTau181/Aβ42 ratio with an established cut-off value of >0.024 and optimized cut-off value of >0.022: sensitivity and specificity values were 0.892 and 0.773, respectively.

CONCLUSIONS

Elecsys CSF immunoassays demonstrate good diagnostic accuracy in differentiating patients with AD from those with FTLD. These immunoassays have the potential to support clinical decision making, i.e. in diagnosing patients with FTLD by excluding patients with amyloid positivity, which is indicative of underlying AD.

摘要

背景

阿尔茨海默病(AD)和额颞叶变性(FTLD)在临床表现和潜在病理方面存在异质性,但它们常常具有重叠的特征。诊断准确性对于指导患者管理至关重要。脑脊液(CSF)诊断检测可区分 AD 和 FTLD,从而提高诊断准确性。

目的

本研究旨在了解 Elecsys® CSF 免疫分析(罗氏诊断国际有限公司,Roche Diagnostics International Ltd,Rotkreuz,Switzerland)测量的 CSF 生物标志物和生物标志物比值在 AD 和 FTLD 鉴别诊断中的潜在作用。

设计

本研究于 2019 年 7 月至 2020 年 7 月在德国慕尼黑的一家单一中心进行。从研究中心生物库中回顾性收集患者的 CSF 样本。

参与者

共纳入 130 例认知障碍患者;根据核心临床标准和非 CSF 生物标志物([18F] 氟脱氧葡萄糖正电子发射断层扫描的典型区域性低代谢模式),86 例患者被诊断为 AD,44 例为 FTLD(行为变异额颞叶痴呆、语义变异原发性进行性失语症和非流畅性变异原发性进行性失语症)。

测量

使用 Elecsys CSF 免疫分析测量患者 CSF 生物标志物浓度。进行接收者操作特征分析以确定 CSF 生物标志物性能的曲线下面积(AUCs)。进行敏感性和特异性分析,以评估既定临界值(Aβ42≤1000pg/mL、pTau181/Aβ42 比值>0.024 和 tTau/Aβ42 比值>0.28)和基于 Youden 指数的优化临界值的性能。

结果

pTau181/Aβ42 比值(AUC=0.841;95%CI:0.759-0.923)、pTau181/Aβ40 比值(AUC=0.837;95%CI:0.754-0.919)、Aβ42/Aβ40 比值(AUC=0.829;95%CI:0.746-0.912)、tTau/Aβ42 比值(AUC=0.822;95%CI:0.736-0.908)、pTau181/Aβ42/Aβ40 比值(AUC=0.817;95%CI:0.734-0.901)和 Aβ42(AUC=0.812;95%CI:0.722-0.902)的 AUC 基于性能表现相当好。tTau/Aβ42/Aβ40 比值(AUC=0.799;95%CI:0.713-0.885)、pTau181 单独(AUC=0.793;95%CI:0.707-0.880)、tTau/Aβ40 比值(AUC=0.751;95%CI:0.657-0.844)和 tTau 单独(AUC=0.706;95%CI:0.613-0.799)的表现稍低。使用既定临界值>0.024 和优化临界值>0.022 时,pTau181/Aβ42 比值表现出最高的定性性能:敏感性和特异性值分别为 0.892 和 0.773。

结论

Elecsys CSF 免疫分析在区分 AD 患者和 FTLD 患者方面具有良好的诊断准确性。这些免疫分析有可能支持临床决策,例如通过排除具有淀粉样蛋白阳性的患者来诊断 FTLD,这表明潜在的 AD。

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