帕金森病初级医疗血液检测。

Journal of Alzheimer's disease & Parkinsonism Pub Date : 2022-01-01 Epub Date: 2022-07-22
Sid E O'Bryant, Melissa Petersen, Fan Zhang, Leigh Johnson, Dwight German, James Hall
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引用次数: 0

摘要

背景:在初级医疗机构中,血液检测可作为多层次神经诊断过程的第一步,用于排除帕金森病(PD)。因此,本研究试图对我们的帕金森病血液检验(PDBT)进行大规模的交叉验证,以便在初级医疗机构中使用:方法:分析了846名帕金森病患者和2291名自愿对照者的血清样本。使用电化学发光(ECL)在多重生物标记检测平台上进行蛋白质组检测。使用接收者工作特征曲线下面积(AUC)、灵敏度(SN)、特异度(SP)和负预测值(NPV)生成诊断准确性统计:在训练集中,PDBT 区分帕金森病病例和对照组的 AUC 为 0.98,SN 为 0.84,SP 为 0.98。应用于测试集时,PDBT 的 AUC 为 0.96,SN 为 0.79,SP 为 0.97。在 2% 的基数率下,PDBT 的阴性预测值为 99%:PDBT在区分帕金森氏症患者和对照病例方面非常成功,具有为初级保健提供者提供快速、可扩展且经济有效的帕金森氏症筛查工具的巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Parkinson's Disease Blood Test for Primary Care.

Parkinson's Disease Blood Test for Primary Care.

Parkinson's Disease Blood Test for Primary Care.

Background: A blood-test that could serve as a potential first step in a multi-tiered neurodiagnostic process for ruling out Parkinson's disease (PD) in primary care settings would be of tremendous value. This study therefore sought to conduct a large-scale cross-validation of our Parkinson's disease Blood Test (PDBT) for use in primary care settings.

Methods: Serum samples were analyzed from 846 PD and 2291 volunteer controls. Proteomic assays were run on a multiplex biomarker assay platform using Electrochemiluminescence (ECL). Diagnostic accuracy statistics were generated using area under the receiver operating characteristic curve (AUC), Sensitivity (SN), Specificity (SP) and Negative Predictive Value (NPV).

Results: In the training set, the PDBT reached an AUC of 0.98 when distinguishing PD cases from controls with a SN of 0.84 and SP of 0.98. When applied to the test set, the PDBT yielded an AUC of 0.96, SN of 0.79 and SP of 0.97. The PDBT obtained a negative predictive value of 99% for a 2% base rate.

Conclusion: The PDBT was highly successful in discriminating PD patients from control cases and has great potential for providing primary care providers with a rapid, scalable and cost-effective tool for screening out PD.

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