Protocol for a conversation-based analysis study: PREVENT-ED investigates dialogue features that may help predict dementia onset in later life
Protocol for a conversation-based analysis study: PREVENT-ED investigates dialogue features that may help predict dementia onset in later life
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DOI：
10.1136/bmjopen-2018-026254
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发表时间：
2019-06-01
期刊：
影响因子：
2.9
通讯作者：
Luz, Saturnino
中科院分区：
文献类型：
--
作者：
Garcia, Sofia de la Fuente;Ritchie, Craig W.;Luz, Saturnino
降低阿尔茨海默病（AD）的发病率是全球公共卫生的优先事项。早期发现AD是实现这一目标的预防战略的实施的一个重要前提。虽然AD早期患者可能表现出神经退行性变的微妙行为体征是合理的，但神经心理学测试似乎无法在临床前AD中检测到这些体征。最近的研究表明，自发的语音数据，可以经常和自然地收集，提供了很好的预测AD检测队列与临床诊断。潜在的模型的基础上，这些数据用于检测临床前AD仍然unknowed.Methods和分析的预防启发对话（预防ED）的研究建立在预防痴呆症项目，以调查是否可以通过对话互动检测到AD的早期行为体征。本研究将纳入通过PREVENT招募的基线年龄为40-59岁的受试者。我们将使用语音处理和机器学习方法来评估语音和视觉空间标记与PREVENT队列的神经心理学、生物标志物、临床、生活方式和遗传数据的一致程度。伦理和传播对参与者没有预期的风险或负担。这些程序不是侵入性的，不会引起重大的道德问题。我们仅接触健康同意的成年人，并将告知所有参与者这是一项探索性研究，因此没有诊断目的。数据加密和存储等保密方面符合《通用数据保护条例》以及赞助机构和伦理委员会的要求。本研究已获得伦敦-萨里研究伦理委员会（REC参考编号：18/LO/0860）和Caldicott和信息治理（参考编号：CRD 18048）的伦理批准。PREVENT-ED结果将发表在同行评审期刊上。
Introduction Decreasing the incidence of Alzheimer's disease (AD) is a global public health priority. Early detection of AD is an important requisite for the implementation of prevention strategies towards this goal. While it is plausible that patients at the early stages of AD may exhibit subtle behavioural signs of neurodegeneration, neuropsychological testing seems unable to detect these signs in preclinical AD. Recent studies indicate that spontaneous speech data, which can be collected frequently and naturally, provide good predictors for AD detection in cohorts with a clinical diagnosis. The potential of models based on such data for detecting preclinical AD remains unknown.Methods and analysis The PREVENT-Elicitation of Dialogues (PREVENT-ED) study builds on the PREVENT Dementia project to investigate whether early behavioural signs of AD may be detected through dialogue interaction. Participants recruited through PREVENT, aged 40-59 at baseline, will be included in this study. We will use speech processing and machine learning methods to assess how well speech and visuospatial markers agree with neuropsychological, biomarker, clinical, lifestyle and genetic data from the PREVENT cohort.Ethics and dissemination There are no expected risks or burdens to participants. The procedures are not invasive and do not raise significant ethical issues. We only approach healthy consenting adults and all participants will be informed that this is an exploratory study and therefore has no diagnostic aim. Confidentiality aspects such as data encryption and storage comply with the General Data Protection Regulation and with the requirements from sponsoring bodies and ethical committees. This study has been granted ethical approval by the London-Surrey Research Ethics Committee (REC reference No: 18/LO/0860), and by Caldicott and Information Governance (reference No: CRD18048). PREVENT-ED results will be published in peer-reviewed journals.