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Amyloid Prediction in Early Stage Alzheimer's Disease From Acoustic and Linguistic Patterns of Speech (AMYPRED)

2021年9月3日 更新者：Novoic Limited

A Study to Evaluate the Ability of Speech- and Language-based Digital Biomarkers to Detect and Characterise Prodromal and Preclinical Alzheimer's Disease in a Clinical Setting

The primary objective of the study is to evaluate whether a set of algorithms analysing acoustic and linguistic patterns of speech can detect amyloid-specific cognitive impairment in early stage Alzheimer's disease, as measured by the AUC of the receiver operating characteristic (ROC) curve of the binary classifier distinguishing between amyloid positive (Arms 1 and 3) and amyloid negative (Arms 2 and 4) Arms. Secondary objectives include (1) evaluating whether similar algorithms can detect amyloid-specific cognitive impairment in the cognitively normal (CN) and MCI Arms respectively, as measured on binary classifier performance; (2) whether they can detect MCI, as measured on binary classifier performance (AUC, sensitivity, specificity, Cohen's kappa), and the agreement between the PACC5 composite and the corresponding regression model predicting it in all Arms pooled (Wilcoxon signed-rank test, CIA); (3) evaluating variables that can impact performance of such algorithms of covariates from the speaker (age, gender, education level) and environment (measures of acoustic quality).

研究概览

地位

完全的

条件

研究类型

观察性的

注册 (实际的)

141

联系人和位置

本节提供了进行研究的人员的详细联系信息，以及有关进行该研究的地点的信息。

学习地点

  • 英国
      • Birmingham、英国、B16 8LT
        • Re:Cognition Health
      • Guildford、英国、GU2 7YD
        • Re:Cognition Health
      • London、英国、W1G 9JF
        • Re:Cognition Health
      • Plymouth、英国、PL68BT
        • Re:Cognition Health

参与标准

研究人员寻找符合特定描述的人，称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

50年 至 85年 (成人、年长者)

接受健康志愿者

是的

有资格学习的性别

全部

取样方法

非概率样本

研究人群

All participants of the study are based in the UK.

描述

Inclusion Criteria:

  • Amyloid status must be known, based on an amyloid PET scan or CSF amyloid test, no older than 30 months at the time of consent for Arm 2 and Arm 4 participants (amyloid negative Arms).
  • Amyloid status must be known, based on an amyloid PET scan or CSF amyloid test, no older than 60 months at the time of consent for Arm 1 and Arm 3 (amyloid positive Arms).
  • Subjects must be aged 50-85 (inclusive).
  • Subjects must have MMSE scores of 23-30 (inclusive) based on a test not older than 1 month at the time of the visit.
  • Date of diagnosis (if applicable) maximum of five years prior to consent.
  • Subjects' first language must be English.
  • Willing to participate in a study investigating speech and Alzheimer's disease.
  • Availability of a person ('caregiver') who in the investigator's judgment has frequent and sufficient in-person contact with the participant, and is able to provide accurate information regarding the participant's cognitive and functional abilities. This is most likely met when living with a caregiver.
  • Able to provide valid informed consent
  • Able to use, or has a caregiver who is able to use a smartphone device.
  • Has access to a smartphone device running an operation system of Android 7 or above; or iOS 11 or above.

If taking part in the study through virtual visits, the following inclusion criteria also applies:

  • Able to use, or has a caregiver who is able to use a personal computer, notebook or tablet.
  • Has access to a personal computing device of that is running an operating system of macOS X with macOS 10.9 or later, or Windows 7 or above, or Ubuntu 12.04 or higher; OR has access internet browser software Internet Explorer version 11 or above; or Microsoft Edge version 12 or above, or Firefox version 27 or above, or Google Chrome version 30 or above, or Safari version 7 or above; AND capable of audio and video recording; AND able to connect to the internet.

Exclusion Criteria:

  • Clinically significant unstable psychiatric illness in 6 months.
  • Diagnosis of Generalised Anxiety Disorder (GAD).
  • Diagnosis of Major Depressive Disorder (MDD).
  • History or presence of stroke within the past 2 years.
  • Documented history of transient ischemic attack or unexplained loss of consciousness within the last 12 months.
  • The participant is using drugs to treat symptoms related to AD, and the doses of these drugs were not stable for at least 8 weeks prior to consent.

学习计划

本节提供研究计划的详细信息，包括研究的设计方式和研究的衡量标准。

研究是如何设计的？

设计细节

队列和干预

团体/队列
Arm 1: MCI amyloid positive
  1. Meet the National Institute of Aging - Alzheimer's Association (NIA-AA) core clinical criteria (2011) for MCI due to Alzheimer's or Mild Alzheimer's Dementia
  2. Positive amyloid PET or amyloid CSF status.
  3. MMSE 23-30 (inclusive)
Arm 2: MCI amyloid negative
  1. Non-AD Mild Cognitive Impairment (MCI)
  2. Negative amyloid PET or amyloid CSF status.
  3. MMSE 23-30 (inclusive)
Arm 3: CN amyloid positive
  1. Absence of a diagnosis of cognitive disorder and/or subjectively reported cognitive decline
  2. Positive amyloid PET or amyloid CSF status.
  3. MMSE 26-30 (inclusive)
Arm 4: CN amyloid negative
  1. Absence of a diagnosis of cognitive disorder and/or subjectively reported cognitive decline
  2. Negative amyloid PET or amyloid CSF status.
  3. MMSE 26-30 (inclusive)

研究衡量的是什么？

主要结果指标

结果测量
大体时间
The area under the curve (AUC) of the receiver operating characteristic (ROC) curve of the binary classifier distinguishing between amyloid positive (Arms 1 and 3) and amyloid negative (Arms 2 and 4) Arms using speech recordings as input.
大体时间：baseline
baseline

次要结果测量

结果测量
大体时间
The agreement between the PACC5 composite and the corresponding regression model predicting it in all four Arms, as measured by the coefficient of individual agreement (CIA).
大体时间：baseline
baseline
The sensitivity, specificity and Cohen's kappa of the binary classifier distinguishing between amyloid positive (Arms 1 and 3) and amyloid negative (Arms 2 and 4) Arms.
大体时间：baseline
baseline
The AUC, sensitivity, specificity and Cohen's kappa of the binary classifier distinguishing between amyloid positive cognitively normal (CN) (Arm 3) and amyloid negative cognitively normal (CN) (Arm 4) Arms.
大体时间：baseline
baseline
The AUC, sensitivity, specificity and Cohen's kappa of the binary classifier distinguishing between amyloid positive MCI (Arm 1) and amyloid negative MCI (Arm 2) Arms.
大体时间：baseline
baseline
The AUC, sensitivity, specificity and Cohen's kappa of the binary classifier distinguishing between the MCI (Arms 1 and 2) and the CN (Arms 3 and 4) Arms.
大体时间：baseline
baseline
For each classifier/regressor in outcome 1-6, the correlation between the AUC/CIA and each age group, gender and speech-to-reverberation modulation energy ratio group, as measured by the Kendall rank correlation coefficient.
大体时间：baseline
baseline

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

赞助

Novoic Limited

调查人员

  • 首席研究员：Emil Fristed, MSc、Novoic Limited

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查，以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (实际的)

2020年11月19日

初级完成 (实际的)

2021年8月6日

研究完成 (实际的)

2021年8月6日

研究注册日期

首次提交

2021年3月26日

首先提交符合 QC 标准的

2021年3月30日

首次发布 (实际的)

2021年4月1日

研究记录更新

最后更新发布 (实际的)

2021年9月5日

上次提交的符合 QC 标准的更新

2021年9月3日

最后验证

2021年3月1日

更多信息

与本研究相关的术语

关键字

其他相关的 MeSH 术语

其他研究编号

  • NOV-0100

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)？

未定

药物和器械信息、研究文件

研究美国 FDA 监管的药品

不

研究美国 FDA 监管的设备产品

不

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