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开发一种用于临床前阿尔茨海默病的智能手机筛查测试,并在整个痴呆症连续体中进行验证。

Development of a smartphone screening test for preclinical Alzheimer's disease and validation across the dementia continuum.

机构信息

Wicking Dementia Research and Education Centre, University of Tasmania, Liverpool Street, Hobart, TAS, 7001, Australia.

School of Medicine, University of Tasmania, Hobart, TAS, 7001, Australia.

出版信息

BMC Neurol. 2024 Apr 16;24(1):127. doi: 10.1186/s12883-024-03609-z.

Abstract

BACKGROUND

Dementia prevalence is predicted to triple to 152 million globally by 2050. Alzheimer's disease (AD) constitutes 70% of cases. There is an urgent need to identify individuals with preclinical AD, a 10-20-year period of progressive brain pathology without noticeable cognitive symptoms, for targeted risk reduction. Current tests of AD pathology are either too invasive, specialised or expensive for population-level assessments. Cognitive tests are normal in preclinical AD. Emerging evidence demonstrates that movement analysis is sensitive to AD across the disease continuum, including preclinical AD. Our new smartphone test, TapTalk, combines analysis of hand and speech-like movements to detect AD risk. This study aims to [1] determine which combinations of hand-speech movement data most accurately predict preclinical AD [2], determine usability, reliability, and validity of TapTalk in cognitively asymptomatic older adults and [3], prospectively validate TapTalk in older adults who have cognitive symptoms against cognitive tests and clinical diagnoses of Mild Cognitive Impairment and AD dementia.

METHODS

Aim 1 will be addressed in a cross-sectional study of at least 500 cognitively asymptomatic older adults who will complete computerised tests comprising measures of hand motor control (finger tapping) and oro-motor control (syllabic diadochokinesis). So far, 1382 adults, mean (SD) age 66.20 (7.65) years, range 50-92 (72.07% female) have been recruited. Motor measures will be compared to a blood-based AD biomarker, phosphorylated tau 181 to develop an algorithm that classifies preclinical AD risk. Aim 2 comprises three sub-studies in cognitively asymptomatic adults: (i) a cross-sectional study of 30-40 adults to determine the validity of data collection from different types of smartphones, (ii) a prospective cohort study of 50-100 adults ≥ 50 years old to determine usability and test-retest reliability, and (iii) a prospective cohort study of ~1,000 adults ≥ 50 years old to validate against cognitive measures. Aim 3 will be addressed in a cross-sectional study of ~200 participants with cognitive symptoms to validate TapTalk against Montreal Cognitive Assessment and interdisciplinary consensus diagnosis.

DISCUSSION

This study will establish the precision of TapTalk to identify preclinical AD and estimate risk of cognitive decline. If accurate, this innovative smartphone app will enable low-cost, accessible screening of individuals for AD risk. This will have wide applications in public health initiatives and clinical trials.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT06114914, 29 October 2023. Retrospectively registered.

摘要

背景

到 2050 年,预计全球痴呆症患病率将增至三倍,达到 1.52 亿。阿尔茨海默病(AD)占病例的 70%。迫切需要识别出有临床前 AD 的个体,这是一个 10-20 年的渐进性脑病理过程,没有明显的认知症状,以便进行有针对性的风险降低。目前 AD 病理的检测要么过于侵入性、专业化或昂贵,不适合人群水平评估。认知测试在临床前 AD 中是正常的。新出现的证据表明,运动分析在整个疾病连续体中对 AD 敏感,包括临床前 AD。我们的新智能手机测试 TapTalk 结合了对手和类似言语运动的分析,以检测 AD 风险。本研究旨在:[1]确定最准确地预测临床前 AD 的手-语音运动数据的组合;[2]确定 TapTalk 在认知无症状的老年人中的可用性、可靠性和有效性;[3]前瞻性验证 TapTalk 在有认知症状的老年人中的准确性,与认知测试和轻度认知障碍和 AD 痴呆的临床诊断相比。

方法

目标 1 将在一项横断面研究中进行,该研究至少包括 500 名认知无症状的老年人,他们将完成计算机测试,包括手部运动控制(手指敲击)和口腔运动控制(音节交替发音)的测量。到目前为止,已经招募了 1382 名成年人,平均(SD)年龄为 66.20(7.65)岁,范围为 50-92(72.07%为女性)。运动测量将与血液中的 AD 生物标志物磷酸化 tau181 进行比较,以开发一种能够分类临床前 AD 风险的算法。目标 2 包括在认知无症状成年人中的三项子研究:(i)对 30-40 名成年人进行横断面研究,以确定从不同类型的智能手机收集数据的有效性;(ii)对 50-100 名≥50 岁的成年人进行前瞻性队列研究,以确定可用性和测试-重测可靠性;(iii)对1000 名≥50 岁的成年人进行前瞻性队列研究,以与认知测量进行验证。目标 3 将在一项有认知症状的200 名参与者的横断面研究中进行,以验证 TapTalk 与蒙特利尔认知评估和跨学科共识诊断的准确性。

讨论

本研究将确定 TapTalk 识别临床前 AD 和估计认知下降风险的精确性。如果准确,这种创新的智能手机应用程序将能够以低成本、可访问的方式对 AD 风险进行筛查。这将在公共卫生倡议和临床试验中具有广泛的应用。

试验注册

ClinicalTrials.gov 标识符:NCT06114914,2023 年 10 月 29 日。回顾性注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d506/11020184/1d58af39f5f2/12883_2024_3609_Fig1_HTML.jpg

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