Feasibility, validity, and normative data for the remote Uniform Data Set neuropsychological battery at the University of Pennsylvania Alzheimer's Disease Research Center.

IF 4 Q1 CLINICAL NEUROLOGY Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring Pub Date : 2024-12-26 eCollection Date: 2024-10-01 DOI:10.1002/dad2.70043
Katherine Hackett, Yidan Shi, Laura Schankel, Nicole Oliveira, Melissa Kelley, Hannah McCoubrey, Sara Manning Peskin, Kyra O'Brien, Sharon X Xie, David Wolk, Dawn Mechanic-Hamilton
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Abstract

Introduction: We investigated the feasibility and validity of the remotely-administered neuropsychological battery from the National Alzheimer's Coordinating Center Uniform Data Set (UDS T-Cog).

Methods: Two hundred twenty Penn Alzheimer's Disease Research Center participants with unimpaired cognition, mild cognitive impairment, and dementia completed the T-Cog during their annual UDS evaluation. We assessed administration feasibility and diagnostic group differences cross-sectionally across telephone versus videoconference modalities, and compared T-Cog to prior in-person UDS scores longitudinally.

Results: Administration time averaged 54 min and 79% of participants who initiated a T-Cog completed all 12 subtests; completion time and rates differed by diagnostic group but not by modality. Performance varied expectedly across groups with moderate to strong associations between most T-Cog measures and in-person correlates, although select subtests demonstrated lower comparability.

Discussion: The T-Cog is feasibly administered and shows preliminary validity in a cognitively heterogeneous cohort. Normative data from this cohort should be expanded to more diverse populations to enhance utility and generalizability.

Highlights: This study examined the feasibility and validity of the remote Uniform Data Set (also known as the T-Cog) and contributes key normative data for widespread use.A remote neuropsychological battery was feasibly administered with high overall engagement and completion rates, adequate reliability compared to in-person testing, and evidence of validity across diagnostic groups.Typical barriers to administration included hearing impairment, technology issues, and distractions; hearing difficulties were particularly common among cognitively impaired groups.Certain tests were less closely related to their in-person correlates and should be used with caution.

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宾夕法尼亚大学阿尔茨海默病研究中心远程统一数据集神经心理学电池的可行性、有效性和规范性数据。
我们研究了来自国家阿尔茨海默病协调中心统一数据集(UDS T-Cog)的远程给药神经心理学电池的可行性和有效性。方法:220名宾夕法尼亚大学阿尔茨海默病研究中心的参与者,包括认知功能未受损、轻度认知障碍和痴呆,在他们的年度UDS评估期间完成了T-Cog。我们通过电话和视频会议的方式评估了给药的可行性和诊断组的差异,并将T-Cog与之前的面对面UDS评分进行了纵向比较。结果:给药时间平均为54分钟,启动T-Cog的参与者中有79%完成了所有12个子测试;完成时间和比率因诊断组而异,但因治疗方式而无差异。大多数T-Cog测量和面对面的相关性之间存在中度到强烈的关联,尽管选择的子测试显示了较低的可比性,但在不同的组中,表现的差异是预期的。讨论:T-Cog是可行的,在认知异质性队列中显示出初步的有效性。该队列的规范数据应扩展到更多样化的人群,以提高效用和普遍性。本研究考察了远程统一数据集(也称为T-Cog)的可行性和有效性,并为广泛使用提供了关键的规范性数据。远程神经心理学测试具有较高的总体参与度和完成率,与现场测试相比具有足够的可靠性,并且在诊断组中具有有效性。典型的管理障碍包括听力障碍、技术问题和分心;听力障碍在认知障碍人群中尤为普遍。某些测试与其个人相关性不太密切,应谨慎使用。
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来源期刊
CiteScore
7.80
自引率
7.50%
发文量
101
审稿时长
8 weeks
期刊介绍: Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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