用于bvFTD和PPA诊断及监测的统一数据集语言测量方法。
Uniform data set language measures for bvFTD and PPA diagnosis and monitoring.
作者信息
Staffaroni Adam M, Weintraub Sandra, Rascovsky Katya, Rankin Katherine P, Taylor Jack, Fields Julie A, Casaletto Kaitlin B, Hillis Argye E, Lukic Sladjana, Gorno-Tempini Maria Luisa, Heuer Hilary, Teylan Merilee A, Kukull Walter A, Miller Bruce L, Boeve Bradley F, Rosen Howard J, Boxer Adam L, Kramer Joel H
机构信息
Department of Neurology Memory and Aging Center Weill Institute for Neurosciences University of California at San Francisco (UCSF) San Francisco California USA.
Mesulam Center for Cognitive Neurology and Alzheimer's Disease and Department of Psychiatry and Behavioral Sciences Feinberg School of Medicine Department of Neurology Northwestern University Chicago Illinois USA.
出版信息
Alzheimers Dement (Amst). 2021 Feb 20;13(1):e12148. doi: 10.1002/dad2.12148. eCollection 2021.
INTRODUCTION
The Frontotemporal Lobar Degeneration Module (FTLD-MOD) includes a neuropsychological battery designed to assess the clinical features of FTLD, although much is unknown about its utility. We investigated FTLD-MOD and Uniform Data Set 3.0 (UDS) language tests for differential diagnosis and disease monitoring.
METHODS
Linear regressions compared baseline performances in 1655 National Alzheimer's Coordinating Center participants (behavioral variant frontotemporal dementia (bvFTD, n = 612), semantic variant primary progressive aphasia (svPPA, n = 168), non-fluent/agrammatic variant PPA (nfvPPA, n = 168), logopenic variant PPA (lvPPA, n = 109), and controls (n = 581)). Sample sizes to detect treatment effects were estimated using longitudinal data.
RESULTS
Among PPAs, the FTLD-MOD language tasks and UDS Multilingual Naming Test accurately discriminated svPPA. Number Span Forward best discriminated lvPPA; Phonemic:Semantic Fluency ratio was excellent for nfvPPA classification. UDS fluency and naming measures required the smallest sample size to detect meaningful change.
DISCUSSION
The FTLD-MOD and UDS differentiated among PPA subtypes. UDS 3.0 measures performed best for longitudinal monitoring.
引言
额颞叶变性模块（FTLD-MOD）包括一组神经心理学测试，旨在评估额颞叶变性的临床特征，尽管其效用仍有许多未知之处。我们研究了FTLD-MOD和统一数据集3.0（UDS）语言测试在鉴别诊断和疾病监测中的作用。
方法
通过线性回归比较了1655名国家阿尔茨海默病协调中心参与者（行为变异型额颞叶痴呆（bvFTD，n = 612）、语义变异型原发性进行性失语（svPPA，n = 168）、非流利/语法缺失变异型PPA（nfvPPA，n = 168）、语音变异型PPA（lvPPA，n = 109）和对照组（n = 581））的基线表现。使用纵向数据估计检测治疗效果所需的样本量。
结果
在原发性进行性失语患者中，FTLD-MOD语言任务和UDS多语言命名测试能准确鉴别svPPA。数字广度顺背最能鉴别lvPPA；音素：语义流畅度比在nfvPPA分类中表现出色。UDS流畅性和命名测量检测有意义变化所需的样本量最小。
讨论
FTLD-MOD和UDS能区分原发性进行性失语的亚型。UDS 3.0测量在纵向监测中表现最佳。
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