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  • Title: Uniform data set language measures for bvFTD and PPA diagnosis and monitoring.
    Author: Staffaroni AM, Weintraub S, Rascovsky K, Rankin KP, Taylor J, Fields JA, Casaletto KB, Hillis AE, Lukic S, Gorno-Tempini ML, Heuer H, Teylan MA, Kukull WA, Miller BL, Boeve BF, Rosen HJ, Boxer AL, Kramer JH.
    Journal: Alzheimers Dement (Amst); 2021; 13(1):e12148. PubMed ID: 33665340.
    Abstract:
    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.
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