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 = 185), 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.
Original language | English (US) |
---|---|
Article number | e12148 |
Journal | Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring |
Volume | 13 |
Issue number | 1 |
DOIs | |
State | Published - 2021 |
Keywords
- Clinical trials
- Cognition
- Differential diagnosis
- Endpoints
- FTLD module
- Frontotemporal dementia (FTD)
- Longitudinal
- Neuropsychology
- Primary progressive aphasia (PPA)
- Speech
ASJC Scopus subject areas
- Clinical Neurology
- Psychiatry and Mental health
Access to Document
Other files and links
Fingerprint
Dive into the research topics of 'Uniform data set language measures for bvftd and ppa diagnosis and monitoring'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver
}
In: Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, Vol. 13, No. 1, e12148, 2021.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Uniform data set language measures for bvftd and ppa diagnosis and monitoring
AU - Staffaroni, Adam M.
AU - Weintraub, Sandra
AU - Rascovsky, Katya
AU - Rankin, Katherine P.
AU - Taylor, Jack
AU - Fields, Julie A.
AU - Casaletto, Kaitlin B.
AU - Hillis, Argye E.
AU - Lukic, Sladjana
AU - Gorno-Tempini, Maria Luisa
AU - Heuer, Hilary
AU - Teylan, Merilee A.
AU - Kukull, Walter A.
AU - Miller, Bruce L.
AU - Boeve, Bradley F.
AU - Rosen, Howard J.
AU - Boxer, Adam L.
AU - Kramer, Joel H.
N1 - Funding Information: BB has served as an investigator for clinical trials sponsored by Axo-vant and Biogen. He receives royalties from the publication of a book entitled Behavioral Neurology of Dementia (Cambridge Medicine, 2009, 2017). He serves on the Scientific Advisory Board of the Tau Consortium. He receives research support from the NIH, the Mayo Clinic Dorothy and Harry T. Mangurian Jr. Lewy Body Dementia Program, and the Little Family Foundation. HJR has a consulting agreement Ionis Pharmaceuticals. JHK has provided consultation for Biogen. He helped develop the Delis–Kaplan Executive Function System and receives royalties from Pearson Education, Inc., for helping to develop the California Verbal Learning Test. ALB receives research support from NIH, the Tau Research Consortium, the Association for Frontotemporal Degeneration, Bluefield Project to Cure Frontotemporal Dementia, Corticobasal Degeneration Solutions, the Alzheimer’s Drug Discovery Foundation, and the Alzheimer’s Association. He has served as a consultant for Aeton, Abbvie, Alector, Amgen, Arkuda, Ionis, Iperian, Janssen, Merck, Novartis, Samumed, Toyama, and UCB; and has received research support from Avid, Biogen, BMS, C2N, Cor-tice, Eli Lilly, Forum, Genentech, Janssen, Novartis, Pfizer, Roche, and TauRx. Funding Information: The National Alzheimer’s Coordinating Center (NACC) database is funded by National Institute on Aging/National Institutes of Health (NIA/NIH) Grant U01 AG016976. NACC data are contributed by the NIA-funded ADCs: National Science Foundation; P30 AG019610 (PI Eric Reiman, MD), P30 AG013846 (PI Neil Kowall, MD), P30 AG062428-01 (PI James Leverenz, MD), P50 AG008702 (PI Scott Small, MD), P50 AG025688 (PI Allan Levey, MD, PhD), P50 AG047266 (PI Todd Golde, MD, PhD), P30 AG010133 (PI Andrew Saykin, PsyD), P50 AG005146 (PI Marilyn Albert, PhD), P30 AG062421-01 (PI Bradley Hyman, MD, PhD), P30 AG062422-01 (PI Ronald Petersen, MD, PhD), P50 AG005138 (PI Mary Sano, PhD), P30 AG008051 (PI Thomas Wisniewski, MD), P30 AG013854 (PI Robert Vassar, PhD), P30 AG008017 (PI Jeffrey Kaye, MD), P30 AG010161 (PI David Bennett, MD), P50 AG047366 (PI Victor Henderson, MD, MS), P30 AG010129 (PI Charles DeCarli, MD), P50 AG016573 (PI Frank LaFerla, PhD), P30 AG062429-01(PI James Brewer, MD, PhD), P50 AG023501 (PI Bruce Miller, MD), P30 AG035982 (PI Russell Swerdlow, MD), P30 AG028383 (PI Linda Van Eldik, PhD), P30 AG053760 (PI Henry Paul-son, MD, PhD), P30 AG010124 (PI John Trojanowski, MD, PhD), P50 AG005133 (PI Oscar Lopez, MD), P50 AG005142 (PI Helena Chui, MD), P30 AG012300 (PI Roger Rosenberg, MD), P30 AG049638 (PI Suzanne Craft, PhD), P50 AG005136 (PI Thomas Grabowski, MD), P30 AG062715-01 (PI Sanjay Asthana, MD, FRCP), P50 AG005681 (PI John Morris, MD), and P50 AG047270 (PI Stephen Strittmat-ter, MD, PhD). This work was supported in part by the National Institutes of Health/National National Institute on Aging NIA/NIH (AG061253, AG058752, AG032306, AG017586, AG054519), including the Advancing Research & Treatment for Frontotemporal Lobar Degeneration (ARTFL: (U54 NS092089)) and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS: (U01 AG045390)) programs, which are now combined into the ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration ALLFTD (U19 AG063911) program. This work was also supported in part by the Larry L. Hillblom Foundation (2018-A-0-FEL, 2017-A-004-FEL). Funding Information: National National Institute on Aging/National Institutes of Health, Grant/Award Numbers: AG061253, AG058752, AG032306, AG017586, AG054519, U01 AG016976; Advancing Research & Treatment for Frontotemporal Lobar Degeneration, Grant/Award Number: U54 NS092089; Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects, Grant/Award Number: U01 AG045390; ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration ALLFTD, Grant/Award Number: U19 AG063911; Larry L. Hillblom Foundation, Grant/Award Numbers: 2018-A-0-FEL, 2017-A-004-FEL; National Science Foundation, Grant/Award Numbers: P30 AG019610, P30 AG013846, P30 AG062428-01, P50 AG008702, P50 AG025688, P50 AG047266, P30 AG010133, P50 AG005146, P30 AG062421-01, P30 AG062422-01, P50 AG005138, P30 AG008051, P30 AG013854, P30 AG008017, P30 AG010161, P50 AG047366, P30 AG010129, P50 AG016573, P30 AG062429-01, P50 AG023501, P30 AG035982, P30 AG028383, P30 AG053760, P30 AG010124, P50 AG005133, P50 AG005142, P30 AG012300, P30 AG049638, P50 AG005136, P30 AG062715-01, P50 AG005681, P50 AG047270 The National Alzheimer?s Coordinating Center (NACC) database is funded by National Institute on Aging/National Institutes of Health (NIA/NIH) Grant U01 AG016976. NACC data are contributed by the NIA-funded ADCs: National Science Foundation; P30 AG019610 (PI Eric Reiman, MD), P30 AG013846 (PI Neil Kowall, MD), P30 AG062428-01 (PI James Leverenz, MD), P50 AG008702 (PI Scott Small, MD), P50 AG025688 (PI Allan Levey, MD, PhD), P50 AG047266 (PI Todd Golde, MD, PhD), P30 AG010133 (PI Andrew Saykin, PsyD), P50 AG005146 (PI Marilyn Albert, PhD), P30 AG062421-01 (PI Bradley Hyman, MD, PhD), P30 AG062422-01 (PI Ronald Petersen, MD, PhD), P50 AG005138 (PI Mary Sano, PhD), P30 AG008051 (PI Thomas Wisniewski, MD), P30 AG013854 (PI Robert Vassar, PhD), P30 AG008017 (PI Jeffrey Kaye, MD), P30 AG010161 (PI David Bennett, MD), P50 AG047366 (PI Victor Henderson, MD, MS), P30 AG010129 (PI Charles DeCarli, MD), P50 AG016573 (PI Frank LaFerla, PhD), P30 AG062429-01(PI James Brewer, MD, PhD), P50 AG023501 (PI Bruce Miller, MD), P30 AG035982 (PI Russell Swerdlow, MD), P30 AG028383 (PI Linda Van Eldik, PhD), P30 AG053760 (PI Henry Paul-son, MD, PhD), P30 AG010124 (PI John Trojanowski, MD, PhD), P50 AG005133 (PI Oscar Lopez, MD), P50 AG005142 (PI Helena Chui, MD), P30 AG012300 (PI Roger Rosenberg, MD), P30 AG049638 (PI Suzanne Craft, PhD), P50 AG005136 (PI Thomas Grabowski, MD), P30 AG062715-01 (PI Sanjay Asthana, MD, FRCP), P50 AG005681 (PI John Morris, MD), and P50 AG047270 (PI Stephen Strittmat-ter, MD, PhD). This work was supported in part by the National Institutes of Health/National National Institute on Aging NIA/NIH (AG061253, AG058752, AG032306, AG017586, AG054519), including the Advancing Research & Treatment for Frontotemporal Lobar Degeneration (ARTFL: (U54 NS092089)) and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS: (U01 AG045390)) programs, which are now combined into the ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration ALLFTD (U19 AG063911) program. This work was also supported in part by the Larry L. Hillblom Foundation (2018-A-0-FEL, 2017-A-004-FEL). Publisher Copyright: © 2021 The Authors. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer’s Association.
PY - 2021
Y1 - 2021
N2 - 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 = 185), 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.
AB - 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 = 185), 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.
KW - Clinical trials
KW - Cognition
KW - Differential diagnosis
KW - Endpoints
KW - FTLD module
KW - Frontotemporal dementia (FTD)
KW - Longitudinal
KW - Neuropsychology
KW - Primary progressive aphasia (PPA)
KW - Speech
UR - http://www.scopus.com/inward/record.url?scp=85108224271&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85108224271&partnerID=8YFLogxK
U2 - 10.1002/dad2.12148
DO - 10.1002/dad2.12148
M3 - Article
C2 - 33665340
AN - SCOPUS:85108224271
SN - 2352-8729
VL - 13
JO - Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
JF - Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
IS - 1
M1 - e12148
ER -