Cognitive composites for genetic frontotemporal dementia: GENFI-Cog

Detalhes bibliográficos
Autor(a) principal: Poos, Jackie M
Data de Publicação: 2022
Outros Autores: Moore, Katrina M, Nicholas, Jennifer, Russell, Lucy L, Peakman, Georgia, Convery, Rhian S, Jiskoot, Lize C, van der Ende, Emma, van den Berg, Esther, Papma, Janne M, Seelaar, Harro, Pijnenburg, Yolande A L, Moreno, Fermin, Sánchez-Valle, Raquel, Borroni, Barbara, Laforce, Robert, Masellis, Mario, Tartaglia, Carmela, Graff, Caroline, Galimberti, Daniela, Rowe, James B, Finger, Elizabeth, Synofzik, Matthis, Vandenberghe, Rik, de Mendonça, Alexandre, Tiraboschi, Pietro, Santana, Isabel, Ducharme, Simon, Butler, Chris, Gerhard, Alexander, Levin, Johannes, Danek, Adrian, Otto, Markus, Le Ber, Isabel, Pasquier, Florence, van Swieten, John C, Rohrer, Jonathan D.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/102835
https://doi.org/10.1186/s13195-022-00958-0
Resumo: Background: Clinical endpoints for upcoming therapeutic trials in frontotemporal dementia (FTD) are increasingly urgent. Cognitive composite scores are often used as endpoints but are lacking in genetic FTD. We aimed to create cognitive composite scores for genetic frontotemporal dementia (FTD) as well as recommendations for recruitment and duration in clinical trial design. Methods: A standardized neuropsychological test battery covering six cognitive domains was completed by 69 C9orf72, 41 GRN, and 28 MAPT mutation carriers with CDR® plus NACC-FTLD ≥ 0.5 and 275 controls. Logistic regression was used to identify the combination of tests that distinguished best between each mutation carrier group and controls. The composite scores were calculated from the weighted averages of test scores in the models based on the regression coefficients. Sample size estimates were calculated for individual cognitive tests and composites in a theoretical trial aimed at preventing progression from a prodromal stage (CDR® plus NACC-FTLD 0.5) to a fully symptomatic stage (CDR® plus NACC-FTLD ≥ 1). Time-to-event analysis was performed to determine how quickly mutation carriers progressed from CDR® plus NACC-FTLD = 0.5 to ≥ 1 (and therefore how long a trial would need to be). Results: The results from the logistic regression analyses resulted in different composite scores for each mutation carrier group (i.e. C9orf72, GRN, and MAPT). The estimated sample size to detect a treatment effect was lower for composite scores than for most individual tests. A Kaplan-Meier curve showed that after 3 years, ~ 50% of individuals had converted from CDR® plus NACC-FTLD 0.5 to ≥ 1, which means that the estimated effect size needs to be halved in sample size calculations as only half of the mutation carriers would be expected to progress from CDR® plus NACC FTLD 0.5 to ≥ 1 without treatment over that time period. Discussion: We created gene-specific cognitive composite scores for C9orf72, GRN, and MAPT mutation carriers, which resulted in substantially lower estimated sample sizes to detect a treatment effect than the individual cognitive tests. The GENFI-Cog composites have potential as cognitive endpoints for upcoming clinical trials. The results from this study provide recommendations for estimating sample size and trial duration.
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spelling Cognitive composites for genetic frontotemporal dementia: GENFI-CogFrontotemporal dementiaCognitionNeuropsychologyComposite scoreLanguageAttentionExecutive functionMemorySocial cognitionHumansMutationNeuropsychological TestsProdromal SymptomsSample Sizetau ProteinsFrontotemporal DementiaBackground: Clinical endpoints for upcoming therapeutic trials in frontotemporal dementia (FTD) are increasingly urgent. Cognitive composite scores are often used as endpoints but are lacking in genetic FTD. We aimed to create cognitive composite scores for genetic frontotemporal dementia (FTD) as well as recommendations for recruitment and duration in clinical trial design. Methods: A standardized neuropsychological test battery covering six cognitive domains was completed by 69 C9orf72, 41 GRN, and 28 MAPT mutation carriers with CDR® plus NACC-FTLD ≥ 0.5 and 275 controls. Logistic regression was used to identify the combination of tests that distinguished best between each mutation carrier group and controls. The composite scores were calculated from the weighted averages of test scores in the models based on the regression coefficients. Sample size estimates were calculated for individual cognitive tests and composites in a theoretical trial aimed at preventing progression from a prodromal stage (CDR® plus NACC-FTLD 0.5) to a fully symptomatic stage (CDR® plus NACC-FTLD ≥ 1). Time-to-event analysis was performed to determine how quickly mutation carriers progressed from CDR® plus NACC-FTLD = 0.5 to ≥ 1 (and therefore how long a trial would need to be). Results: The results from the logistic regression analyses resulted in different composite scores for each mutation carrier group (i.e. C9orf72, GRN, and MAPT). The estimated sample size to detect a treatment effect was lower for composite scores than for most individual tests. A Kaplan-Meier curve showed that after 3 years, ~ 50% of individuals had converted from CDR® plus NACC-FTLD 0.5 to ≥ 1, which means that the estimated effect size needs to be halved in sample size calculations as only half of the mutation carriers would be expected to progress from CDR® plus NACC FTLD 0.5 to ≥ 1 without treatment over that time period. Discussion: We created gene-specific cognitive composite scores for C9orf72, GRN, and MAPT mutation carriers, which resulted in substantially lower estimated sample sizes to detect a treatment effect than the individual cognitive tests. The GENFI-Cog composites have potential as cognitive endpoints for upcoming clinical trials. The results from this study provide recommendations for estimating sample size and trial duration.The Dementia Research Centre is supported by Alzheimer’s Research UK, Alzheimer’s Society, Brain Research UK, and The Wolfson Foundation. This work was supported by the NIHR UCL/H Biomedical Research Centre, the Leonard Wolfson Experimental Neurology Centre (LWENC) Clinical Research Facility, and the UK Dementia Research Institute, which receives its funding from UK DRI Ltd., funded by the UK Medical Research Council, Alzheimer’s Society and Alzheimer’s Research UK. JDR is supported by an MRC Clinician Scientist Fellowship (MR/M008525/1) and has received funding from the NIHR Rare Disease Translational Research Collaboration (BRC149/NS/MH). This work was also supported by the MRC UK GENFI grant (MR/M023664/1), the Bluefield Project, the JPND GENFI-PROX grant (2019-02248), the Dioraphte Foundation [grant numbers 09-02-00], the Association for Frontotemporal Dementias Research Grant 2009, The Netherlands Organization for Scientific Research (NWO) (grant HCMI 056-13-018), ZonMw Memorabel (Deltaplan Dementie, (project numbers 733 050 103 and 733 050 813), and JPND PreFrontAls Consortium (project number 733051042). JM Poos is supported by a fellowship award from Alzheimer Nederland (WE.15-2019.02). This work was conducted using the MRC Dementias Platform UK (MR/L023784/1 and MR/009076/1).2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/102835http://hdl.handle.net/10316/102835https://doi.org/10.1186/s13195-022-00958-0eng1758-9193Poos, Jackie MMoore, Katrina MNicholas, JenniferRussell, Lucy LPeakman, GeorgiaConvery, Rhian SJiskoot, Lize Cvan der Ende, Emmavan den Berg, EstherPapma, Janne MSeelaar, HarroPijnenburg, Yolande A LMoreno, FerminSánchez-Valle, RaquelBorroni, BarbaraLaforce, RobertMasellis, MarioTartaglia, CarmelaGraff, CarolineGalimberti, DanielaRowe, James BFinger, ElizabethSynofzik, MatthisVandenberghe, Rikde Mendonça, AlexandreTiraboschi, PietroSantana, IsabelDucharme, SimonButler, ChrisGerhard, AlexanderLevin, JohannesDanek, AdrianOtto, MarkusLe Ber, IsabelPasquier, Florencevan Swieten, John CRohrer, Jonathan D.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-04-05T13:48:54Zoai:estudogeral.uc.pt:10316/102835Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:19:44.882880Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Cognitive composites for genetic frontotemporal dementia: GENFI-Cog
title Cognitive composites for genetic frontotemporal dementia: GENFI-Cog
spellingShingle Cognitive composites for genetic frontotemporal dementia: GENFI-Cog
Poos, Jackie M
Frontotemporal dementia
Cognition
Neuropsychology
Composite score
Language
Attention
Executive function
Memory
Social cognition
Humans
Mutation
Neuropsychological Tests
Prodromal Symptoms
Sample Size
tau Proteins
Frontotemporal Dementia
title_short Cognitive composites for genetic frontotemporal dementia: GENFI-Cog
title_full Cognitive composites for genetic frontotemporal dementia: GENFI-Cog
title_fullStr Cognitive composites for genetic frontotemporal dementia: GENFI-Cog
title_full_unstemmed Cognitive composites for genetic frontotemporal dementia: GENFI-Cog
title_sort Cognitive composites for genetic frontotemporal dementia: GENFI-Cog
author Poos, Jackie M
author_facet Poos, Jackie M
Moore, Katrina M
Nicholas, Jennifer
Russell, Lucy L
Peakman, Georgia
Convery, Rhian S
Jiskoot, Lize C
van der Ende, Emma
van den Berg, Esther
Papma, Janne M
Seelaar, Harro
Pijnenburg, Yolande A L
Moreno, Fermin
Sánchez-Valle, Raquel
Borroni, Barbara
Laforce, Robert
Masellis, Mario
Tartaglia, Carmela
Graff, Caroline
Galimberti, Daniela
Rowe, James B
Finger, Elizabeth
Synofzik, Matthis
Vandenberghe, Rik
de Mendonça, Alexandre
Tiraboschi, Pietro
Santana, Isabel
Ducharme, Simon
Butler, Chris
Gerhard, Alexander
Levin, Johannes
Danek, Adrian
Otto, Markus
Le Ber, Isabel
Pasquier, Florence
van Swieten, John C
Rohrer, Jonathan D.
author_role author
author2 Moore, Katrina M
Nicholas, Jennifer
Russell, Lucy L
Peakman, Georgia
Convery, Rhian S
Jiskoot, Lize C
van der Ende, Emma
van den Berg, Esther
Papma, Janne M
Seelaar, Harro
Pijnenburg, Yolande A L
Moreno, Fermin
Sánchez-Valle, Raquel
Borroni, Barbara
Laforce, Robert
Masellis, Mario
Tartaglia, Carmela
Graff, Caroline
Galimberti, Daniela
Rowe, James B
Finger, Elizabeth
Synofzik, Matthis
Vandenberghe, Rik
de Mendonça, Alexandre
Tiraboschi, Pietro
Santana, Isabel
Ducharme, Simon
Butler, Chris
Gerhard, Alexander
Levin, Johannes
Danek, Adrian
Otto, Markus
Le Ber, Isabel
Pasquier, Florence
van Swieten, John C
Rohrer, Jonathan D.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Poos, Jackie M
Moore, Katrina M
Nicholas, Jennifer
Russell, Lucy L
Peakman, Georgia
Convery, Rhian S
Jiskoot, Lize C
van der Ende, Emma
van den Berg, Esther
Papma, Janne M
Seelaar, Harro
Pijnenburg, Yolande A L
Moreno, Fermin
Sánchez-Valle, Raquel
Borroni, Barbara
Laforce, Robert
Masellis, Mario
Tartaglia, Carmela
Graff, Caroline
Galimberti, Daniela
Rowe, James B
Finger, Elizabeth
Synofzik, Matthis
Vandenberghe, Rik
de Mendonça, Alexandre
Tiraboschi, Pietro
Santana, Isabel
Ducharme, Simon
Butler, Chris
Gerhard, Alexander
Levin, Johannes
Danek, Adrian
Otto, Markus
Le Ber, Isabel
Pasquier, Florence
van Swieten, John C
Rohrer, Jonathan D.
dc.subject.por.fl_str_mv Frontotemporal dementia
Cognition
Neuropsychology
Composite score
Language
Attention
Executive function
Memory
Social cognition
Humans
Mutation
Neuropsychological Tests
Prodromal Symptoms
Sample Size
tau Proteins
Frontotemporal Dementia
topic Frontotemporal dementia
Cognition
Neuropsychology
Composite score
Language
Attention
Executive function
Memory
Social cognition
Humans
Mutation
Neuropsychological Tests
Prodromal Symptoms
Sample Size
tau Proteins
Frontotemporal Dementia
description Background: Clinical endpoints for upcoming therapeutic trials in frontotemporal dementia (FTD) are increasingly urgent. Cognitive composite scores are often used as endpoints but are lacking in genetic FTD. We aimed to create cognitive composite scores for genetic frontotemporal dementia (FTD) as well as recommendations for recruitment and duration in clinical trial design. Methods: A standardized neuropsychological test battery covering six cognitive domains was completed by 69 C9orf72, 41 GRN, and 28 MAPT mutation carriers with CDR® plus NACC-FTLD ≥ 0.5 and 275 controls. Logistic regression was used to identify the combination of tests that distinguished best between each mutation carrier group and controls. The composite scores were calculated from the weighted averages of test scores in the models based on the regression coefficients. Sample size estimates were calculated for individual cognitive tests and composites in a theoretical trial aimed at preventing progression from a prodromal stage (CDR® plus NACC-FTLD 0.5) to a fully symptomatic stage (CDR® plus NACC-FTLD ≥ 1). Time-to-event analysis was performed to determine how quickly mutation carriers progressed from CDR® plus NACC-FTLD = 0.5 to ≥ 1 (and therefore how long a trial would need to be). Results: The results from the logistic regression analyses resulted in different composite scores for each mutation carrier group (i.e. C9orf72, GRN, and MAPT). The estimated sample size to detect a treatment effect was lower for composite scores than for most individual tests. A Kaplan-Meier curve showed that after 3 years, ~ 50% of individuals had converted from CDR® plus NACC-FTLD 0.5 to ≥ 1, which means that the estimated effect size needs to be halved in sample size calculations as only half of the mutation carriers would be expected to progress from CDR® plus NACC FTLD 0.5 to ≥ 1 without treatment over that time period. Discussion: We created gene-specific cognitive composite scores for C9orf72, GRN, and MAPT mutation carriers, which resulted in substantially lower estimated sample sizes to detect a treatment effect than the individual cognitive tests. The GENFI-Cog composites have potential as cognitive endpoints for upcoming clinical trials. The results from this study provide recommendations for estimating sample size and trial duration.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/102835
http://hdl.handle.net/10316/102835
https://doi.org/10.1186/s13195-022-00958-0
url http://hdl.handle.net/10316/102835
https://doi.org/10.1186/s13195-022-00958-0
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1758-9193
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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