Cognitive composites for genetic frontotemporal dementia: GENFI-Cog
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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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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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799134091394678784 |