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author 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
Sanchez-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_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
Sanchez-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_sort Poos, Jackie M.
collection PubMed
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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-022-00958-0.
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spelling pubmed-87722272022-01-20 Cognitive composites for genetic frontotemporal dementia: GENFI-Cog 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 Sanchez-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. Alzheimers Res Ther Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-022-00958-0. BioMed Central 2022-01-19 /pmc/articles/PMC8772227/ /pubmed/35045872 http://dx.doi.org/10.1186/s13195-022-00958-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
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
Sanchez-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.
Cognitive composites for genetic frontotemporal dementia: GENFI-Cog
title 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_short Cognitive composites for genetic frontotemporal dementia: GENFI-Cog
title_sort cognitive composites for genetic frontotemporal dementia: genfi-cog
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772227/
https://www.ncbi.nlm.nih.gov/pubmed/35045872
http://dx.doi.org/10.1186/s13195-022-00958-0
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