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Cognitive composites for genetic frontotemporal dementia: GENFI-Cog
- Source :
- Alzheimer’s Research & Therapy, Vol 14, Iss 1, Pp 1-12 (2022), Alzheimer's Research and Therapy, 14(1):10. BioMed Central, Alzheimer's research & therapy 14(1), 10 (2022). doi:10.1186/s13195-022-00958-0, Neuroscience Institute Publications, Poos, J M, Moore, K M, Nicholas, J, Russell, L L, Peakman, G, Convery, R S, Jiskoot, L C, van der Ende, E, van den Berg, E, Papma, J M, Seelaar, H, Pijnenburg, Y A L, Moreno, F, Sanchez-Valle, R, Borroni, B, Laforce, R, Masellis, M, Tartaglia, C, Graff, C, Galimberti, D, Rowe, J B, Finger, E, Synofzik, M, Vandenberghe, R, de Mendonça, A, Tiraboschi, P, Santana, I, Ducharme, S, Butler, C, Gerhard, A, Levin, J, Danek, A, Otto, M, le Ber, I, Pasquier, F, van Swieten, J C, Rohrer, J D, on behalf of the Genetic FTD Initiative (GENFI), Bouzigues, A, Rossor, M N, Fox, N C, Warren, J D, Bocchetta, M, Swift, I J, Shafei, R, Heller, C, Todd, E, Cash, D, Woollacott, I, Zetterberg, H, Nelson, A, Guerreiro, R, Bras, J, Thomas, D L, Mead, S, Meeter, L, Panman, J, van Minkelen, R, Barandiaran, M, Indakoetxea, B, Gabilondo, A, Tainta, M, Gorostidi, A, Zulaica, M, Díez, A, Villanua, J, Borrego-Ecija, S, Olives, J, Lladó, A, Balasa, M, Antonell, A, Bargallo, N, Premi, E, Gazzina, S, Gasparotti, R, Archetti, S, Black, S, Mitchell, S, Rogaeva, E, Freedman, M, Keren, R, Tang-Wai, D, Thonberg, H, Öijerstedt, L, Andersson, C, Jelic, V, Arighi, A, Fenoglio, C, Scarpini, E, Fumagalli, G, Cope, T, Timberlake, C, Rittman, T, Shoesmith, C, Bartha, R, Rademakers, R, Wilke, C, Karnarth, H-O, Bender, B, Bruffaerts, R, Vandamme, P, Vandenbulcke, M, Ferreira, C B, Miltenberger, G, Maruta, C, Verdelho, A, Afonso, S N, Taipa, R, Caroppo, P, di Fede, G, Giaccone, G, Prioni, S, Redaelli, V, Rossi, G, Duro, D, Almeida, M R, Castelo-Branco, M, Leitão, M J, Tabuas-Pereira, M, Santiago, B, Gauthier, S, Rosa-Neto, P, Veldsman, M, Thompson, P, Langheinrich, T, Prix, C, Hoegen, T, Wlasich, E, Loosli, S, Schonecker, S, Anderl-Straub, S, Lombardi, J, Bargalló, N, Benussi, A, Cantoni, V, Bertoux, M, Bertrand, A, Brice, A, Camuzat, A, Colliot, O, Sayah, S, Funkiewiez, A, Rinaldi, D, Lombardi, G, Nacmias, B, Saracino, D, Bessi, V, Ferrari, C, Cañada, M, Deramecourt, V, Kuchcinski, G, Lebouvier, T, Ourselin, S, Polito, C & Rollin, A 2022, ' Cognitive composites for genetic frontotemporal dementia : GENFI-Cog ', Alzheimer's Research and Therapy, vol. 14, no. 1, 10 . https://doi.org/10.1186/s13195-022-00958-0, Alzheimer's Research & Therapy, Alzheimer's Research and Therapy, 14(1):10. BioMed Central Ltd.
- Publication Year :
- 2022
- Publisher :
- BMC, 2022.
-
Abstract
- Funder: Alzheimer's Research UK<br />Funder: Alzheimer's Society<br />Funder: Brain Research UK<br />Funder: the Wolfson Foundation<br />Funder: NIHR UCL/H Biomedical Research Centre<br />Funder: Leonard Wolfson Experimental Neurology Centre Clinical Research Facility<br />Funder: UK Dementia Research Institute<br />Funder: UK Medical Research Council<br />Funder: Bluefield project<br />Funder: the Association for Frontotemporal Dementias Research Grant 2009<br />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.
- Subjects :
- PROGRESSION
Neuropsychological Tests
Composite score
Genetic FTD Initiative (GENFI)
diagnosis [Frontotemporal Dementia]
Cognition
CRITERIA
Attention
genetics [Frontotemporal Dementia]
11 Medical and Health Sciences
Language
Executive function
Frontotemporal dementia
Memory
Neuropsychology
Social cognition
Humans
Mutation
Prodromal Symptoms
Sample Size
tau Proteins
Frontotemporal Dementia
CARRIERS
Neurology
Psychology
Life Sciences & Biomedicine
CLINICAL-TRIALS
RC321-571
medicine.medical_specialty
Cognitive Neuroscience
Clinical Neurology
genetics [Mutation]
Neurosciences. Biological psychiatry. Neuropsychiatry
Physical medicine and rehabilitation
Cog
mental disorders
medicine
ddc:610
RC346-429
Science & Technology
Research
Neurosciences
medicine.disease
genetics [tau Proteins]
Neurosciences & Neurology
Neurology (clinical)
Neurology. Diseases of the nervous system
Subjects
Details
- Language :
- English
- ISSN :
- 17589193
- Volume :
- 14
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Alzheimer’s Research & Therapy
- Accession number :
- edsair.doi.dedup.....862c5aed77b8ac49fd52b3edf846be88