Cognitive composites for genetic frontotemporal dementia: GENFI-Cog

dc.contributor.authorPoos, Jackie M.
dc.contributor.authorMoore, Katrina M.
dc.contributor.authorNicholas, Jennifer
dc.contributor.authorRussell, Lucy L.
dc.contributor.authorPeakman, Georgia
dc.contributor.authorConvery, Rhian S.
dc.contributor.authorJiskoot, Lize C.
dc.contributor.authorvan der Ende, Emma
dc.contributor.authorvan den Berg, Esther
dc.contributor.authorPapma, Janne M.
dc.contributor.authorSeelaar, Harro
dc.contributor.authorPijnenburg, Yolande A. L.
dc.contributor.authorMoreno, Fermín
dc.contributor.authorSánchez del Valle Díaz, Raquel
dc.contributor.authorBorroni, Barbara
dc.contributor.authorLaforce, Robert
dc.contributor.authorMasellis, Mario
dc.contributor.authorTartaglia, Maria Carmela
dc.contributor.authorGraff, Caroline
dc.contributor.authorGalimberti, Daniela
dc.contributor.authorRowe, James B.
dc.contributor.authorFinger, Elizabeth
dc.contributor.authorSynofzik, Matthis
dc.contributor.authorVandenberghe, Rik
dc.contributor.authorMendonça, Alexandre de
dc.contributor.authorTiraboschi, Pietro
dc.contributor.authorSantana, Isabel
dc.contributor.authorDucharme, Simon
dc.contributor.authorButler, Chris R.
dc.contributor.authorGerhard, Alexander
dc.contributor.authorLevin, Johannes
dc.contributor.authorDanek, Adrian
dc.contributor.authorOtto, Markus
dc.contributor.authorLe Ber, Isabelle
dc.contributor.authorPasquier, Florence
dc.contributor.authorvan Swieten, John C.
dc.contributor.authorRohrer, Jonathan D.
dc.date.accessioned2024-02-02T14:18:56Z
dc.date.available2024-02-02T14:18:56Z
dc.date.issued2022-01-19
dc.date.updated2024-02-02T14:18:56Z
dc.description.abstractBackground: 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.
dc.format.extent12 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec737816
dc.identifier.idimarina9296712
dc.identifier.issn1758-9193
dc.identifier.pmid35045872
dc.identifier.urihttps://hdl.handle.net/2445/207031
dc.language.isoeng
dc.publisherBioMed Central
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1186/s13195-022-00958-0
dc.relation.ispartofAlzheimers Research & Therapy, 2022, vol. 14, num.1
dc.relation.urihttps://doi.org/10.1186/s13195-022-00958-0
dc.rightscc-by (c) Poos, J.M. et al., 2022
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceArticles publicats en revistes (Medicina)
dc.subject.classificationAtenció
dc.subject.classificationCognició
dc.subject.classificationDemència
dc.subject.classificationNeuropsicologia
dc.subject.otherAttention
dc.subject.otherCognition
dc.subject.otherDementia
dc.subject.otherNeuropsychology
dc.titleCognitive composites for genetic frontotemporal dementia: GENFI-Cog
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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