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Prescreening for European Prevention of Alzheimer Dementia (EPAD) trial-ready cohort: impact of AD risk factors and recruitment settings

BACKGROUND: Recruitment is often a bottleneck in secondary prevention trials in Alzheimer disease (AD). Furthermore, screen-failure rates in these trials are typically high due to relatively low prevalence of AD pathology in individuals without dementia, especially among cognitively unimpaired. Pres...

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Autores principales: Vermunt, Lisa, Muniz-Terrera, Graciela, ter Meulen, Lea, Veal, Colin, Blennow, Kaj, Campbell, Archie, Carrié, Isabelle, Delrieu, Julien, Fauria, Karine, Huesa Rodríguez, Gema, Ingala, Silvia, Jenkins, Natalie, Molinuevo, José Luis, Ousset, Pierre-Jean, Porteous, David, Prins, Niels D., Solomon, Alina, Tom, Brian D., Zetterberg, Henrik, Zwan, Marissa, Ritchie, Craig W., Scheltens, Philip, Luscan, Gerald, Brookes, Anthony J., Visser, Pieter Jelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945608/
https://www.ncbi.nlm.nih.gov/pubmed/31907067
http://dx.doi.org/10.1186/s13195-019-0576-y
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author Vermunt, Lisa
Muniz-Terrera, Graciela
ter Meulen, Lea
Veal, Colin
Blennow, Kaj
Campbell, Archie
Carrié, Isabelle
Delrieu, Julien
Fauria, Karine
Huesa Rodríguez, Gema
Ingala, Silvia
Jenkins, Natalie
Molinuevo, José Luis
Ousset, Pierre-Jean
Porteous, David
Prins, Niels D.
Solomon, Alina
Tom, Brian D.
Zetterberg, Henrik
Zwan, Marissa
Ritchie, Craig W.
Scheltens, Philip
Luscan, Gerald
Brookes, Anthony J.
Visser, Pieter Jelle
author_facet Vermunt, Lisa
Muniz-Terrera, Graciela
ter Meulen, Lea
Veal, Colin
Blennow, Kaj
Campbell, Archie
Carrié, Isabelle
Delrieu, Julien
Fauria, Karine
Huesa Rodríguez, Gema
Ingala, Silvia
Jenkins, Natalie
Molinuevo, José Luis
Ousset, Pierre-Jean
Porteous, David
Prins, Niels D.
Solomon, Alina
Tom, Brian D.
Zetterberg, Henrik
Zwan, Marissa
Ritchie, Craig W.
Scheltens, Philip
Luscan, Gerald
Brookes, Anthony J.
Visser, Pieter Jelle
author_sort Vermunt, Lisa
collection PubMed
description BACKGROUND: Recruitment is often a bottleneck in secondary prevention trials in Alzheimer disease (AD). Furthermore, screen-failure rates in these trials are typically high due to relatively low prevalence of AD pathology in individuals without dementia, especially among cognitively unimpaired. Prescreening on AD risk factors may facilitate recruitment, but the efficiency will depend on how these factors link to participation rates and AD pathology. We investigated whether common AD-related factors predict trial-ready cohort participation and amyloid status across different prescreen settings. METHODS: We monitored the prescreening in four cohorts linked to the European Prevention of Alzheimer Dementia (EPAD) Registry (n = 16,877; mean ± SD age = 64 ± 8 years). These included a clinical cohort, a research in-person cohort, a research online cohort, and a population-based cohort. Individuals were asked to participate in the EPAD longitudinal cohort study (EPAD-LCS), which serves as a trial-ready cohort for secondary prevention trials. Amyloid positivity was measured in cerebrospinal fluid as part of the EPAD-LCS assessment. We calculated participation rates and numbers needed to prescreen (NNPS) per participant that was amyloid-positive. We tested if age, sex, education level, APOE status, family history for dementia, memory complaints or memory scores, previously collected in these cohorts, could predict participation and amyloid status. RESULTS: A total of 2595 participants were contacted for participation in the EPAD-LCS. Participation rates varied by setting between 3 and 59%. The NNPS were 6.9 (clinical cohort), 7.5 (research in-person cohort), 8.4 (research online cohort), and 88.5 (population-based cohort). Participation in the EPAD-LCS (n = 413 (16%)) was associated with lower age (odds ratio (OR) age = 0.97 [0.95–0.99]), high education (OR = 1.64 [1.23–2.17]), male sex (OR = 1.56 [1.19–2.04]), and positive family history of dementia (OR = 1.66 [1.19–2.31]). Among participants in the EPAD-LCS, amyloid positivity (33%) was associated with higher age (OR = 1.06 [1.02–1.10]) and APOE ɛ4 allele carriership (OR = 2.99 [1.81–4.94]). These results were similar across prescreen settings. CONCLUSIONS: Numbers needed to prescreen varied greatly between settings. Understanding how common AD risk factors link to study participation and amyloid positivity is informative for recruitment strategy of studies on secondary prevention of AD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13195-019-0576-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-69456082020-01-07 Prescreening for European Prevention of Alzheimer Dementia (EPAD) trial-ready cohort: impact of AD risk factors and recruitment settings Vermunt, Lisa Muniz-Terrera, Graciela ter Meulen, Lea Veal, Colin Blennow, Kaj Campbell, Archie Carrié, Isabelle Delrieu, Julien Fauria, Karine Huesa Rodríguez, Gema Ingala, Silvia Jenkins, Natalie Molinuevo, José Luis Ousset, Pierre-Jean Porteous, David Prins, Niels D. Solomon, Alina Tom, Brian D. Zetterberg, Henrik Zwan, Marissa Ritchie, Craig W. Scheltens, Philip Luscan, Gerald Brookes, Anthony J. Visser, Pieter Jelle Alzheimers Res Ther Research BACKGROUND: Recruitment is often a bottleneck in secondary prevention trials in Alzheimer disease (AD). Furthermore, screen-failure rates in these trials are typically high due to relatively low prevalence of AD pathology in individuals without dementia, especially among cognitively unimpaired. Prescreening on AD risk factors may facilitate recruitment, but the efficiency will depend on how these factors link to participation rates and AD pathology. We investigated whether common AD-related factors predict trial-ready cohort participation and amyloid status across different prescreen settings. METHODS: We monitored the prescreening in four cohorts linked to the European Prevention of Alzheimer Dementia (EPAD) Registry (n = 16,877; mean ± SD age = 64 ± 8 years). These included a clinical cohort, a research in-person cohort, a research online cohort, and a population-based cohort. Individuals were asked to participate in the EPAD longitudinal cohort study (EPAD-LCS), which serves as a trial-ready cohort for secondary prevention trials. Amyloid positivity was measured in cerebrospinal fluid as part of the EPAD-LCS assessment. We calculated participation rates and numbers needed to prescreen (NNPS) per participant that was amyloid-positive. We tested if age, sex, education level, APOE status, family history for dementia, memory complaints or memory scores, previously collected in these cohorts, could predict participation and amyloid status. RESULTS: A total of 2595 participants were contacted for participation in the EPAD-LCS. Participation rates varied by setting between 3 and 59%. The NNPS were 6.9 (clinical cohort), 7.5 (research in-person cohort), 8.4 (research online cohort), and 88.5 (population-based cohort). Participation in the EPAD-LCS (n = 413 (16%)) was associated with lower age (odds ratio (OR) age = 0.97 [0.95–0.99]), high education (OR = 1.64 [1.23–2.17]), male sex (OR = 1.56 [1.19–2.04]), and positive family history of dementia (OR = 1.66 [1.19–2.31]). Among participants in the EPAD-LCS, amyloid positivity (33%) was associated with higher age (OR = 1.06 [1.02–1.10]) and APOE ɛ4 allele carriership (OR = 2.99 [1.81–4.94]). These results were similar across prescreen settings. CONCLUSIONS: Numbers needed to prescreen varied greatly between settings. Understanding how common AD risk factors link to study participation and amyloid positivity is informative for recruitment strategy of studies on secondary prevention of AD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13195-019-0576-y) contains supplementary material, which is available to authorized users. BioMed Central 2020-01-06 /pmc/articles/PMC6945608/ /pubmed/31907067 http://dx.doi.org/10.1186/s13195-019-0576-y Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Vermunt, Lisa
Muniz-Terrera, Graciela
ter Meulen, Lea
Veal, Colin
Blennow, Kaj
Campbell, Archie
Carrié, Isabelle
Delrieu, Julien
Fauria, Karine
Huesa Rodríguez, Gema
Ingala, Silvia
Jenkins, Natalie
Molinuevo, José Luis
Ousset, Pierre-Jean
Porteous, David
Prins, Niels D.
Solomon, Alina
Tom, Brian D.
Zetterberg, Henrik
Zwan, Marissa
Ritchie, Craig W.
Scheltens, Philip
Luscan, Gerald
Brookes, Anthony J.
Visser, Pieter Jelle
Prescreening for European Prevention of Alzheimer Dementia (EPAD) trial-ready cohort: impact of AD risk factors and recruitment settings
title Prescreening for European Prevention of Alzheimer Dementia (EPAD) trial-ready cohort: impact of AD risk factors and recruitment settings
title_full Prescreening for European Prevention of Alzheimer Dementia (EPAD) trial-ready cohort: impact of AD risk factors and recruitment settings
title_fullStr Prescreening for European Prevention of Alzheimer Dementia (EPAD) trial-ready cohort: impact of AD risk factors and recruitment settings
title_full_unstemmed Prescreening for European Prevention of Alzheimer Dementia (EPAD) trial-ready cohort: impact of AD risk factors and recruitment settings
title_short Prescreening for European Prevention of Alzheimer Dementia (EPAD) trial-ready cohort: impact of AD risk factors and recruitment settings
title_sort prescreening for european prevention of alzheimer dementia (epad) trial-ready cohort: impact of ad risk factors and recruitment settings
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945608/
https://www.ncbi.nlm.nih.gov/pubmed/31907067
http://dx.doi.org/10.1186/s13195-019-0576-y
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