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Cognitive phenotypes in late-onset epilepsy: results from the atherosclerosis risk in communities study

INTRODUCTION: Cognitive phenotyping is a widely used approach to characterize the heterogeneity of deficits in patients with a range of neurological disorders but has only recently been applied to patients with epilepsy. In this study, we identify cognitive phenotypes in older adults with late-onset...

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Autores principales: Reyes, Anny, Schneider, Andrea L. C., Kucharska-Newton, Anna M., Gottesman, Rebecca F., Johnson, Emily L., McDonald, Carrie R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513940/
https://www.ncbi.nlm.nih.gov/pubmed/37745655
http://dx.doi.org/10.3389/fneur.2023.1230368
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author Reyes, Anny
Schneider, Andrea L. C.
Kucharska-Newton, Anna M.
Gottesman, Rebecca F.
Johnson, Emily L.
McDonald, Carrie R.
author_facet Reyes, Anny
Schneider, Andrea L. C.
Kucharska-Newton, Anna M.
Gottesman, Rebecca F.
Johnson, Emily L.
McDonald, Carrie R.
author_sort Reyes, Anny
collection PubMed
description INTRODUCTION: Cognitive phenotyping is a widely used approach to characterize the heterogeneity of deficits in patients with a range of neurological disorders but has only recently been applied to patients with epilepsy. In this study, we identify cognitive phenotypes in older adults with late-onset epilepsy (LOE) and examine their demographic, clinical, and vascular profiles. Further, we examine whether specific phenotypes pose an increased risk for progressive cognitive decline. METHODS: Participants were part of the Atherosclerosis Risk in Communities Study (ARIC), a prospective longitudinal community-based cohort study of 15,792 individuals initially enrolled in 1987–1989. LOE was identified from linked Centers for Medicare and Medicaid Services claims data. Ninety-one participants with LOE completed comprehensive testing either prior to or after seizure onset as part of a larger cohort in the ARIC Neurocognitive Study in either 2011–2013 or 2016–2017 (follow-up mean = 4.9 years). Cognitive phenotypes in individuals with LOE were derived by calculating test-level impairments for each participant (i.e., ≤1 SD below cognitively normal participants on measures of language, memory, and executive function/processing speed); and then assigning participants to phenotypes if they were impaired on at least two tests within a domain. The total number of impaired domains was used to determine the cognitive phenotypes (i.e., Minimal/No Impairment, Single Domain, or Multidomain). RESULTS: At our baseline (Visit 5), 36.3% met criteria for Minimal/No Impairment, 35% for Single Domain Impairment (with executive functioning/ processing speed impaired in 53.6%), and 28.7% for Multidomain Impairment. The Minimal/No Impairment group had higher education and occupational complexity. There were no differences in clinical or vascular risk factors across phenotypes. Of those participants with longitudinal data (Visit 6; n = 24), 62.5% declined (i.e., progressed to a more impaired phenotype) and 37.5% remained stable. Those who remained stable were more highly educated compared to those that declined. DISCUSSION: Our results demonstrate the presence of identifiable cognitive phenotypes in older adults with LOE. These results also highlight the high prevalence of cognitive impairments across domains, with deficits in executive function/processing speed the most common isolated impairment. We also demonstrate that higher education was associated with a Minimal/No Impairment phenotype and lower risk for cognitive decline over time.
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spelling pubmed-105139402023-09-23 Cognitive phenotypes in late-onset epilepsy: results from the atherosclerosis risk in communities study Reyes, Anny Schneider, Andrea L. C. Kucharska-Newton, Anna M. Gottesman, Rebecca F. Johnson, Emily L. McDonald, Carrie R. Front Neurol Neurology INTRODUCTION: Cognitive phenotyping is a widely used approach to characterize the heterogeneity of deficits in patients with a range of neurological disorders but has only recently been applied to patients with epilepsy. In this study, we identify cognitive phenotypes in older adults with late-onset epilepsy (LOE) and examine their demographic, clinical, and vascular profiles. Further, we examine whether specific phenotypes pose an increased risk for progressive cognitive decline. METHODS: Participants were part of the Atherosclerosis Risk in Communities Study (ARIC), a prospective longitudinal community-based cohort study of 15,792 individuals initially enrolled in 1987–1989. LOE was identified from linked Centers for Medicare and Medicaid Services claims data. Ninety-one participants with LOE completed comprehensive testing either prior to or after seizure onset as part of a larger cohort in the ARIC Neurocognitive Study in either 2011–2013 or 2016–2017 (follow-up mean = 4.9 years). Cognitive phenotypes in individuals with LOE were derived by calculating test-level impairments for each participant (i.e., ≤1 SD below cognitively normal participants on measures of language, memory, and executive function/processing speed); and then assigning participants to phenotypes if they were impaired on at least two tests within a domain. The total number of impaired domains was used to determine the cognitive phenotypes (i.e., Minimal/No Impairment, Single Domain, or Multidomain). RESULTS: At our baseline (Visit 5), 36.3% met criteria for Minimal/No Impairment, 35% for Single Domain Impairment (with executive functioning/ processing speed impaired in 53.6%), and 28.7% for Multidomain Impairment. The Minimal/No Impairment group had higher education and occupational complexity. There were no differences in clinical or vascular risk factors across phenotypes. Of those participants with longitudinal data (Visit 6; n = 24), 62.5% declined (i.e., progressed to a more impaired phenotype) and 37.5% remained stable. Those who remained stable were more highly educated compared to those that declined. DISCUSSION: Our results demonstrate the presence of identifiable cognitive phenotypes in older adults with LOE. These results also highlight the high prevalence of cognitive impairments across domains, with deficits in executive function/processing speed the most common isolated impairment. We also demonstrate that higher education was associated with a Minimal/No Impairment phenotype and lower risk for cognitive decline over time. Frontiers Media S.A. 2023-08-24 /pmc/articles/PMC10513940/ /pubmed/37745655 http://dx.doi.org/10.3389/fneur.2023.1230368 Text en Copyright © 2023 Reyes, Schneider, Kucharska-Newton, Gottesman, Johnson and McDonald. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Reyes, Anny
Schneider, Andrea L. C.
Kucharska-Newton, Anna M.
Gottesman, Rebecca F.
Johnson, Emily L.
McDonald, Carrie R.
Cognitive phenotypes in late-onset epilepsy: results from the atherosclerosis risk in communities study
title Cognitive phenotypes in late-onset epilepsy: results from the atherosclerosis risk in communities study
title_full Cognitive phenotypes in late-onset epilepsy: results from the atherosclerosis risk in communities study
title_fullStr Cognitive phenotypes in late-onset epilepsy: results from the atherosclerosis risk in communities study
title_full_unstemmed Cognitive phenotypes in late-onset epilepsy: results from the atherosclerosis risk in communities study
title_short Cognitive phenotypes in late-onset epilepsy: results from the atherosclerosis risk in communities study
title_sort cognitive phenotypes in late-onset epilepsy: results from the atherosclerosis risk in communities study
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513940/
https://www.ncbi.nlm.nih.gov/pubmed/37745655
http://dx.doi.org/10.3389/fneur.2023.1230368
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