Better prognostic accuracy in younger mild cognitive impairment patients with more years of education
Abstract Introduction Age and years of education influence the risk of dementia and may impact the prognostic accuracy of mild cognitive impairment subtypes. Methods Memory clinic patients without dementia (N = 358, age 64.0 ± 7.9) were stratified into four groups based on years of age (≤64 and ≥65)...
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Format: | Article |
Language: | English |
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Wiley
2018-01-01
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Series: | Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring |
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Online Access: | https://doi.org/10.1016/j.dadm.2018.05.001 |
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author | Mattias Göthlin Marie Eckerström Sindre Rolstad Petronella Kettunen Anders Wallin |
author_facet | Mattias Göthlin Marie Eckerström Sindre Rolstad Petronella Kettunen Anders Wallin |
author_sort | Mattias Göthlin |
collection | DOAJ |
description | Abstract Introduction Age and years of education influence the risk of dementia and may impact the prognostic accuracy of mild cognitive impairment subtypes. Methods Memory clinic patients without dementia (N = 358, age 64.0 ± 7.9) were stratified into four groups based on years of age (≤64 and ≥65) and education (≤12 and ≥13), examined with a neuropsychological test battery at baseline and followed up after 2 years. Results The prognostic accuracy of amnestic multi‐domain mild cognitive impairment for dementia was highest in younger patients with more years of education and lowest in older patients with fewer years of education. Conversely, conversion rates to dementia were lowest in younger patients with more years of education and highest in older patients with fewer years of education. Discussion Mild cognitive impairment subtypes and demographic information should be combined to increase the accuracy of prognoses for dementia. |
first_indexed | 2024-04-12T08:03:39Z |
format | Article |
id | doaj.art-978eb1de7e954597b41dcbca5b0fd501 |
institution | Directory Open Access Journal |
issn | 2352-8729 |
language | English |
last_indexed | 2024-04-12T08:03:39Z |
publishDate | 2018-01-01 |
publisher | Wiley |
record_format | Article |
series | Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring |
spelling | doaj.art-978eb1de7e954597b41dcbca5b0fd5012022-12-22T03:41:14ZengWileyAlzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring2352-87292018-01-0110140241210.1016/j.dadm.2018.05.001Better prognostic accuracy in younger mild cognitive impairment patients with more years of educationMattias Göthlin0Marie Eckerström1Sindre Rolstad2Petronella Kettunen3Anders Wallin4Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgMölndalSwedenDepartment of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgMölndalSwedenDepartment of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgMölndalSwedenDepartment of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgMölndalSwedenDepartment of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgMölndalSwedenAbstract Introduction Age and years of education influence the risk of dementia and may impact the prognostic accuracy of mild cognitive impairment subtypes. Methods Memory clinic patients without dementia (N = 358, age 64.0 ± 7.9) were stratified into four groups based on years of age (≤64 and ≥65) and education (≤12 and ≥13), examined with a neuropsychological test battery at baseline and followed up after 2 years. Results The prognostic accuracy of amnestic multi‐domain mild cognitive impairment for dementia was highest in younger patients with more years of education and lowest in older patients with fewer years of education. Conversely, conversion rates to dementia were lowest in younger patients with more years of education and highest in older patients with fewer years of education. Discussion Mild cognitive impairment subtypes and demographic information should be combined to increase the accuracy of prognoses for dementia.https://doi.org/10.1016/j.dadm.2018.05.001Memory clinicMild cognitive impairmentDementiaAlzheimer's diseaseNeuropsychologyDiagnosis |
spellingShingle | Mattias Göthlin Marie Eckerström Sindre Rolstad Petronella Kettunen Anders Wallin Better prognostic accuracy in younger mild cognitive impairment patients with more years of education Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring Memory clinic Mild cognitive impairment Dementia Alzheimer's disease Neuropsychology Diagnosis |
title | Better prognostic accuracy in younger mild cognitive impairment patients with more years of education |
title_full | Better prognostic accuracy in younger mild cognitive impairment patients with more years of education |
title_fullStr | Better prognostic accuracy in younger mild cognitive impairment patients with more years of education |
title_full_unstemmed | Better prognostic accuracy in younger mild cognitive impairment patients with more years of education |
title_short | Better prognostic accuracy in younger mild cognitive impairment patients with more years of education |
title_sort | better prognostic accuracy in younger mild cognitive impairment patients with more years of education |
topic | Memory clinic Mild cognitive impairment Dementia Alzheimer's disease Neuropsychology Diagnosis |
url | https://doi.org/10.1016/j.dadm.2018.05.001 |
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