Cited 55 times in

Effects of amyloid and vascular markers on cognitive decline in subcortical vascular dementia

DC Field Value Language
dc.contributor.author김창수-
dc.contributor.author예병석-
dc.contributor.author조한나-
dc.date.accessioned2018-03-26T17:10:39Z-
dc.date.available2018-03-26T17:10:39Z-
dc.date.issued2015-
dc.identifier.issn0028-3878-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/157290-
dc.description.abstractOBJECTIVE: To determine the independent and synergistic effects of amyloid and small vessel disease (SVD) burden on longitudinal cognitive decline in patients with subcortical vascular dementia (SVaD). METHODS: A longitudinal cohort study was conducted involving patients from outpatient clinics of 2 tertiary referral centers. Sixty-one patients with SVaD were prospectively recruited and underwent MRI, 11C-Pittsburgh compound B (PiB) PET at baseline, and a 3-year annual neuropsychological follow-up. Effects of PiB positivity and SVD markers (white matter hyperintensities [WMH], lacunes, and microbleeds) on longitudinal cognitive decline were evaluated using generalized estimation equation after controlling for age, sex, education, APOE4 allele, and follow-up interval. RESULTS: When individual neuropsychological tests were used as outcome measures, PiB positivity was associated with faster cognitive decline in attention, visuospatial, visual memory, and global cognition function. Higher WMH burden was associated with faster cognitive decline in attention, visuospatial, visual recognition memory, and semantic/phonemic fluency function, whereas lacunes and microbleeds had no significant effects. When global dementia rating (Clinical Dementia Rating sum of boxes) was considered as an outcome measure, however, only PiB positivity was associated with faster cognitive decline. Significant interactions between PiB positivity and higher SVD burden were found to affect cognitive decline in semantic word fluency (from WMH burden) and global dementia rating (from microbleed burden). CONCLUSIONS: In SVaD patients, amyloid burden, independently or interactively with SVD, contributed to longitudinal cognitive decline. Amyloid deposition was the strongest poor prognostic factor.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherLippincott Williams & Wilkins-
dc.relation.isPartOfNEUROLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAged-
dc.subject.MESHAged, 80 and over-
dc.subject.MESHAmyloid/metabolism*-
dc.subject.MESHAmyloid beta-Peptides/metabolism*-
dc.subject.MESHCognition Disorders/diagnosis*-
dc.subject.MESHCognition Disorders/metabolism*-
dc.subject.MESHCohort Studies-
dc.subject.MESHDementia, Vascular/diagnosis*-
dc.subject.MESHDementia, Vascular/metabolism*-
dc.subject.MESHFemale-
dc.subject.MESHFollow-Up Studies-
dc.subject.MESHHumans-
dc.subject.MESHLongitudinal Studies-
dc.subject.MESHMagnetic Resonance Imaging/trends-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHProspective Studies-
dc.titleEffects of amyloid and vascular markers on cognitive decline in subcortical vascular dementia-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Preventive Medicine-
dc.contributor.googleauthorByoung Seok Ye-
dc.contributor.googleauthorSang Won Seo-
dc.contributor.googleauthorJung-Hyun Kim-
dc.contributor.googleauthorGeon Ha Kim-
dc.contributor.googleauthorHanna Cho-
dc.contributor.googleauthorYoung Noh-
dc.contributor.googleauthorHee Jin Kim-
dc.contributor.googleauthorCindy W. Yoon-
dc.contributor.googleauthorSook-young Woo-
dc.contributor.googleauthorSook Hui Kim-
dc.contributor.googleauthorHee Kyung Park-
dc.contributor.googleauthorSung Tae Kim-
dc.contributor.googleauthorYearn Seong Choe-
dc.contributor.googleauthorKyung Han Lee-
dc.contributor.googleauthorJae Seung Kim-
dc.contributor.googleauthorSeung Jun Oh-
dc.contributor.googleauthorChangsoo Kim-
dc.contributor.googleauthorMichael Weiner-
dc.contributor.googleauthorJae-Hong Lee-
dc.contributor.googleauthorDuk L. Na-
dc.identifier.doi10.1212/WNL.0000000000002097-
dc.contributor.localIdA01042-
dc.contributor.localIdA04603-
dc.contributor.localIdA03920-
dc.relation.journalcodeJ02340-
dc.identifier.eissn1526-632X-
dc.identifier.pmid26468407-
dc.contributor.alternativeNameKim, Chang Soo-
dc.contributor.alternativeNameYe, Byoung Seok-
dc.contributor.alternativeNameCho, Hanna-
dc.contributor.affiliatedAuthorKim, Chang Soo-
dc.contributor.affiliatedAuthorYe, Byoung Seok-
dc.contributor.affiliatedAuthorCho, Hanna-
dc.citation.volume85-
dc.citation.number19-
dc.citation.startPage1687-
dc.citation.endPage1693-
dc.identifier.bibliographicCitationNEUROLOGY, Vol.85(19) : 1687-1693, 2015-
dc.identifier.rimsid42326-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Preventive Medicine (예방의학교실) > 1. Journal Papers

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