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Cited 13 times in

Dementia-Predicting Cognitive Risk Score and Its Correlation with Cortical Thickness in Parkinson Disease

DC Field Value Language
dc.contributor.author손영호-
dc.contributor.author예병석-
dc.contributor.author이재정-
dc.contributor.author이필휴-
dc.contributor.author이혜선-
dc.contributor.author함지현-
dc.date.accessioned2018-07-20T08:13:07Z-
dc.date.available2018-07-20T08:13:07Z-
dc.date.issued2017-
dc.identifier.issn1420-8008-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/160979-
dc.description.abstractBACKGROUND: We developed a risk score system to predict risks of developing dementia in individual Parkinson disease (PD) patients using baseline neuropsychological tests. METHODS: A total of 216 nondemented PD patients underwent a baseline neuropsychological evaluation and were followed up for a mean of 2.7 (±1.1) years. Univariate Cox regression models controlled for age, gender, and education selected neuropsychological tests individually predicting dementia risk. Then, a multivariate Cox regression model combined them into a cognitive risk score system. Cortical areas correlating with cognitive risk score were investigated using a separate MRI data set from 207 nondemented PD patients. RESULTS: Fifty-two patients (23.9%) developed dementia. The univariate Cox regression analyses identified the confrontational naming and semantic fluency tests, frontal/executive function tests, immediate verbal memory test, and visuospatial function test as predicting dementia risk. The calculated cognitive risk score (range 53-188) predicted future dementia with moderate accuracy (integrated area under the curve = 0.79; 95% CI: 0.73-0.85). A higher cognitive risk score correlated with cortical thinning in the right anteromedial temporal cortex, bilateral posterior cingulate cortex, right anterior cingulate cortex, left parahippocampal gyrus, and right superior frontal cortex in a separate MRI data set. CONCLUSION: The cognitive risk score system is a useful approach to predict the dementia risk among PD patients.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherKarger-
dc.relation.isPartOfDEMENTIA AND GERIATRIC COGNITIVE DISORDERS-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleDementia-Predicting Cognitive Risk Score and Its Correlation with Cortical Thickness in Parkinson Disease-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Neurology-
dc.contributor.googleauthorYe B.S.-
dc.contributor.googleauthorJeon S.-
dc.contributor.googleauthorHam J.H.-
dc.contributor.googleauthorLee J.J.-
dc.contributor.googleauthorLee J.M.-
dc.contributor.googleauthorLee H.S.-
dc.contributor.googleauthorLee P.H.-
dc.contributor.googleauthorSohn Y.H.-
dc.identifier.doi10.1159/000479057-
dc.contributor.localIdA01982-
dc.contributor.localIdA04603-
dc.contributor.localIdA03082-
dc.contributor.localIdA03270-
dc.contributor.localIdA03312-
dc.contributor.localIdA04338-
dc.relation.journalcodeJ00696-
dc.identifier.eissn1421-9824-
dc.identifier.pmid28930751-
dc.identifier.urlhttps://www.karger.com/Article/Abstract/479057-
dc.contributor.alternativeNameSohn, Young Ho-
dc.contributor.alternativeNameYe, Byoung Seok-
dc.contributor.alternativeNameLee, Jae Jung-
dc.contributor.alternativeNameLee, Phil Hyu-
dc.contributor.alternativeNameLee, Hye Sun-
dc.contributor.alternativeNameHam, Jee Hyun-
dc.contributor.affiliatedAuthorSohn, Young Ho-
dc.contributor.affiliatedAuthorYe, Byoung Seok-
dc.contributor.affiliatedAuthorLee, Jae Jung-
dc.contributor.affiliatedAuthorLee, Phil Hyu-
dc.contributor.affiliatedAuthorLee, Hye Sun-
dc.contributor.affiliatedAuthorHam, Jee Hyun-
dc.citation.volume44-
dc.citation.number3~4-
dc.citation.startPage203-
dc.citation.endPage212-
dc.identifier.bibliographicCitationDEMENTIA AND GERIATRIC COGNITIVE DISORDERS, Vol.44(3~4) : 203-212, 2017-
dc.identifier.rimsid60871-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers

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