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Factor analysis-derived cognitive profile predicting early dementia conversion in PD

DC FieldValueLanguage
dc.contributor.author백경원-
dc.contributor.author손영호-
dc.contributor.author예병석-
dc.contributor.author유한수-
dc.contributor.author이양현-
dc.contributor.author이필휴-
dc.contributor.author이혜선-
dc.contributor.author정석종-
dc.date.accessioned2020-12-01T16:57:11Z-
dc.date.available2020-12-01T16:57:11Z-
dc.date.issued2020-09-
dc.identifier.issn0028-3878-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/180060-
dc.description.abstractObjectives: To investigate which baseline neuropsychological profile predicts the risk of developing dementia in early-stage Parkinson disease (PD). Methods: We retrospectively reviewed detailed medical records of 350 drug-naive patients with early-stage PD (follow-up >3 years) who underwent a detailed neuropsychological test at initial assessment. Factor analysis was conducted to determine cognitive profiles that yielded 4 cognitive function factors: factor 1, visual memory/visuospatial; factor 2, verbal memory; factor 3, frontal/executive; and factor 4, attention/working memory/language. Subsequently, we assessed the effect of these cognitive function factors on the risk for dementia conversion. We also constructed a nomogram to calculate the risk for developing dementia over a 5-year follow-up period based on these cognitive profiles. Results: Cox regression analysis demonstrated that a higher composite score of factor 1 (hazard ratio [HR] 0.558, 95% confidence interval [CI] 0.427-0.730), factor 2 (HR 0.768, 95% CI 0.596-0.991), and factor 3 (HR 0.425, 95% CI 0.305-0.593) was associated with a lower risk for dementia conversion, while factor 3 had the most predictive power. The nomogram had a fair ability (Heagerty integrated area under the curve 0.763) to estimate the risk for dementia conversion within 5 years. The composite scores of factor 3 contributed more to the occurrence of dementia in PD than those of the other cognitive function factors. Conclusions: These findings suggest that these factor analysis-derived cognitive profiles can be used to predict dementia conversion in early-stage PD. In addition, frontal/executive dysfunction contributes most to the occurrence of dementia in PD.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherLippincott Williams & Wilkins-
dc.relation.isPartOfNEUROLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHAged-
dc.subject.MESHDementia / diagnosis-
dc.subject.MESHDementia / etiology*-
dc.subject.MESHEarly Diagnosis*-
dc.subject.MESHFactor Analysis, Statistical-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHNeuropsychological Tests*-
dc.subject.MESHNomograms-
dc.subject.MESHParkinson Disease / complications*-
dc.subject.MESHRetrospective Studies-
dc.subject.MESHRisk Factors-
dc.titleFactor analysis-derived cognitive profile predicting early dementia conversion in PD-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Neurology (신경과학교실)-
dc.contributor.googleauthorSeok Jong Chung-
dc.contributor.googleauthorHye Sun Lee-
dc.contributor.googleauthorHang-Rai Kim-
dc.contributor.googleauthorHan Soo Yoo-
dc.contributor.googleauthorYang Hyun Lee-
dc.contributor.googleauthorJin Ho Jung-
dc.contributor.googleauthorKyoungWon Baik-
dc.contributor.googleauthorByoung Seok Ye-
dc.contributor.googleauthorYoung H Sohn-
dc.contributor.googleauthorPhil Hyu Lee-
dc.identifier.doi10.1212/WNL.0000000000010347-
dc.contributor.localIdA05133-
dc.contributor.localIdA01982-
dc.contributor.localIdA01982-
dc.contributor.localIdA04603-
dc.contributor.localIdA04603-
dc.contributor.localIdA05367-
dc.contributor.localIdA05367-
dc.contributor.localIdA05714-
dc.contributor.localIdA05714-
dc.contributor.localIdA03270-
dc.contributor.localIdA03270-
dc.contributor.localIdA03312-
dc.contributor.localIdA03312-
dc.contributor.localIdA04666-
dc.contributor.localIdA04666-
dc.relation.journalcodeJ02340-
dc.identifier.eissn1526-632X-
dc.identifier.pmid32651296-
dc.identifier.urlhttps://n.neurology.org/content/95/12/e1650.long-
dc.contributor.alternativeNameBaik, Kyoungwon-
dc.contributor.affiliatedAuthor백경원-
dc.contributor.affiliatedAuthor손영호-
dc.contributor.affiliatedAuthor손영호-
dc.contributor.affiliatedAuthor예병석-
dc.contributor.affiliatedAuthor예병석-
dc.contributor.affiliatedAuthor유한수-
dc.contributor.affiliatedAuthor유한수-
dc.contributor.affiliatedAuthor이양현-
dc.contributor.affiliatedAuthor이양현-
dc.contributor.affiliatedAuthor이필휴-
dc.contributor.affiliatedAuthor이필휴-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor정석종-
dc.contributor.affiliatedAuthor정석종-
dc.citation.volume95-
dc.citation.number12-
dc.citation.startPagee1650-
dc.citation.endPagee1659-
dc.identifier.bibliographicCitationNEUROLOGY, Vol.95(12) : e1650-e1659, 2020-09-
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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