Cited 16 times in
Factor analysis-derived cognitive profile predicting early dementia conversion in PD
DC Field | Value | Language |
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dc.contributor.author | 백경원 | - |
dc.contributor.author | 손영호 | - |
dc.contributor.author | 예병석 | - |
dc.contributor.author | 유한수 | - |
dc.contributor.author | 이양현 | - |
dc.contributor.author | 이필휴 | - |
dc.contributor.author | 이혜선 | - |
dc.contributor.author | 정석종 | - |
dc.date.accessioned | 2020-12-01T16:57:11Z | - |
dc.date.available | 2020-12-01T16:57:11Z | - |
dc.date.issued | 2020-09 | - |
dc.identifier.issn | 0028-3878 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/180060 | - |
dc.description.abstract | Objectives: 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.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Lippincott Williams & Wilkins | - |
dc.relation.isPartOf | NEUROLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Dementia / diagnosis | - |
dc.subject.MESH | Dementia / etiology* | - |
dc.subject.MESH | Early Diagnosis* | - |
dc.subject.MESH | Factor Analysis, Statistical | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Neuropsychological Tests* | - |
dc.subject.MESH | Nomograms | - |
dc.subject.MESH | Parkinson Disease / complications* | - |
dc.subject.MESH | Retrospective Studies | - |
dc.subject.MESH | Risk Factors | - |
dc.title | Factor analysis-derived cognitive profile predicting early dementia conversion in PD | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Neurology (신경과학교실) | - |
dc.contributor.googleauthor | Seok Jong Chung | - |
dc.contributor.googleauthor | Hye Sun Lee | - |
dc.contributor.googleauthor | Hang-Rai Kim | - |
dc.contributor.googleauthor | Han Soo Yoo | - |
dc.contributor.googleauthor | Yang Hyun Lee | - |
dc.contributor.googleauthor | Jin Ho Jung | - |
dc.contributor.googleauthor | KyoungWon Baik | - |
dc.contributor.googleauthor | Byoung Seok Ye | - |
dc.contributor.googleauthor | Young H Sohn | - |
dc.contributor.googleauthor | Phil Hyu Lee | - |
dc.identifier.doi | 10.1212/WNL.0000000000010347 | - |
dc.contributor.localId | A05133 | - |
dc.contributor.localId | A01982 | - |
dc.contributor.localId | A04603 | - |
dc.contributor.localId | A05367 | - |
dc.contributor.localId | A05714 | - |
dc.contributor.localId | A03270 | - |
dc.contributor.localId | A03312 | - |
dc.contributor.localId | A04666 | - |
dc.relation.journalcode | J02340 | - |
dc.identifier.eissn | 1526-632X | - |
dc.identifier.pmid | 32651296 | - |
dc.identifier.url | https://n.neurology.org/content/95/12/e1650.long | - |
dc.contributor.alternativeName | Baik, Kyoungwon | - |
dc.contributor.affiliatedAuthor | 백경원 | - |
dc.contributor.affiliatedAuthor | 손영호 | - |
dc.contributor.affiliatedAuthor | 예병석 | - |
dc.contributor.affiliatedAuthor | 유한수 | - |
dc.contributor.affiliatedAuthor | 이양현 | - |
dc.contributor.affiliatedAuthor | 이필휴 | - |
dc.contributor.affiliatedAuthor | 이혜선 | - |
dc.contributor.affiliatedAuthor | 정석종 | - |
dc.citation.volume | 95 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | e1650 | - |
dc.citation.endPage | e1659 | - |
dc.identifier.bibliographicCitation | NEUROLOGY, Vol.95(12) : e1650-e1659, 2020-09 | - |
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