Cited 80 times in
Presynaptic dopamine depletion predicts levodopa-induced dyskinesia in de novo Parkinson disease
DC Field | Value | Language |
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dc.contributor.author | 선우문경 | - |
dc.contributor.author | 손영호 | - |
dc.contributor.author | 이지은 | - |
dc.contributor.author | 이필휴 | - |
dc.contributor.author | 함지현 | - |
dc.contributor.author | 홍진용 | - |
dc.date.accessioned | 2015-01-06T16:42:39Z | - |
dc.date.available | 2015-01-06T16:42:39Z | - |
dc.date.issued | 2014 | - |
dc.identifier.issn | 0028-3878 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/98617 | - |
dc.description.abstract | Objective: To investigate whether the magnitude of presynaptic dopamine depletion is a risk factor for the development of levodopa-induced dyskinesia (LID) in Parkinson disease (PD) by quantitatively analyzing 18F-FP-CIT PET data. Methods: This retrospective cohort study enrolled a total of 127 drug-naive de novo patients with PD who completed 18F-FP-CIT PET scanning at their initial evaluation. The patients visited our outpatient clinic every 3–6 months and had been followed for a minimum of 2 years since beginning dopaminergic medication. The predictive power of the quantitatively analyzed 18F-FP-CIT uptake of striatal subregions and other clinical factors for the development of LID was evaluated using Cox proportional hazard models. Results: During a mean follow-up period of 3.4 years, 35 patients with PD (27.6%) developed LID. Patients with LID showed less dopamine transporter (DAT) activity in the putamen than did those without LID. Multivariate Cox proportional hazard models revealed that the DAT uptakes of the anterior putamen (hazard ratio [HR] 0.530; p = 0.032), posterior putamen (HR 0.302; p = 0.024), and whole putamen (HR 0.386; p = 0.022) were significant predictors of the development of LID, whereas DAT activities in the caudate and ventral striatum were not significantly correlated with the development of LID. In addition, younger age at onset of PD and higher dose of levodopa were also significant predictors of the development of LID. Conclusions: The present results provide convincing evidence that presynaptic dopaminergic denervation in PD plays a crucial role in the development of LID. | - |
dc.description.statementOfResponsibility | open | - |
dc.relation.isPartOf | NEUROLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Antiparkinson Agents/adverse effects* | - |
dc.subject.MESH | Chi-Square Distribution | - |
dc.subject.MESH | Cohort Studies | - |
dc.subject.MESH | Corpus Striatum/diagnostic imaging | - |
dc.subject.MESH | Corpus Striatum/pathology | - |
dc.subject.MESH | Dopamine Plasma Membrane Transport Proteins/metabolism | - |
dc.subject.MESH | Dyskinesia, Drug-Induced/diagnostic imaging | - |
dc.subject.MESH | Dyskinesia, Drug-Induced/etiology* | - |
dc.subject.MESH | Dyskinesia, Drug-Induced/pathology* | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Levodopa/adverse effects* | - |
dc.subject.MESH | Magnetic Resonance Imaging | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Parkinson Disease/diagnostic imaging | - |
dc.subject.MESH | Parkinson Disease/drug therapy | - |
dc.subject.MESH | Positron-Emission Tomography | - |
dc.subject.MESH | Predictive Value of Tests | - |
dc.subject.MESH | Proportional Hazards Models | - |
dc.subject.MESH | Tropanes | - |
dc.title | Presynaptic dopamine depletion predicts levodopa-induced dyskinesia in de novo Parkinson disease | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Neurology (신경과학) | - |
dc.contributor.googleauthor | Jin Yong Hong | - |
dc.contributor.googleauthor | Jungsu S. Oh | - |
dc.contributor.googleauthor | Injoo Lee | - |
dc.contributor.googleauthor | Mun Kyung Sunwoo | - |
dc.contributor.googleauthor | Jee Hyun Ham | - |
dc.contributor.googleauthor | Ji E. Lee | - |
dc.contributor.googleauthor | Young H. Sohn | - |
dc.contributor.googleauthor | Jae Seung Kim | - |
dc.contributor.googleauthor | Phil Hyu Lee | - |
dc.identifier.doi | 10.1212/WNL.0000000000000385 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A01935 | - |
dc.contributor.localId | A01982 | - |
dc.contributor.localId | A03270 | - |
dc.contributor.localId | A04338 | - |
dc.contributor.localId | A04442 | - |
dc.contributor.localId | A03210 | - |
dc.relation.journalcode | J02340 | - |
dc.identifier.eissn | 1526-632X | - |
dc.identifier.pmid | 24719485 | - |
dc.identifier.url | https://www.neurology.org/doi/10.1212/WNL.0000000000000385 | - |
dc.contributor.alternativeName | Sunwoo, Mun Kyung | - |
dc.contributor.alternativeName | Sohn, Young Ho | - |
dc.contributor.alternativeName | Lee, Ji Eun | - |
dc.contributor.alternativeName | Lee, Phil Hyu | - |
dc.contributor.alternativeName | Ham, Jee Hyun | - |
dc.contributor.alternativeName | Hong, Jin Yong | - |
dc.contributor.affiliatedAuthor | Sunwoo, Mun Kyung | - |
dc.contributor.affiliatedAuthor | Sohn, Young Ho | - |
dc.contributor.affiliatedAuthor | Lee, Phil Hyu | - |
dc.contributor.affiliatedAuthor | Ham, Jee Hyun | - |
dc.contributor.affiliatedAuthor | Hong, Jin Yong | - |
dc.contributor.affiliatedAuthor | Lee, Ji Eun | - |
dc.rights.accessRights | free | - |
dc.citation.volume | 82 | - |
dc.citation.number | 18 | - |
dc.citation.startPage | 1597 | - |
dc.citation.endPage | 1604 | - |
dc.identifier.bibliographicCitation | NEUROLOGY, Vol.82(18) : 1597-1604, 2014 | - |
dc.identifier.rimsid | 38148 | - |
dc.type.rims | ART | - |
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