Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이종민 | - |
dc.date.accessioned | 2019-08-27T01:48:00Z | - |
dc.date.available | 2019-08-27T01:48:00Z | - |
dc.date.issued | 2019-03 | - |
dc.identifier.citation | JOURNAL OF CLINICAL MEDICINE, v. 8, NO 3, 341 | en_US |
dc.identifier.issn | 2077-0383 | - |
dc.identifier.uri | https://www.mdpi.com/2077-0383/8/3/341 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/109950 | - |
dc.description.abstract | We aimed to present the study design of an independent validation cohort from the Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's disease (AD) (KBASE-V) and to investigate the baseline characteristics of the participants according to the AD clinical spectrum. We recruited 71 cognitively normal (CN) participants, 96 with subjective cognitive decline (SCD), 72 with mild cognitive impairment (MCI), and 56 with AD dementia (ADD). The participants are followed for three years. The Consortium to Establish a Registry for AD scores was significantly different between all of the groups. The logical memory delayed recall scores were significantly different between all groups, except between the MCI and ADD groups. The Mini-Mental State Examination score, hippocampal volume, and cerebrospinal fluid (CSF) amyloid-beta 42 level were significant difference among the SCD, MCI, and ADD groups. The frequencies of participants with amyloid pathology according to PET or CSF studies were 8.9%, 25.6%, 48.3%, and 90.0% in the CN, SCD, MCI, and ADD groups, respectively. According to ATN classification, A+/T+/N+ or A+/T+/N- was observed in 0%, 15.5%, 31.0%, and 78.3% in the CN, SCD, MCI, and ADD groups, respectively. The KBASE-V showed a clear difference according to the AD clinical spectrum in neuropsychological tests and AD biomarkers. | en_US |
dc.description.sponsorship | This study was supported by grants from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (HI18C0479) and the Original Technology Research Program for Brain Science through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT, Republic of Korea (NRF-2014M3C7A1064752, NRF-2014M3C7A1046042, and NRF-2018M3A9F1023697). | en_US |
dc.language.iso | en | en_US |
dc.publisher | MDPI | en_US |
dc.subject | Alzheimer's disease | en_US |
dc.subject | mild cognitive impairment | en_US |
dc.subject | biomarkers | en_US |
dc.subject | cohort study | en_US |
dc.subject | subjective cognitive decline | en_US |
dc.title | Clinical and Biomarker Characteristics According to Clinical Spectrum of Alzheimer’s Disease (AD) in the Validation Cohort of Korean Brain Aging Study for the Early Diagnosis and Prediction of AD | en_US |
dc.type | Article | en_US |
dc.relation.no | 3 | - |
dc.relation.volume | 8 | - |
dc.identifier.doi | 10.3390/jcm8030341 | - |
dc.relation.page | 1-19 | - |
dc.relation.journal | JOURNAL OF CLINICAL MEDICINE | - |
dc.contributor.googleauthor | Hwang, Jihye | - |
dc.contributor.googleauthor | Jeong, Jee Hyang | - |
dc.contributor.googleauthor | Yoon, Soo Jin | - |
dc.contributor.googleauthor | Park, Kyung Won | - |
dc.contributor.googleauthor | Kim, Eun-Joo | - |
dc.contributor.googleauthor | Yoon, Bora | - |
dc.contributor.googleauthor | Jang, Jae-Won | - |
dc.contributor.googleauthor | Kim, Hee Jin | - |
dc.contributor.googleauthor | Hong, Jin Yong | - |
dc.contributor.googleauthor | Lee, Jong-Min | - |
dc.relation.code | 2019044887 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DIVISION OF ELECTRICAL AND BIOMEDICAL ENGINEERING | - |
dc.identifier.pid | ljm | - |
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