Literature DB >> 27653879

Comparison of neuropsychological profiles in patients with Alzheimer's disease and mixed dementia.

Hyo Shin Kang1, Jung Hye Kwon2, Sangha Kim3, Duk L Na4, Seong Yoon Kim5, Jae-Hong Lee6, Seol-Heui Han7, Seong Hye Choi8, SangYun Kim9, Bernard J Carroll10, Doh Kwan Kim11.   

Abstract

OBJECTS: We designed this study to extensively compare the neuropsychological profiles of Alzheimer's disease (AD) and mixed dementia (MD) in a large multicenter cohort of patients. Specifically, we performed subgroup analyses to examine group differences associated with dementia severity.
METHODS: A total of 1021 AD patients and 577 MD patients were included from the Clinical Research Center for Dementia of South Korea (CREDOS) Study. All patients underwent comprehensive neuropsychological and functional ratings, as well as complete physical and neurological examinations. To avoid floor confounds, only patients with Clinical Dementia Rating (CDR) scores of 0.5-2.0 were included.
RESULTS: Overall, MD patients showed worse performance in frontal/executive function than those with AD. Stratification by dementia severity revealed a significant difference in global cognitive function scores between AD and MD patients only in the low severity groups (CDR 0.5). Also, MD patients showed worse performance in frontal/executive function domains in the CDR 0.5 groups whereas they had better performance in the memory domain in the CDR 1 groups than did AD patients. Additionally, AD patients showed better performance than MD patients with respect to activities of daily living at CDR levels 0.5 and 1. All differences had disappeared at the CDR 2 level of global dementia severity.
CONCLUSION: This study suggests that there are significant differences in neuropsychological profiles between AD and MD patients, with the pattern of this difference varying distinctively according to dementia severity.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Dementia severity; Mixed dementia; Neuropsychological profiles

Mesh:

Year:  2016        PMID: 27653879     DOI: 10.1016/j.jns.2016.08.022

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  2 in total

1.  White Matter Structural Network Analysis to Differentiate Alzheimer's Disease and Subcortical Ischemic Vascular Dementia.

Authors:  Mengmeng Feng; Yue Zhang; Yuanqing Liu; Zhiwei Wu; Ziyang Song; Mengya Ma; Yueju Wang; Hui Dai
Journal:  Front Aging Neurosci       Date:  2021-03-31       Impact factor: 5.750

2.  Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data.

Authors:  Min Ju Kang; Sang Yun Kim; Duk L Na; Byeong C Kim; Dong Won Yang; Eun-Joo Kim; Hae Ri Na; Hyun Jeong Han; Jae-Hong Lee; Jong Hun Kim; Kee Hyung Park; Kyung Won Park; Seol-Heui Han; Seong Yoon Kim; Soo Jin Yoon; Bora Yoon; Sang Won Seo; So Young Moon; YoungSoon Yang; Yong S Shim; Min Jae Baek; Jee Hyang Jeong; Seong Hye Choi; Young Chul Youn
Journal:  BMC Med Inform Decis Mak       Date:  2019-11-21       Impact factor: 2.796

  2 in total

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