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      치매 환자에서 뇌 자기공명영상의 특징과 비정형 항정신병 약제 사용여부의 상관 관계 = Association between Characteristics of Brain Magnetic Resonance Imaging and Atypical Antipsychotics Use in Dementia Patients

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      https://www.riss.kr/link?id=A101640572

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      다국어 초록 (Multilingual Abstract)

      Objectives We aimed to identify the neuroimaging marker for prediction of the use of atypical antipsychotics (AAP) in dementia patients. Methods From April 2010 to March 2013, 31 patients who were diagnosed as dementia at the psychiatric department of Soonchunhyang University Hospital, completed the brain magnetic resonance imaging scan and cognitive test for dementia. Ten patients were treated with AAP for the improvement of behavioral and psychological symptoms of dementia (BPSD) and the other 21patients were not. Using T1 weighted and Fluid Attenuated Inversion Recovery (FLAIR) images of brain, areas of white matter (WM), gray matter (GM), cerebrospinal fluid (CSF) and white matter hyperintensities (WMH) have been segmented and measured. Multivariate logistic regression models were applied for assessment of association between AAP use and the GM/WM ratio, the WMH/whole brain (GM + WM + CSF) ratio. Results There was a significant association between AAP use and the GM/WM ratio (odds ratio, OR = 1.18, 95% confidence interval, CI 1.01-1.38, p = 0.037), while there was no association between AAP use and the WMH/whole brain ratio (OR = 0.82, 95% CI 0.27-2.48, p = 0.73). Conclusions The GM/WM ratio could be a biological marker for the prediction of AAP use and BPSD in patients with dementia. It was more likely to increase as dementia progress since atrophy of WM was more prominent than that of GM over aging.
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      Objectives We aimed to identify the neuroimaging marker for prediction of the use of atypical antipsychotics (AAP) in dementia patients. Methods From April 2010 to March 2013, 31 patients who were diagnosed as dementia at the psychiatric department of...

      Objectives We aimed to identify the neuroimaging marker for prediction of the use of atypical antipsychotics (AAP) in dementia patients. Methods From April 2010 to March 2013, 31 patients who were diagnosed as dementia at the psychiatric department of Soonchunhyang University Hospital, completed the brain magnetic resonance imaging scan and cognitive test for dementia. Ten patients were treated with AAP for the improvement of behavioral and psychological symptoms of dementia (BPSD) and the other 21patients were not. Using T1 weighted and Fluid Attenuated Inversion Recovery (FLAIR) images of brain, areas of white matter (WM), gray matter (GM), cerebrospinal fluid (CSF) and white matter hyperintensities (WMH) have been segmented and measured. Multivariate logistic regression models were applied for assessment of association between AAP use and the GM/WM ratio, the WMH/whole brain (GM + WM + CSF) ratio. Results There was a significant association between AAP use and the GM/WM ratio (odds ratio, OR = 1.18, 95% confidence interval, CI 1.01-1.38, p = 0.037), while there was no association between AAP use and the WMH/whole brain ratio (OR = 0.82, 95% CI 0.27-2.48, p = 0.73). Conclusions The GM/WM ratio could be a biological marker for the prediction of AAP use and BPSD in patients with dementia. It was more likely to increase as dementia progress since atrophy of WM was more prominent than that of GM over aging.

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      참고문헌 (Reference)

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      5 Ballard C, "The effectiveness of atypical antipsychotics for the treatment of aggression and psychosis in Alzheimer’s disease" CD003476-, 2006

      6 Beeri MS, "The cost of behavioral and psychological symptoms of dementia (BPSD) in community dwelling Alzheimer’s disease patients" 17 : 403-408, 2002

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      1 Salat DH, "White matter pathology isolates the hippocampal formation in Alzheimer’s disease" 31 : 244-256, 2010

      2 Guttmann CR, "White matter changes with normal aging" 50 : 972-978, 1998

      3 Ashburner J, "Voxel-based morphometry--the methods" 11 (11): 805-821, 2000

      4 Staff RT, "Venneri A. Delusions in Alzheimer’s disease: spet evidence of right hemispheric dysfunction" 35 : 549-560, 1999

      5 Ballard C, "The effectiveness of atypical antipsychotics for the treatment of aggression and psychosis in Alzheimer’s disease" CD003476-, 2006

      6 Beeri MS, "The cost of behavioral and psychological symptoms of dementia (BPSD) in community dwelling Alzheimer’s disease patients" 17 : 403-408, 2002

      7 O’Dwyer L, "Tanner C, et al. Multiple indices of diffusion identifies white matter damage in mild cognitive impairment and Alzheimer’s disease" 6 : e21745-, 2011

      8 Villain N, "Sequential relationships between grey matter and white matter atrophy and brain metabolic abnormalities in early Alzheimer’s disease" 133 : 3301-3314, 2010

      9 Li S, "Regional white matter decreases in Alzheimer’s disease using optimized voxel-based morphometry" 49 : 84-90, 2008

      10 "Public Health Advisory: Deaths with Antipsychotics in Elderly Patients with Behavioral Disturbances"

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      12 CalvÓ-Perxas L, "Profile and variables related to antipsychotic consumption according to dementia subtypes" 24 : 940-947, 2012

      13 Assal F, "Neuropsychiatric symptoms in the dementias" 15 : 445-450, 2002

      14 Shin IS, "Neuropsychiatric symptoms and quality of life in Alzheimer disease" 13 : 469-474, 2005

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      33 Piccininni M, "Behavioral and psychological symptoms in Alzheimer’s disease: frequency and relationship with duration and severity of the disease" 19 : 276-281, 2005

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      35 Ott BR, "Apathy and loss of insight in Alzheimer’s disease: a SPECT imaging study" 8 : 41-46, 1996

      36 Liperoti R, "Antipsychotics for the treatment of behavioral and psychological symptoms of dementia (BPSD)" 6 : 117-124, 2008

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      38 Bartzokis G, "Age-related myelin breakdown: a developmental model of cognitive decline and Alzheimer’s disease" 25 : 5-18, 2004

      39 Acosta-Cabronero J, "Absolute diffusivities define the landscape of white matter degeneration in Alzheimer’s disease" 133 (133): 529-539, 2010

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      41 Luders E, "A voxel-based approach to gray matter asymmetries" 22 : 656-664, 2004

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      43 Sled JG, "A nonparametric method for automatic correction of intensity nonuniformity in MRI data" 17 : 87-97, 1998

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2006-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.19 0.19 0.19
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.14 0.15 0.475 0
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