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The revised Addenbrooke's Cognitive Examination can facilitate differentiation of dementia with Lewy bodies from Alzheimer's disease
被引:6
|作者:
Prats-Sedano, Maria Angeles
[1
]
Savulich, George
[1
]
Surendranathan, Ajenthan
[1
]
Donaghy, Paul C.
[2
]
Thomas, Alan J.
[2
]
Rowe, James B.
[3
]
Su, Li
[1
]
O'Brien, John T.
[1
]
机构:
[1] Univ Cambridge, Sch Clin Med, Dept Psychiat, Box 189,Level E4,Cambridge Biomed Campus, Cambridge CB2 0SP, England
[2] Newcastle Univ, Translat & Clin Res Inst, Newcastle Upon Tyne, Tyne & Wear, England
[3] Univ Cambridge, Sch Clin Med, Dept Clin Neurosci, Cambridge, England
关键词:
Addenbrooke'
s Cognitive Examination‐
revised;
Alzheimer'
s disease;
dementia with Lewy bodies;
diagnosis;
neurodegeneration;
neuropsychology;
TEST BATTERY;
DIAGNOSIS;
ACE;
RECOMMENDATIONS;
MANAGEMENT;
DISORDER;
BODY;
D O I:
10.1002/gps.5483
中图分类号:
R592 [老年病学];
C [社会科学总论];
学科分类号:
03 ;
0303 ;
100203 ;
摘要:
Objectives Dementia with Lewy bodies (DLB) is a major cause of degenerative dementia, yet the diagnosis is often missed or mistaken for Alzheimer's disease (AD). We assessed whether the revised Addenbrooke's Cognitive Examination (ACE-R), a brief test for dementia, differentiates DLB from AD. Methods We first compared baseline ACE-R performance in 76 individuals with DLB, 40 individuals with AD and 66 healthy controls. We then investigated the diagnostic accuracy of a simple standardised 'memory/visuospatial' ratio calculated from the ACE-R subscores. Finally, as a comparison a logistic regression machine learning algorithm was trained to classify between DLB and AD. Results Individuals with AD had poorer memory (p = 0.001) and individuals with DLB had poorer visuospatial function (p = 0.005). Receiver operating characteristics curves confirmed that the ACE-R total score could differentiate dementia from non-dementia cases with 98% accuracy, but could not discriminate between dementia types (50%, or chance-level accuracy). However, a 'memory/visuospatial' ratio >= 1.1 differentiated DLB from AD with 82% sensitivity, 68% specificity and 77% mean accuracy. The machine learning classifier did not improve the overall diagnostic accuracy (74%) of the simple ACE-R subscores ratio. Conclusions The ACE-R-based 'memory/visuospatial' ratio, but not total score, demonstrates good clinical utility for the differential diagnosis of DLB from AD.
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页码:831 / 838
页数:8
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