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An abbreviated version of Silhouettes test: a brief validated mild cognitive impairment screening tool

  • Lin Huang (a1), Ke-Liang Chen (a1), Bi-Ying Lin (a1), Le Tang (a1), Qian-Hua Zhao (a1), Fang Li (a2) and Qi-Hao Guo (a1)...

Abstract

Objectives:

To revise an abbreviated version of the Silhouettes subtest of the Visual Object and Space Perception (VOSP) battery in order to recognize mild cognitive impairment (MCI) and determine the optimal cutoffs to differentiate among cognitively normal controls (NC), MCI, and Alzheimer’s Disease (AD) in the Chinese elderly.

Design:

A cross-sectional validation study.

Setting:

Huashan Hospital, Shanghai, China.

Subjects:

A total of 591 participants: Individuals with MCI (n = 211), AD (n = 139) and NC (n = 241) were recruited from the Memory Clinic, Huashan Hospital, Shanghai, China.

Methods:

Baseline neuropsychological battery (including VOSP) scores were collected from firsthand data. An abbreviated version of silhouettes test (Silhouettes-A) was revised from the original English version more suitable for the elderly, including eight silhouettes of animals and seven silhouettes of inanimate objects, with a score ranging from 0 to 15.

Results:

Silhouettes-A was an effective test to screen MCI in the Chinese elderly with good sensitivity and specificity, similar to the Montreal cognitive assessment and superior to other single tests reflecting language, spatial, or executive function. However, it had no advantage in distinguishing MCI from AD. The corresponding optimal cutoff scores of Silhouettes-A were 10 for screening MCI and 8 for AD.

Conclusion:

Silhouettes-A is a quick, simple, sensitive, and dependable cognitive test to distinguish among NC, MCI, and AD patients.

Copyright

Corresponding author

Correspondence should be addressed to: Fang Li, Department of Gerontology, Fuxing Hospital, Capital Medical University, No.20 A, Fuxingmenwai Street, Beijing 100038, China. Phone: +86 18510859856; Fax: +861088062032. Email: lifangwa@sina.com

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Tables S1-S4 and Figure S1

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