Sarah , Iyang Kiyu (2017) A visual based cognitive assessment tool (VCAT) for diagnosis of dementia in a multilingual Asian population / Sarah Iyang Kiyu. Masters thesis, University of Malaya.
Abstract
Background Mild cognitive impairment (MCI) can be regarded as a risk for developing dementia. Early diagnosis of MCI enables timely medical and non-medical intervention for patients as well as social support networks for caregivers. This is essential as the prevalence of dementia is increasing worldwide. Objective The Visual Cognitive Assessment Tool (VCAT) may be comparable to MoCA and MMSE in detecting MCI, without the need for translation into other languages or adaptations. Method The VCAT, MoCA and MMSE were administered to participants from the Falls clinic of University Malaya. The sensitivity and specificity, area under the curve (AUC) as well as post-hoc analysis was assessed for the detection of MCI and dementia. Results VCA T was comparable to MoCA and MMSE in a sample of 96 participants. The sample comprised of 50 Healthy Fallers and 46 Cognitively Impaired Subjects. AUC of VCAT for detection of cognitive impairment was 88.3(95% CI 81.3 to 95.3). The sensitivity and specificity of VCA T in diagnosing cognitive impairment was 80% and 82% respectively. VCAT had better sensitivity than MMSE, and better specificity than MoCA. Post-hoc analysis showed that VCAT offers better differentiation for normal controls versus MCI in comparison to MoCA and MMSE. Mean time to completion of VCAT was 13.0 ± 5.7 min. Conclusions The VCA T has good sensitivity and specificity for diagnosing cognitive impairment. It may also offer better differentiation for normal controls versus MCI compared to MoCA and MMSE. It also offers the advantage of being visual based, thus avoiding the need for adaptations or translations into other languages.
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