AMES: An Automated Self-Administered Scale to Detect Incipient Cognitive Decline in Primary Care Settings

Huang, Lin; Mei, Zihan; Ye, Jianfeng; Guo, Qihao

doi:10.1177/10731911221144774

Cited by 2 publications

(1 citation statement)

References 40 publications

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“…It has good convergent validity with conventional tests and is good to discriminate patients with MCI (AUC: 0.88, sensitivity: 86%, specificity: 80%) and obj-SCD (AUC: 0.78, sensitivity: 89%, specificity: 63%) from normal controls. 40 In addition, a voice recognition-based mobile cognitive assessment tool (Shanghai Cognitive Screening, SCS) takes about 6 min to guide users to self-administrate the cognitive assessment via voice interaction, and output instant reports about their test scores and voice features using machine learning techniques. 41 Receiver operating characteristic (ROC) curve analysis showed that the SCS total score had General Psychiatry Figure 1 The digital behavioural markers for detecting prodromal Alzheimer's disease.…”

Section: Electronic Assessment Toolsmentioning

confidence: 99%

Consensus on rapid screening for prodromal Alzheimer’s disease in China

Huang,

Li,

et al. 2024

Gen Psych

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Alzheimer’s disease (AD) is a common cause of dementia, characterised by cerebral amyloid-β deposition, pathological tau and neurodegeneration. The prodromal stage of AD (pAD) refers to patients with mild cognitive impairment (MCI) and evidence of AD’s pathology. At this stage, disease-modifying interventions should be used to prevent the progression to dementia. Given the inherent heterogeneity of MCI, more specific biomarkers are needed to elucidate the underlying AD’s pathology. Although the uses of cerebrospinal fluid and positron emission tomography are widely accepted methods for detecting AD’s pathology, their clinical applications are limited by their high costs and invasiveness, particularly in low-income areas in China. Therefore, to improve the early detection of Alzheimer's disease (AD) pathology through cost-effective screening methods, a panel of 45 neurologists, psychiatrists and gerontologists was invited to establish a formal consensus on the screening of pAD in China. The supportive evidence and grades of recommendations are based on a systematic literature review and focus group discussion. National meetings were held to allow participants to review, vote and provide their expert opinions to reach a consensus. A majority (two-thirds) decision was used for questions for which consensus could not be reached. Recommended screening methods are presented in this publication, including neuropsychological assessment, peripheral biomarkers and brain imaging. In addition, a general workflow for screening pAD in China is established, which will help clinicians identify individuals at high risk and determine therapeutic targets.

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Section: Electronic Assessment Toolsmentioning

confidence: 99%

Consensus on rapid screening for prodromal Alzheimer’s disease in China

Huang,

Li,

et al. 2024

Gen Psych

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The Montreal cognitive assessment: normative data from a large, population-based sample of Chinese healthy adults and validation for detecting vascular cognitive impairment

Wei,

Du,

Liu

et al. 2024

Front. Neurosci.

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BackgroundThe Montreal Cognitive Assessment (MoCA) is a valuable tool for detecting cognitive impairment, widely used in many countries. However, there is still a lack of large sample normative data and whose cut-off values for detecting cognitive impairment is considerable controversy.MethodsThe assessment conducted in this study utilizes the MoCA scale, specifically employing the Mandarin-8.1 version. This study recruited a total of 3,097 healthy adults aged over 20 years. We performed multiple linear regression analysis, incorporating age, gender, and education level as predictor variables, to examine their associations with the MoCA total score and subdomain scores. Subsequently, we established normative values stratified by age and education level. Finally, we included 242 patients with vascular cognitive impairment (VCI) and 137 controls with normal cognition, and determined the optimal cut-off value of VCI through ROC curves.ResultsThe participants in this study exhibit a balanced gender distribution, with an average age of 54.46 years (SD = 14.38) and an average education period of 9.49 years (SD = 4.61). The study population demonstrates an average MoCA score of 23.25 points (SD = 4.82). The multiple linear regression analysis indicates that MoCA total score is influenced by age and education level, collectively accounting for 46.8% of the total variance. Higher age and lower education level are correlated with lower MoCA total scores. A score of 22 is the optimal cut-off value for diagnosing vascular cognitive impairment (VCI).ConclusionThis study offered normative MoCA values specific to the Chinese adults. Furthermore, this study indicated that a score of 26 may not represent the most optimal cut-off value for VCI. And for detecting VCI, a score of 22 may be a better cut-off value.

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AMES: An Automated Self-Administered Scale to Detect Incipient Cognitive Decline in Primary Care Settings

Cited by 2 publications

References 40 publications

Consensus on rapid screening for prodromal Alzheimer’s disease in China

Consensus on rapid screening for prodromal Alzheimer’s disease in China

The Montreal cognitive assessment: normative data from a large, population-based sample of Chinese healthy adults and validation for detecting vascular cognitive impairment

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