Risk Factors of Cognitive Impairment and Brief Cognitive Tests to Predict Cognitive Performance Determined by a Formal Neuropsychological Evaluation of Primary Health Care Patients

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• 作者：Muhammad Amin Shaik ; BP^a ; ^b ; Qun Lin Chan ; BA^a ; ^b ; Jing Xu ; PhD^a ; ^b ; Xin Xu ; PhD^a ; ^b ; Richard Jor Yeong Hui ; MD^c ; Steven Shih Tsze Chong ; MD^c ; Christopher Li-Hsian Chen ; MD^a ; ^b ; YanHong Dong ; PhD^a ; ^b ; ^d ; ^{yanhong_dong@nuhs.edu.sg" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Case finding ; risk factors ; cognitive impairment ; primary care
• 刊名：Journal of the American Medical Directors Association
• 出版年：2016
• 出版时间：1 April 2016
• 年：2016
• 卷：17
• 期：4
• 页码：343-347
• 全文大小：239 K

文摘

Case finding for cognitive impairment (CI) is recommended for all persons older than 70 years.

Objective

The present study identified additional risk factors of CI so as to operationalize a composite total risk score (TRS) for case finding. We then examined the additive effect of the TRS and brief cognitive tests to improve the diagnosis of CI.

Methods

The study was conducted in 2 primary health care centers in Singapore. A total of 1082 individuals (≥60 years old) were assessed for sociodemographic risk factors and their informants were administered the AD8; 309 individuals who agreed for further cognitive assessments completed the Mini-mental state examination (MMSE) and Montreal Cognitive Assessment (MoCA), and a neuropsychological battery at a research center. Primary health care medical records were accessed for data on vascular risk factors.

Results

Of the 309 individuals who underwent neuropsychological evaluation, 4 were excluded due to missing medical data; 167 (54.8%) individuals had CI and 138 (45.2%) had No Cognitive Impairment (NCI). The β coefficients were standardized to calculate risk scores. CI was significantly predicted by age >70 years (odds ratio [OR] 5.99; score = 3), diabetes (OR 3.36; score = 2), stroke (OR 2.70; score = 1), female gender (OR 2.02; score = 1) and individual cognitive complaints (SCC) (OR 1.95; score = 1). The TRS had an optimal cutoff of ≥3 and explained considerable variance in global cognitive composite Z-scores (R² = 0.41, P < .001). The MoCA explained substantial variance compared with the MMSE and AD8 (R² changes of 0.474, 0.422, and 0.157, P < .001, respectively).

Conclusion

The TRS is a reasonable measure to predict individuals at risk of CI. The addition of the MoCA, in persons with positive TRS scores, is a useful approach to improve the diagnosis of CI for at-risk patients attending primary health care.