Implementing a screening and diagnosis program for dementia in primary care. doi:10.1002/trc2.12057īoustani M, Callahan CM, Unverzagt FW, et al. CCCDTD5 recommendation on early and timely assessment of neurocognitive disorders using cognitive, behavioural, and functional scales. Tang‐Wai DF, Smith EE, Bruneau MA, et al. Recommendations of the 5th Canadian consensus conference on the diagnosis and treatment of dementia. Practice guideline update summary: mild cognitive impairment: report of the guideline development, dissemination, and implementation Subcommittee of the American Academy of neurology. Petersen RC, Lopez O, Armstrong MJ, et al. Alzheimer's Disease International (ADI) 2018. The State of the Art of Dementia Research: New Frontiers. Journal of the American Geriatrics Society published by Wiley Periodicals LLC on behalf of The American Geriatrics Society. Montreal cognitive assessment age-associated cognitive decline cognition dementia early detection mild cognitive impairment screening. This innovative model allows longitudinal cognitive evaluation and enables prompt initiation of investigation and treatment when appropriate. The Cognitive Charts-MoCA showed high validity and diagnostic accuracy for determining whether older individuals show abnormal performance on serial MoCAs. Results in two additional validation samples were comparable. For current cognitive status or baseline measurement, the Cognitive Charts-MoCA had a SE of 81%, 95% CI:, SP of 84%, 95% CI: in distinguishing healthy controls from mild cognitive impairment or dementia. We validated our model using two separate data sets.įor longitudinal evaluation of the Cognitive Charts-MoCA, sensitivity (SE) was 89%, 95% confidence interval (CI): and specificity (SP) 79%, 95% CI:, hence showing better performance than fixed cutoffs of MoCA (SE 82%, 95% CI:, SP 68%, 95% CI: ). Based on this model, we generated the Cognitive Charts-MoCA designed to optimize accuracy for distinguishing participants with MCI and dementia from healthy controls. We developed a linear regression model for the MoCA score as a function of age and education. We analyzed data from the National Alzheimer's Coordinating Center (9684 participants aged 60 years or older) who completed the MoCA at baseline. We aimed to create cognitive charts using the MoCA for longitudinal evaluation of AACD in clinical practice. It remains unclear, however, how to interpret its scores over time and distinguish age-associated cognitive decline (AACD) from early neurodegeneration.
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