NORTON, Joanna; GUTIERREZ, Laure-Anne; GOURDEAU, Christian; AMIEVA, Helene; BERNIER, Patrick; BERR, Claudine

doi:10.3233/JAD-231176

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NORTON, Joanna

GUTIERREZ, Laure-Anne

GOURDEAU, Christian

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Journal of Alzheimer's disease. 2024-02-19

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The Cognitive Quotient (QuoCo) classification algorithm monitoring decline on age- and education-adjusted Mini-Mental State Examination (MMSE)-derived cognitive charts has proved superior to the conventionally-used cut-off for identifying incident dementia; however, it remains to be tested in different settings. Data were drawn from the Three-City Cohort to 1) assess the screening accuracy of the QuoCo, and 2) compare its performance to that of serial MMSE tests applying different cut-offs. For the QuoCo, sensitivity was 74.2 (95% CI: 71.4-76.8) and specificity 84.1 (83.6-84.7) and for the MMSE < 24, 64.1 (61.1-67.0) and 94.8 (94.4-95.1), respectively; whereas overall accuracy and sensitivity was highest for MMSE cut-offs <25 and <26. User-friendly charts for mapping cognitive trajectories over visits with an alert for potentially 'abnormal' decline can be of practical use and encourage regular monitoring in primary care where the <24 cut-off is still widely used despite its poor sensitivity.< Réduire

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cognitive decline

dementia

early detection

education

Age

Alzheimer’s disease

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Mapping Cognitive Trajectories and Detecting Early Dementia Using the Mini-Mental State Examination Cognitive Charts: Application to the French Three-City Cohort

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