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Cognitive/Functional Measures Predict Alzheimer’s Disease, Dependent on Hippocampal Volume

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  • Hossein Tabatabaei-JafariMD
  • Marnie E ShawPhD
  • Erin WalshPhD
  • Nicolas CherbuinPhD
  • Nicole AndersonPhD, CPsych

Abstract

ObjectivesThis study aimed to investigate the predictive value of cognitive/functional measures in combination with hippocampal volume (HCV) on the probability of conversion from mild cognitive impairment (MCI) to Alzheimer’s disease (AD).MethodsThe Rey Auditory Verbal Learning Test for immediate memory, Mini-Mental State Examination, a functional assessment for independent daily activities and Alzheimer’s Disease Assessment Scale were used as cognitive/functional measures and HCV as neuroimaging measure. Logistic regression and Cox proportional hazard analyses were used to explore the measures’ predictive values for AD conversion and time to conversion.ResultsThe probability of conversion from MCI to AD was associated with cognitive function, but this was moderated by HCV: higher at lower HCV and lower at higher HCV. General cognitive/functional measures were less predictive than immediate memory in predicting time to conversion to AD at small HCVs.ConclusionEffectiveness of cognitive measures and subtle functional abnormality in predicting conversion from MCI to AD is dependent on HCV, thus combined evaluation should be considered. A combination of HCV and immediate memory appear to perform best in predicting time to conversion.

Suggested Citation

  • Hossein Tabatabaei-JafariMD & Marnie E ShawPhD & Erin WalshPhD & Nicolas CherbuinPhD & Nicole AndersonPhD, CPsych, 2020. "Cognitive/Functional Measures Predict Alzheimer’s Disease, Dependent on Hippocampal Volume," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 75(7), pages 1393-1402.
    • Handle: RePEc:oup:geronb:v:75:y:2020:i:7:p:1393-1402.
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