Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring (Jan 2018)

The personalized Alzheimer's disease cortical thickness index predicts likely pathology and clinical progression in mild cognitive impairment

  • Annie M. Racine,
  • Michael Brickhouse,
  • David A. Wolk,
  • Bradford C. Dickerson,
  • Alzheimer's Disease Neuroimaging Initiative

DOI
https://doi.org/10.1016/j.dadm.2018.02.007
Journal volume & issue
Vol. 10, no. 1
pp. 301 – 310

Abstract

Read online

Abstract Introduction An Alzheimer's disease (AD) biomarker adjusted for age‐related brain changes should improve specificity for AD‐related pathological burden. Methods We calculated a brain‐age‐adjusted “personalized AD cortical thickness index” (pADi) in mild cognitive impairment patients from the Alzheimer's Disease Neuroimaging Initiative. We performed receiver operating characteristic analysis for discrimination between patients with and without cerebrospinal fluid evidence of AD and logistic regression in an independent sample to determine if a dichotomized pADi predicted conversion to AD dementia. Results Receiver operating characteristic area under the curve was 0.69 and 0.72 in the two samples. Three empirical methods identified the same cut‐point for pADi in the discovery sample. In the validation sample, 83% of pADi+ mild cognitive impairment patients were cerebrospinal fluid AD biomarker positive. pADi+ mild cognitive impairment patients (n = 63, 38%) were more likely to progress to AD dementia after 1 (odds ratio = 2.9) and 3 (odds ratio = 2.6) years. Discussion The pADi is a personalized, magnetic resonance imaging–derived AD biomarker that predicts progression to dementia.

Keywords