Generalizability of the Disease State Index prediction model for identifying patients progressing from mild cognitive impairment to Alzheimer’s disease

Journal of Alzheimer’s Disease

A. Hall, M. Muñoz-Ruiz, J. Mattila, J. Koikkalainen, M. Tsolaki, P. Mecocci, I. Kloszewska, B. Vellas, S. Lovestone, P. J. Visser, J. Lötjönen, H. Soininen

In this study, the accuracy of the Disease State Index to predict progression of mild cognitive impairment to Alzheimer’s disease was evaluated. The data included age- and gender-corrected MRI features from hippocampal volumetry, multi-template tensor-based morphometry, and voxel-based morphometry; MMSE; APOE genotype; neuropsychological tests; and cerebrospinal fluid measurements. As a result, the Disease State Index model classified patients as stable or with progressive mild cognitive impairment across four cohorts.