Multivariate analysis improves on cognitive testing in Alzheimer's disease

A new research article from Pablo Moscato and colleagues, from the Hunter Medical Research Institute and University of Newcastle (Australia), presents a multivariate approach intended to improve on the MMSE test.

The study saw an analysis of 3717 patients from the Coalition Against Major Diseases dataset, with five groups of patients identified: cognisant, inattentive, forgetful, distant and absent. The groups were distinct in terms of both characteristics and prognostics. Furthermore, out of the five MMSE questionnaire categories only three were found to be critical for grouping: registration, attention and recall.

"This project [was] motivated by the observation that the CAMD database is an aggregation of several trials that employed varying cognitive test versions and are therefore generally incompatible or not directly comparable among each other in terms of the calculated patients' overall cognitive performance," noted the authors. "Our goal [was] to resolve which test categories contribute to the patient group differentiation the most and to build a model that can be employed to reliably assign a patient to an AD cognitive group associated with certain impairment characteristics and clinical prognosis, independent of the questionnaire version."

The researchers also analyzed transitions between groups. Inna Tishchenko, first author, commented: "we analyzed the cognitive performance of AD patients over a time frame of up to 4 years and obtained hints that multivitamins might slow progression only in the group that presents a mild impairment in recalling." Furthermore, they provide insight into the progression pathways of AD, and highlight the possible existence of subgroups.