Predicting Alzheimer's disease development: a comparison of cognitive criteria and associated neuroimaging biomarkers.

TitlePredicting Alzheimer's disease development: a comparison of cognitive criteria and associated neuroimaging biomarkers.
Publication TypeJournal Article
Year of Publication2015
AuteursCallahan, BL, Ramirez, J, Berezuk, C, Duchesne, S, Black, SE
Corporate AuthorsAlzheimer’s Disease Neuroimaging Initiative
JournalAlzheimers Res Ther
Volume7
Issue1
Pagination68
Date Published2015 Nov 05
ISSN1758-9193
KeywordsAged, Aged, 80 and over, Alzheimer Disease, Apolipoprotein E4, Area Under Curve, Brain, Databases, Factual, Female, Follow-Up Studies, Humans, Magnetic Resonance Imaging, Male, Memory Disorders, Memory, Episodic, Middle Aged, Neuropsychological Tests, Prognosis, ROC Curve, Sensitivity and Specificity
Abstract

INTRODUCTION: The definition of "objective cognitive impairment" in current criteria for mild cognitive impairment (MCI) varies considerably between research groups and clinics. This study aims to compare different methods of defining memory impairment to improve prediction models for the development of Alzheimer's disease (AD) from baseline to 24 months.METHODS: The sensitivity and specificity of six methods of defining episodic memory impairment (< -1, -1.5 or -2 standard deviations [SD] on one or two memory tests) were compared in 494 non-demented seniors from the Alzheimer's Disease Neuroimaging Initiative using the area under the curve (AUC) for receiver operating characteristic analysis. The added value of non-memory measures (language and executive function) and biomarkers (hippocampal and white-matter hyperintensity volume, brain parenchymal fraction [BPF], and APOEε4 status) was investigated using logistic regression.RESULTS: Baseline scores < -1 SD on two memory tests predicted AD with 75.91 % accuracy (AUC = 0.80). Only APOE ε4 status further improved prediction (B = 1.10, SE = 0.45, p = .016). A < -1.5 SD cut-off on one test had 66.60 % accuracy (AUC = 0.77). Prediction was further improved using Trails B/A ratio (B = 0.27, SE = 0.13, p = .033), BPF (B = -15.97, SE = 7.58, p = .035), and APOEε4 status (B = 1.08, SE = 0.45, p = .017). A cut-off of < -2 SD on one memory test (AUC = 0.77, SE = 0.03, 95 % CI 0.72-0.82) had 76.52 % accuracy in predicting AD. Trails B/A ratio (B = 0.31, SE = 0.13, p = .017) and APOE ε4 status (B = 1.07, SE = 0.46, p = .019) improved predictive accuracy.CONCLUSIONS: Episodic memory impairment in MCI should be defined as scores < -1 SD below normative references on at least two measures. Clinicians or researchers who administer a single test should opt for a more stringent cut-off and collect and analyze whole-brain volume. When feasible, ascertaining APOE ε4 status can further improve prediction.

DOI10.1186/s13195-015-0152-z
Alternate JournalAlzheimers Res Ther
PubMed ID26537709
PubMed Central IDPMC4634913
Grant ListU01 AG024904 / AG / NIA NIH HHS / United States
/ / Canadian Institutes of Health Research / Canada