INTRODUCTION: The definition of "objective @entity73 " in current criteria for @entity73 ( @entity73 ) varies considerably between research groups and clinics. This study aims to compare different methods of defining @entity2414 to improve prediction models for the development of @entity195 ( @entity195 ) from baseline to 24  months. METHODS: The sensitivity and specificity of six methods of @entity2414 (< -1, -1.5 or -2 standard deviations [SD] on one or two memory tests) were compared in 494 non-demented seniors from the @entity195 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 @entity2204 status) was investigated using logistic regression. RESULTS: Baseline scores   <   -1 SD on two memory tests predicted @entity195 with 75.91  % accuracy (AUC   =   0.80). Only @entity2204 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 @entity2204 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 @entity195 . Trails B/A ratio (B   =   0.31, SE   =   0.13, p   =   .017) and @entity2204 status (B   =   1.07, SE   =   0.46, p   =   .019) improved predictive accuracy. CONCLUSIONS: Episodic @entity2414 in @entity73 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 @entity2204 status can further improve prediction.

Predicting XXXX development: a comparison of cognitive criteria and associated neuroimaging biomarkers.

@entity73 :: ('MESH:D003072', 'Disease') :: ['cognitive impairment', 'MCI', 'mild cognitive impairment'] @entity2414 :: ('MESH:D008569', 'Disease') :: ['memory impairment', 'defining episodic memory impairment'] @entity2204 :: ('348', 'Gene') :: ['APOE  4', 'APOE   4'] @entity195 :: ('MESH:D000544', 'Disease') :: ['AD', "Alzheimer's disease", "Alzheimer's Disease"]
@entity195 :: (MESH:D000544,Disease) :: ['Alzheimer's disease']
