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O3‐03‐03: Cognition, hippocampal volume and fibrillar Aβ burden as predictors of cognitive decline: Three‐year follow‐up results from AIBL
Author(s) -
Rowe Christopher,
Ellis Kathryn,
Brown Belinda,
Bourgeat Pierrick,
Faux Noel,
Martins Ralph,
Salvado Olivier,
Masters Colin,
Ames David,
Villemagne Victor
Publication year - 2012
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2012.05.1154
Subject(s) - dementia , medicine , pittsburgh compound b , memory clinic , cognitive decline , cognitive impairment , alzheimer's disease , psychology , gerontology , oncology , disease
follow-up by 3 years. Within each sample, the differences in AUCs between the statistical models were very similar. Adding hippocampal and entorhinal cortex volumes to the model containing AVLT/SRT, FAQ, age and MMSE increased the area under the curve (AUC) in ADNI (P1⁄40.0035) but not QD (P1⁄40.20), with sensitivity increasing by 2% in ADNI and 2% in QD for a fixed specificity of 80%. Conversely, adding episodic verbal memory (SRT/AVLT) and FAQ to the model containing age, Mini Mental State Exam (MMSE), hippocampal and entorhinal cortex volumes increased the AUC in ADNI (P<0.0001) and QD (P1⁄40.0254), with sensitivity increasing by 17% in ADNI and 10% in QD for 80% specificity. Conclusions: The predictor models showed similar differences from each other in both studies, supporting independent validation. MRI hippocampal and entorhinal cortex volumes showed limited added predictive utility to assessment of memory and informant report of function. Evaluation of cognitive function and the informant’s report of functional decline is important, and validation of biomarkers with the use of the same cut-points and ranges for abnormality across studies is needed before considering widespread clinical application.