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Published on: October 13, 2016
Assessing Stages of Objective Memory Impairment and neuroimaging as risk factors of incident cognitive impairment
Kellen K Petersen1,2, Ali Ezzati1,3, Bhargav T Nallapu1,4
1Department of Neurology, Albert Einstein College of Medicine, New York City, NY, USA.
Objective:
The Stages of Objective Memory Impairment (SOMI) system, based on the Free and Cued Selective Reminding Test (FCSRT), is a potential marker of subtle cognitive impairment in cognitively normal persons defined by a Clinical Dementia Rating (CDR) = 0. We investigated SOMI's ability to predict incident cognitive impairment (CDR >0) in combination with demographic features and neuroimaging biomarkers.
Methods:
Cognitively unimpaired participants (CDR = 0) from the Harvard Aging Brain Study had baseline FCSRT scores, MRI, FDG-PET, and PiB-PET as well as follow-up CDRs for 5 years. Cox proportional hazards models with correction for multiple testing assessed the predictive validity of SOMI and neuroimaging biomarkers for progression (CDR >0). Comprehensive sensitivity analyses examined alternative outcomes and stricter screening criteria.
Results:
Participants (N = 231) were 73.7 years (SD = 6.0), 60.2% were female, 29.0% were APOE4 positive, and 54 (23.4%) progressed to CDR >0. At baseline, 67% were SOMI-0, 22% were SOMI-1, 4% were SOMI-2, and 7% were SOMI-3/4. After multiple testing correction, hazard ratios (HRs) using SOMI-0 as reference were: SOMI-1 = 2.06 (CI: 1.09 - 3.88), SOMI-2 = 2.85 (CI: 1.08 - 7.54), and SOMI-3/4 = 3.73 (CI: 1.58 - 8.79, p = 0.016). SOMI-3/4 remained significant across most biomarker models. Entorhinal thickness emerged as the most robust biomarker predictor (HR = 0.57 - 0.65, p ≤ 0.015). Sensitivity analyses confirmed robustness across alternative outcomes and stricter screening criteria.
Conclusions:
SOMI stages predict progression to incident cognitive impairment with SOMI-3/4 maintaining significance after rigorous multiple testing correction. Entorhinal thickness provides the strongest biomarker enhancement to prediction models. SOMI demonstrates substantial incremental predictive value beyond standard demographic and biomarker predictors.
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