[DOWNLOAD] "Predicting Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Using Partially Ordered Models of Neuopsychological Measurements" by Yan Yang ~ eBook PDF Kindle ePub Free
eBook details
- Title: Predicting Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Using Partially Ordered Models of Neuopsychological Measurements
- Author : Yan Yang
- Release Date : January 18, 2013
- Genre: Medical,Books,Professional & Technical,
- Pages : * pages
- Size : 6759 KB
Description
Mild cognitive impairment (MCI) is a risk factor for conversion to Alzheimer’s disease (AD). Objectives: To identify predictors of the conversion of MCI to AD. Methods: Data from Alzheimer’s Disease Cooperative study (ADCS) MCI patients. Cognitive functionality profiles were identified using partially ordered sets models (posets) for each subjects, and linked to AD conversion, stratified by APOE-e4 status. Results: Low episodic memory (LEM) (RR=3.7), APOE-e4 (RR2.7) and the higher percentage rate of LEM and APOE-e4 were strongly associated with conversion of MCI to AD. The effect of LEM on AD was modified by APOE-e4: LEM alone RR+4.5; LEM and PAPOE-e4 combined RR=2.8. Conclusion: Among MCI subjects, LEM is a strong predictor of conversion to AD. APOE-e4 modifies the effect of LEM. Posets allows finer stratification of MCI patients and may be help in defining more heterogeneity of cognitive functionality among MCI for early-stage studies.