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Predicting Conversion from Mild Cognitive Impairment to Alzheimer’s Disease using Partially Ordered Models of Neuopsychological Measurements

Yang, Yan
http://rave.ohiolink.edu/etdc/view?acc_num=case1310137640

Abstract Details

2011, Master of Sciences, Case Western Reserve University, Clinical Research.
Background: 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.
Douglas Einstadter, MD (Committee Chair)
Alan J. Lerner, MD (Advisor)
Curtis Tatsuoka, PhD (Committee Member)
68 p.
Aging; Cognitive Psychology; Mental Health; Neurology; Psychological Tests
Alzheimer&8217; s disease; Mild Cognitive Impairment; neuropsychological functioning; conversion prediction; Partially Ordered Sets

Recommended Citations

Citations

  • Yang, Y. (2011). Predicting Conversion from Mild Cognitive Impairment to Alzheimer’s Disease using Partially Ordered Models of Neuopsychological Measurements [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1310137640

    APA Style (7th edition)

  • Yang, Yan. Predicting Conversion from Mild Cognitive Impairment to Alzheimer’s Disease using Partially Ordered Models of Neuopsychological Measurements. 2011. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1310137640.

    MLA Style (8th edition)

  • Yang, Yan. "Predicting Conversion from Mild Cognitive Impairment to Alzheimer’s Disease using Partially Ordered Models of Neuopsychological Measurements." Master's thesis, Case Western Reserve University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1310137640

    Chicago Manual of Style (17th edition)

case1310137640
831
© 2011, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.