Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/134944
Title: MODELING ALZHEIMER'S DISEASE PROGRESSION ON A PATHOLOGICAL TIMELINE
Authors: CHUA LAIYI
Keywords: ALZHEIMER'S DISEASE,DISEASE PROGRESSION
Issue Date: 17-Aug-2015
Source: CHUA LAIYI (2015-08-17). MODELING ALZHEIMER'S DISEASE PROGRESSION ON A PATHOLOGICAL TIMELINE. ScholarBank@NUS Repository.
Abstract: Despite numerous initiatives and extensive data, there is still a major deficiency in the disease progression characterization of Alzheimer's Disease (AD). The objective of this work is to contribute to the characterization of AD through the development of a pathophysiologically meaningful model using commonly collected disease markers. Data from the AD Neuroimaging Initiative were characterized and used to construct a two-stage disease progression model. Firstly, subjects from different symptomatic stages were positioned on a common pathological timeline. An AD progression population model was developed using the synchronized profiles and covariates were tested on the rate of disease progression. Lower fluorodeoxyglucose uptake was found to be associated with faster disease progression while younger age is associated with faster decline in fluorodeoxyglucose uptake. Clinical trial simulations demonstrated that the use of fluorodeoxyglucose could potentially reduce the number of subjects needed and shorten the study duration for evaluating disease-modifying therapies. This approach improved the quantitative characterization of AD by providing a platform to integrate data from subjects regardless of their symptomatic groups. The identification and understanding of how covariates affect disease progression helped to elucidate the demographic-biomarker-clinical relationships between subjects. Results provided important insights for clinical trial implementation of AD.
URI: http://scholarbank.nus.edu.sg/handle/10635/134944
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