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Donepezil delays progression to AD in MCI subjects with depressive symptoms.

ABSTRACT: To determine whether the presence of depression predicts higher rate of progression to Alzheimer disease (AD) in patients with amnestic mild cognitive impairment (aMCI) and whether donepezil treatment beneficially affect this relationship.The study sample was composed of 756 participants with aMCI from the 3-year, double-blind, placebo-controlled Alzheimer's Disease Cooperative Study drug trial of donepezil and vitamin E. Beck Depression Inventory (BDI) was used to assess depressive symptoms at baseline and participants were followed either to the end of study or to the primary endpoint of progression to probable or possible AD.Cox proportional hazards regression, adjusted for age at baseline, gender, apolipoprotein genotype, and NYU paragraph delayed recall score, showed that higher BDI scores were associated with progression to AD (p = 0.03). The sample was stratified into depressed (BDI score > or =10; n = 208) and nondepressed (BDI <10; n = 548) groups. Kaplan-Meier analysis showed that among the depressed subjects, the proportion progressing to AD was lower for the donepezil group than the combined vitamin E and placebo groups at 1.7 years (p = 0.023), at 2.2 years (p = 0.025), and remained marginally lower at 2.7 years (p = 0.070). The survival curves among the three treatment groups did not differ within the nondepressed participants.Results suggest that depression is predictive of progression from amnestic mild cognitive impairment (aMCI) to Alzheimer disease (AD) and treatment with donepezil delayed progression to AD among depressed subjects with aMCI. Donepezil appears to modulate the increased risk of AD conferred by the presence of depressive symptoms.

SUBMITTER: Lu PH

PROVIDER: S-EPMC2697965 | biostudies-literature | 2009 Jun

REPOSITORIES: biostudies-literature

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Donepezil delays progression to AD in MCI subjects with depressive symptoms.

Lu P H PH Edland S D SD Teng E E Tingus K K Petersen R C RC Cummings J L JL

Neurology 20090601 24

<h4>Objective</h4>To determine whether the presence of depression predicts higher rate of progression to Alzheimer disease (AD) in patients with amnestic mild cognitive impairment (aMCI) and whether donepezil treatment beneficially affect this relationship.<h4>Methods</h4>The study sample was composed of 756 participants with aMCI from the 3-year, double-blind, placebo-controlled Alzheimer's Disease Cooperative Study drug trial of donepezil and vitamin E. Beck Depression Inventory (BDI) was used ...[more]

PMID: 19528519

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Project description:Alzheimer's Disease (AD) and other neurodegenerative diseases affect over 20 million people worldwide, and this number is projected to significantly increase in the coming decades. Proposed imaging-based markers have shown steadily improving levels of sensitivity/specificity in classifying individual subjects as AD or normal. Several of these efforts have utilized statistical machine learning techniques, using brain images as input, as means of deriving such AD-related markers. A common characteristic of this line of research is a focus on either (1) using a single imaging modality for classification, or (2) incorporating several modalities, but reporting separate results for each. One strategy to improve on the success of these methods is to leverage all available imaging modalities together in a single automated learning framework. The rationale is that some subjects may show signs of pathology in one modality but not in another-by combining all available images a clearer view of the progression of disease pathology will emerge. Our method is based on the Multi-Kernel Learning (MKL) framework, which allows the inclusion of an arbitrary number of views of the data in a maximum margin, kernel learning framework. The principal innovation behind MKL is that it learns an optimal combination of kernel (similarity) matrices while simultaneously training a classifier. In classification experiments MKL outperformed an SVM trained on all available features by 3%-4%. We are especially interested in whether such markers are capable of identifying early signs of the disease. To address this question, we have examined whether our multi-modal disease marker (MMDM) can predict conversion from Mild Cognitive Impairment (MCI) to AD. Our experiments reveal that this measure shows significant group differences between MCI subjects who progressed to AD, and those who remained stable for 3 years. These differences were most significant in MMDMs based on imaging data. We also discuss the relationship between our MMDM and an individual's conversion from MCI to AD.

Dataset Information

Donepezil delays progression to AD in MCI subjects with depressive symptoms.

Publications

Donepezil delays progression to AD in MCI subjects with depressive symptoms.

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