scholarly journals BAYESIAN VALUE-OF-INFORMATION ANALYSIS

2001 ◽  
Vol 17 (1) ◽  
pp. 38-55 ◽  
Author(s):  
Karl Claxton ◽  
Peter J. Neumann ◽  
Sally Araki ◽  
Milton C. Weinstein
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Treatment Strategy ◽  
Value Of Information ◽  
The United States ◽  
Information Value ◽  
Theoretic Approach ◽  
Information Analysis ◽  
Value Of Information Analysis ◽  
Optimal Sample

A framework is presented that distinguishes the conceptually separate decisions of which treatment strategy is optimal from the question of whether more information is required to inform this choice in the future. The authors argue that the choice of treatment strategy should be based on expected utility, and the only valid reason to characterize the uncertainty surrounding outcomes of interest is to establish the value of acquiring additional information. A Bayesian decision theoretic approach is demonstrated through a probabilistic analysis of a published policy model of Alzheimer's disease. The expected value of perfect information is estimated for the decision to adopt a new pharmaceutical for the population of patients with Alzheimer's disease in the United States. This provides an upper bound on the value of additional research. The value of information is also estimated for each of the model inputs. This analysis can focus future research by identifying those parameters where more precise estimates would be most valuable and indicating whether an experimental design would be required. We also discuss how this type of analysis can also be used to design experimental research efficiently (identifying optimal sample size and optimal sample allocation) based on the marginal cost and marginal benefit of sample information. Value-of-information analysis can provide a measure of the expected payoff from proposed research, which can be used to set priorities in research and development. It can also inform an efficient regulatory framework for new healthcare technologies: an analysis of the value of information would define when a claim for a new technology should be deemed substantiated and when evidence should be considered competent and reliable when it is not cost-effective to gather any more information.

Leveraging Technology in Detection of Alzheimer’s Disease: A Systematic Review (Preprint)

2019 ◽  
Author(s):  
Clemens Kruse ◽  
Britney Larson ◽  
Reagan Wilkinson ◽  
Roger Samson ◽  
Taylor Castillo
Keyword(s):  
Magnetic Resonance Imaging ◽  
United States ◽  
Systematic Review ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
The United States ◽  
Diagnostic Process ◽  
Resonance Imaging ◽  
Common Cause ◽  
Key Terms

BACKGROUND Incidence of AD continues to increase, making it the most common cause of dementia and the sixth-leading cause of death in the United States. 2018 numbers are expected to double by 2030. OBJECTIVE We examined the benefits of utilizing technology to identify and detect Alzheimer’s disease in the diagnostic process. METHODS We searched PubMed and CINAHL using key terms and filters to identify 30 articles for review. We analyzed these articles and reported them in accordance with the PRISMA guidelines. RESULTS We identified 11 technologies used in the detection of Alzheimer’s disease: 66% of which used some form of MIR. Functional, structural, and 7T magnetic resonance imaging were all used with structural being the most prevalent. CONCLUSIONS MRI is the best form of current technology being used in the detection of Alzheimer’s disease. MRI is a noninvasive approach that provides highly accurate results in the diagnostic process of Alzheimer’s disease.

Evaluation of inspection features including exposure risk using a value of information analysis

2021 ◽  
Vol 38 (1) ◽  
pp. 36-58
Author(s):  
Domenic Di Francesco ◽  
Marios Chryssanthopoulos ◽  
Michael Havbro Faber ◽  
Ujjwal Bharadwaj
Keyword(s):  
Value Of Information ◽  
Information Analysis ◽  
Exposure Risk ◽  
Value Of Information Analysis ◽  
A Value

380 Projected incidence of Alzheimer's disease in the United States

1996 ◽  
Vol 17 (4) ◽  
pp. S95
Author(s):  
L. Hebert ◽  
P. Scherr ◽  
L. Beckett ◽  
D. Evans
Keyword(s):  
United States ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
The United States

scholarly journals Mathematical analysis of the influence of brain metabolism on the BOLD signal in Alzheimer’s disease

2017 ◽  
Vol 38 (2) ◽  
pp. 304-316 ◽  
Author(s):  
Felix Winter ◽  
Catrin Bludszuweit-Philipp ◽  
Olaf Wolkenhauer
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Resting State Fmri ◽  
Blood Oxygen Level Dependent ◽  
Peak Height ◽  
Brain Dysfunction ◽  
Patient Specific ◽  
Theoretic Approach ◽  
Hemodynamic Response Function ◽  
Clinical Tool

Blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) is a standard clinical tool for the detection of brain activation. In Alzheimer’s disease (AD), task-related and resting state fMRI have been used to detect brain dysfunction. It has been shown that the shape of the BOLD response is affected in early AD. To correctly interpret these changes, the mechanisms responsible for the observed behaviour need to be known. The parameters of the canonical hemodynamic response function (HRF) commonly used in the analysis of fMRI data have no direct biological interpretation and cannot be used to answer this question. We here present a model that allows relating AD-specific changes in the BOLD shape to changes in the underlying energy metabolism. According to our findings, the classic view that differences in the BOLD shape are only attributed to changes in strength and duration of the stimulus does not hold. Instead, peak height, peak timing and full width at half maximum are sensitive to changes in the reaction rate of several metabolic reactions. Our systems-theoretic approach allows the use of patient-specific clinical data to predict dementia-driven changes in the HRF, which can be used to improve the results of fMRI analyses in AD patients.

scholarly journals The Role of Oxidative Stress-Induced Epigenetic Alterations in Amyloid-βProduction in Alzheimer’s Disease

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Li Zuo ◽  
Benjamin T. Hemmelgarn ◽  
Chia-Chen Chuang ◽  
Thomas M. Best
Keyword(s):  
Oxidative Stress ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Amyloid Beta ◽  
Treatment Options ◽  
Memory Loss ◽  
The United States ◽  
Traditional Medicines ◽  
Progressive Neurodegeneration ◽  
Antioxidant Supplements

An increasing number of studies have proposed a strong correlation between reactive oxygen species (ROS)-induced oxidative stress (OS) and the pathogenesis of Alzheimer’s disease (AD). With over five million people diagnosed in the United States alone, AD is the most common type of dementia worldwide. AD includes progressive neurodegeneration, followed by memory loss and reduced cognitive ability. Characterized by the formation of amyloid-beta (Aβ) plaques as a hallmark, the connection between ROS and AD is compelling. Analyzing the ROS response of essential proteins in the amyloidogenic pathway, such as amyloid-beta precursor protein (APP) and beta-secretase (BACE1), along with influential signaling programs of nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) and c-Jun N-terminal kinase (JNK), has helped visualize the path between OS and Aβoverproduction. In this review, attention will be paid to significant advances in the area of OS, epigenetics, and their influence on Aβplaque assembly. Additionally, we aim to discuss available treatment options for AD that include antioxidant supplements, Asian traditional medicines, metal-protein-attenuating compounds, and histone modifying inhibitors.

Effect of Alzheimer’s Training on Multicultural Personal Care Aides

2008 ◽  
Vol 9 (1) ◽  
pp. 4-10 ◽  
Author(s):  
Robin C. Fenley ◽  
Sarah J. Bober ◽  
Mebane E. Powell ◽  
Jacquelin Berman ◽  
Barbara N. Altman
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
New York ◽  
New York City ◽  
York City ◽  
The United States ◽  
Personal Care ◽  
Entry Level ◽  
Before And After ◽  
Item Knowledge

This article reports on the first 2 years of an ongoing project that examined the efficacy of a 10-hour dementia training provided to entry-level personal care aide (PCA) trainees from the Hispanic, White, African American, and Asian communities in New York City. Participants were enrolled in a 90-hour PCA training program offered by the New York City Department for the Aging and were either recipients of public assistance, displaced employees from September 11, or recent immigrants to the United States from China. Classes were conducted in Spanish, English, and Mandarin/Cantonese. An 11-item Knowledge of Alzheimer’s Disease instrument was developed for the purposes of this project and administered before and after the dementia training and at 3 months following graduation. All groups, regardless of language, showed a significant increase in knowledge of Alzheimer’s disease at the conclusion of the training and retention of this knowledge at 3 months follow-up. Age was strongly correlated with an increase in knowledge, while gender and education were not.

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