![McWilliams School of Biomedical Informatics](../../assets/md5images/f59dc081b7356339757ba9861fe6e1e1.jpg)
Journal Articles
Publication Date
6-1-2023
Journal
Informatics
Abstract
Alzheimer's disease (AD) and AD-related dementias (AD/ADRD) are a group of progressive neurodegenerative diseases. The progression of AD can be conceptualized as a continuum in which patients progress from normal cognition to preclinical AD (i.e., no symptoms but biological changes in the brain) to mild cognitive impairment (MCI) due to AD (i.e., mild symptoms but not interfere with daily activities), followed by increasing severity of dementia due to AD. Early detection and prediction models for the transition of MCI to AD/ADRD are needed, and efforts have been made to build predictions of MCI conversion to AD/ADRD. However, most existing studies developing such prediction models did not consider the competing risks of death, which may result in biased risk estimates. In this study, we aim to develop a prediction model for AD/ADRD among patients with MCI considering the competing risks of death using a semi-competing risk approach.
Keywords
Alzheimer’s disease, electronic health record, competing risks
Included in
Biomedical Informatics Commons, Cognitive Science Commons, Mental and Social Health Commons, Neurosciences Commons
Comments
PMID: 38919750