Predicting the Risk of Alzheimer’s Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach
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...
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MDPI AG
2023-05-01
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author | Zhaoyi Chen Yuchen Yang Dazheng Zhang Jingchuan Guo Yi Guo Xia Hu Yong Chen Jiang Bian |
author_facet | Zhaoyi Chen Yuchen Yang Dazheng Zhang Jingchuan Guo Yi Guo Xia Hu Yong Chen Jiang Bian |
author_sort | Zhaoyi Chen |
collection | DOAJ |
description | 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. |
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language | English |
last_indexed | 2024-03-11T02:20:29Z |
publishDate | 2023-05-01 |
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spelling | doaj.art-85a5657e7c234e208b21e4c77dc6484f2023-11-18T10:54:05ZengMDPI AGInformatics2227-97092023-05-011024610.3390/informatics10020046Predicting the Risk of Alzheimer’s Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk ApproachZhaoyi Chen0Yuchen Yang1Dazheng Zhang2Jingchuan Guo3Yi Guo4Xia Hu5Yong Chen6Jiang Bian7Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32611, USADepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USADepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USADepartment of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, FL 32611, USADepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32611, USADepartment of Computer Science, Rice University, Houston, TX 77005, USADepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USADepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32611, USAAlzheimer’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.https://www.mdpi.com/2227-9709/10/2/46Alzheimer’s diseaseelectronic health recordcompeting risks |
spellingShingle | Zhaoyi Chen Yuchen Yang Dazheng Zhang Jingchuan Guo Yi Guo Xia Hu Yong Chen Jiang Bian Predicting the Risk of Alzheimer’s Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach Informatics Alzheimer’s disease electronic health record competing risks |
title | Predicting the Risk of Alzheimer’s Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach |
title_full | Predicting the Risk of Alzheimer’s Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach |
title_fullStr | Predicting the Risk of Alzheimer’s Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach |
title_full_unstemmed | Predicting the Risk of Alzheimer’s Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach |
title_short | Predicting the Risk of Alzheimer’s Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach |
title_sort | predicting the risk of alzheimer s disease and related dementia in patients with mild cognitive impairment using a semi competing risk approach |
topic | Alzheimer’s disease electronic health record competing risks |
url | https://www.mdpi.com/2227-9709/10/2/46 |
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