Shan Guogen, Zhang Yahui
Department of Biostatistics, University of Florida, Gainesville, FL, USA.
J Alzheimers Dis Rep. 2025 Jul 10;9:25424823251359541. doi: 10.1177/25424823251359541. eCollection 2025 Jan-Dec.
The majority of mild cognitive impairment (MCI) patients who converted to dementia in later years have Alzheimer's disease (AD) pathology. The second most common type of dementia is Lewy body (LB) dementia.
In this project, we are interested in identifying the risk factors that predict who will develop AD dementia or LB dementia in later years.
Cox proportional hazards model and machine learning survival methods for interval-censored data were used to identify the risk factors that predict the onset of dementia for MCI patients with AD or LB pathology.
We found that orientation, memory, and irritability scores were useful in predicting AD dementia onset, while daily living, depression, and executive function scores were identified as strong predictors in the LB cohort.
Different neurocognitive domains were predictive for conversion to dementia from MCI in patients with AD or LB pathology. The depression scale and functional activities were found to be predictive of LB dementia while irritability or lability severity score from Neuropsychiatric Inventory Questionnaire was associated with the onset of AD dementia.
大多数在晚年转变为痴呆症的轻度认知障碍(MCI)患者患有阿尔茨海默病(AD)病理特征。第二常见的痴呆类型是路易体(LB)痴呆。
在本项目中,我们感兴趣的是确定预测谁会在晚年发展为AD痴呆或LB痴呆的风险因素。
使用Cox比例风险模型和针对区间删失数据的机器学习生存方法,来确定预测患有AD或LB病理特征的MCI患者痴呆症发病的风险因素。
我们发现定向、记忆和易怒得分有助于预测AD痴呆症的发病,而日常生活、抑郁和执行功能得分被确定为LB队列中的强预测因素。
不同的神经认知领域可预测患有AD或LB病理特征的患者从MCI转变为痴呆症。发现抑郁量表和功能活动可预测LB痴呆,而神经精神科问卷中的易怒或情绪不稳定严重程度得分与AD痴呆症的发病有关。