痴呆
医学
危险系数
入射(几何)
队列
医学诊断
泊松回归
队列研究
比例危险模型
人口
老年学
作者
Milou J Angevaare,Jet M.J. Vonk,Laiss Bertola,Laura B. Zahodne,Caitlin Wei-Ming Watson,Amelia K. Boehme,Nicole Schupf,Richard Mayeux,Mirjam I. Geerlings,Jennifer J. Manly
出处
期刊:Neurology
[Ovid Technologies (Wolters Kluwer)]
日期:2021-12-01
卷期号:: 10.1212/WNL.0000000000013017-10.1212/WNL.0000000000013017
标识
DOI:10.1212/wnl.0000000000013017
摘要
Objective: To investigate socio-demographic and medical predictors of incident mild cognitive impairment (MCI) and subsequent course of MCI at follow-up, including sustained MCI diagnosis, classification as cognitively normal, and progression to dementia. Methods: Within a community-based cohort, diagnoses of MCI were made using a published algorithm. Diagnosis of dementia was based on clinical consensus. Cox regressions estimated hazard ratios of incident MCI associated with several predictors. Modified Poisson regressions estimated relative risks associated with predictors of diagnostic status at follow-up after incidence. Results: Among 2903 cognitively normal participants at baseline, 752 developed MCI over an average of 6.3 (SD=4.5) years (incidence rate: 56/1,000 person-years). Presence of APOE ε4 and higher medical burden increased risk of incident MCI, while more years of education, more leisure activities, and higher income decreased this risk. Of the incident MCI cases, after an average of 2.4 years follow-up, 12.9% progressed to dementia, 9.6% declined in functioning and did not meet the algorithmic criteria for MCI but did not meet the clinical criteria for dementia either, 29.6% continued to meet MCI criteria, and 47.9% no longer met MCI criteria. Multi-domain MCI, presence of APOE ε4, depressive symptoms and antidepressant use increased the risk of progression to dementia. Conclusions: This community-based study showed that almost half of the individuals with incident MCI diagnoses were classified as cognitively normal at follow-up. Predictors of incident MCI demonstrably differed from those of subsequent MCI course; these findings can refine expectations for cognitive and functional course of those presenting with MCI.
科研通智能强力驱动
Strongly Powered by AbleSci AI