Risk factors of transition from mild cognitive impairment to Alzheimer's disease and death: A cohort study

被引:42
作者
Xue, Haihong [1 ]
Sun, Qianqian [1 ]
Liu, Long [1 ]
Zhou, Liye [2 ]
Liang, Ruifeng [3 ]
He, Runlian [4 ]
Yu, Hongmei [1 ]
机构
[1] Shanxi Med Univ, Sch Publ Hlth, Dept Hlth Stat, Taiyuan, Shanxi, Peoples R China
[2] Shanxi Med Univ, Sch Basic Med Sci, Dept Math, Taiyuan, Shanxi, Peoples R China
[3] Shanxi Med Univ, Sch Publ Hlth, Dept Environm Hlth, Taiyuan, Shanxi, Peoples R China
[4] Taiyuan Cent Hosp, Dept Nursing, Taiyuan, Shanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
MULTISTATE MODELS; DEMENTIA; EPIDEMIOLOGY; PREVENTION; CRITERIA; TIME;
D O I
10.1016/j.comppsych.2017.07.003
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Background: Knowledge of risk factors is essential for developing strategies that prevent or minimise transitions from mild cognitive impairment (MCI) to Alzheimer's disease (AD) and death. The aim of this study was to assess risk factors for progression to AD and death among Chinese individuals with cognitive impairment. Methods: We conducted a multisite, population-based cohort study on 437 community-dwelling elderly MCI residents in Taiyuan, China from 2010 to 2014. MCI, AD, death from AD and death from a cause other than AD were specified as disease states during the natural history of dementia. Transition-specific Cox model was fitted and hazard ratio (HR) with 95% confidence intervals (CIs) was estimated. Results: Analyses showed that risk factors played different roles in affecting transitions to AD and death. Risk factors for transition from MCI to AD were being female (HR: 1.82; 95%CI: 1.20-2.77), older age (HR: 3.09; 95%CI: 1.81-5.25), reading occasionally (HR: 1.79; 95%CI: 1.11-2.89), current smoking (HR: 1.74; 95%CI: 1.15-2.65), light moderate alcohol drinker (HR: 2.24; 95%CI: 1.42-3.53), cerebrovascular disease (HR: 2.70; 95%CI: 1.68-4.34), hyperlipidemia (HR: 1.87; 95%CI: 1.16-3.02) and diabetes (HR: 1.81; 95%CI: 1.18-2.77). Only cerebrovascular disease (HR: 3.04; 95%CI: 1.22-7.58) was a significant risk factor for transition from MCI to death from a cause other than AD. Older age (HR: 10.68; 95%CI: 1.16-97.93) and low level education (HR: 0.14; 95%CI: 0.05-0.44) were significant predictors for transition from AD to death from a cause other than AD. Conclusions: Participants with advanced age, low-level education, history of harmful alcohol consumption or smoking, cerebrovascular disease, hyperlipidemia, diabetes or who were female were at increased risk of transitioning to AD or death. Strategies to control modifiable risk factors in specific disease stage should be implemented to decrease the conversion to AD or death among Chinese patients with MCI. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:91 / 97
页数:7
相关论文
共 41 条
[1]  
Allegri RF, 2010, APPL PHYS LETT, V4, P2912
[2]  
Alzheimer's Association, 2016, Alzheimers Dement, V12, P459
[3]   Annual rate and predictors of conversion to dementia in subjects presenting mild cognitive impairment criteria defined according to a population-based study [J].
Amieva, H ;
Letenneur, L ;
Dartigues, JL ;
Rouch-Leroyer, I ;
Sourgen, C ;
D'Alchée-Birée, F .
DEMENTIA AND GERIATRIC COGNITIVE DISORDERS, 2004, 18 (01) :87-93
[4]   Inference for outcome probabilities in multi-state models [J].
Andersen, Per Kragh ;
Perme, Maja Pohar .
LIFETIME DATA ANALYSIS, 2008, 14 (04) :405-431
[5]   A global assessment of dementia, now and in the future [J].
不详 .
LANCET, 2015, 386 (9997) :931-931
[6]   Epidemiology of Alzheimer's disease and other forms of dementia in China, 1990-2010: a systematic review and analysis [J].
Chan, Kit Yee ;
Wang, Wei ;
Wu, Jing Jing ;
Liu, Li ;
Theodoratou, Evropi ;
Car, Josip ;
Middleton, Lefkos ;
Russ, Tom C. ;
Deary, Ian J. ;
Campbell, Harry ;
Wang, Wei ;
Rudan, Igor .
LANCET, 2013, 381 (9882) :2016-2023
[7]   Alzheimer's Disease is Incurable but Preventable [J].
de la Torre, Jack C. .
JOURNAL OF ALZHEIMERS DISEASE, 2010, 20 (03) :861-870
[8]  
de Wreede LC, 2011, J STAT SOFTW, V38, P1
[9]   The mstate package for estimation and prediction in non- and semi-parametric multi-state and competing risks models [J].
de Wreede, Liesbeth C. ;
Fiocco, Marta ;
Putter, Hein .
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2010, 99 (03) :261-274
[10]   Smoking and increased Alzheimer's disease risk: A review of potential mechanisms [J].
Durazzo, Timothy C. ;
Mattsson, Niklas ;
Weiner, Michael W. .
ALZHEIMERS & DEMENTIA, 2014, 10 (03) :S122-S145