Person‐specific contribution of neuropathologies to cognitive loss in old age

神经病理学 认知功能衰退 痴呆 海马硬化 认知 共病 疾病 医学 心理学 人口 队列 精神科 病理 颞叶 环境卫生 癫痫
作者
Patricia A. Boyle,Lei Yu,R. J. Wilson,Sue E. Leurgans,Julie A. Schneider,David A. Bennett
出处
期刊:Annals of Neurology [Wiley]
卷期号:83 (1): 74-83 被引量:426
标识
DOI:10.1002/ana.25123
摘要

Objective Mixed neuropathologies are the most common cause of dementia at the population level, but how different neuropathologies contribute to cognitive decline at the individual level remains unknown. We quantified the contribution of 9 neuropathologies to cognitive loss at an individual level. Methods Participants (n = 1,079) came from 2 longitudinal clinical–pathologic studies of aging. All completed 2 + cognitive evaluations (maximum = 22), died, and underwent neuropathologic examinations to identify Alzheimer disease (AD), other neurodegenerative diseases, and vascular pathologies. Linear mixed models examined associations of neuropathologies with cognitive decline and estimated the proportion of cognitive loss accounted for by each neuropathology at a person‐specific level. Results Neuropathology was ubiquitous, with 94% of participants having 1+, 78% having 2+, 58% having 3+, and 35% having 4+. AD was most frequent (65%) but rarely occurred in isolation (9%). Remarkably, >230 different neuropathologic combinations were observed, each of which occurred in <6% of the cohort. The relative contributions of specific neuropathologies to cognitive loss varied widely across individuals. Although AD accounted for an average of about 50% of the observed cognitive loss, the proportion accounted for at the individual level ranged widely from 22% to 100%. Lewy bodies and hippocampal sclerosis also had potent effects, but again their impacts varied at the person‐specific level. Interpretation There is much greater heterogeneity in the comorbidity and cognitive impact of age‐related neuropathologies than currently appreciated, suggesting an urgent need for novel therapeutic approaches that embrace the complexity of disease to combat cognitive decline in old age. Ann Neurol 2018;83:74–83

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
樊星完成签到,获得积分10
1秒前
1秒前
奋斗小蝴蝶完成签到,获得积分10
1秒前
1秒前
2秒前
陈哥发布了新的文献求助10
2秒前
面包小狗完成签到,获得积分10
2秒前
千秋叶发布了新的文献求助10
3秒前
MM发布了新的文献求助10
3秒前
香蕉觅云应助研友_VZGvVn采纳,获得10
5秒前
佩琪发布了新的文献求助10
6秒前
李哈哈发布了新的文献求助10
6秒前
所所应助科研通管家采纳,获得10
6秒前
充电宝应助yph采纳,获得10
6秒前
在水一方应助科研通管家采纳,获得10
6秒前
Copyright应助科研通管家采纳,获得10
6秒前
脑洞疼应助科研通管家采纳,获得10
6秒前
爆米花应助科研通管家采纳,获得10
7秒前
赘婿应助科研通管家采纳,获得10
7秒前
7秒前
伶俐妙海应助科研通管家采纳,获得10
7秒前
arniu2008应助科研通管家采纳,获得20
7秒前
研小白应助科研通管家采纳,获得10
7秒前
Akim应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
伶俐妙海应助科研通管家采纳,获得10
7秒前
英姑应助科研通管家采纳,获得10
7秒前
8秒前
9秒前
无尾熊发布了新的文献求助10
9秒前
9秒前
顽主发布了新的文献求助10
10秒前
NexusExplorer应助li采纳,获得10
11秒前
核桃应助keke采纳,获得30
11秒前
道明嗣完成签到,获得积分10
11秒前
科研通AI6.3应助苹果采纳,获得10
11秒前
Orange应助庸人自扰采纳,获得10
12秒前
12秒前
孙笑川258发布了新的文献求助10
13秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7243200
求助须知:如何正确求助?哪些是违规求助? 8867526
关于积分的说明 18705744
捐赠科研通 6917411
什么是DOI,文献DOI怎么找? 3196524
关于科研通互助平台的介绍 2370105
邀请新用户注册赠送积分活动 2171177