Causal relationship between dementia and delirium: Insights from a bidirectional two-sample Mendelian randomization analysis

痴呆 谵妄 孟德尔随机化 路易氏体型失智症 人口 医学 内科学 心理学 精神科 疾病 遗传学 生物 环境卫生 基因 基因型 遗传变异
作者
Yongsong Cai,Jiachen Wang,Xinyi Wang,Qiling Yuan,Yan Xu,Peng Xu
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:349: 69-76 被引量:9
标识
DOI:10.1016/j.jad.2024.01.064
摘要

Our previous study found dementia as a significant risk factor for delirium development in elderly patients with hip fracture. However, the causal relationship between dementia and delirium remains unclear. To assess the causal relationship between delirium and dementia, we conducted a bidirectional Mendelian randomization (MR) analysis. Inversevariance weighted (IVW), weighted median, MR Egger, weighted mode, and simple mode were employed to conduct the MR analysis. Heterogeneity was assessed using the Cochran Q statistic in MR-Egger and IVW methods. Horizontal pleiotropy was examined via the MR pleiotropy residual sum and outliers (MR-PRESSO) and MR-Egger intercept tests. The forward MR analysis revealed a significant association between unclassified dementia (1.604 (1.326–1.941), p = 1.12 × 10−6), Alzheimer's disease (1.259 (1.128–1.405), p = 4.10 × 10−5), and dementia with Lewy bodies (1.121 (1.026–1.225), p = 0.011) with an increased risk of delirium. In the reverse MR analysis, delirium was also suggested to increase the risk of unclassified dementia (1.133 (1.066–1.204), p = 6.31 × 10−5) and vascular dementia (1.246 (1.075–1.444), p = 0.003). These significant results were further validated in the multivariable MR analysis. No evidence of heterogeneity or horizontal pleiotropy was observed (p > 0.05). (1) Limited to European populations. (2) Sample population overlap between delirium and dementia. (3) Not all dementia subtypes were causally associated with delirium. This study provides genetic evidence supporting a causal relationship between dementia and delirium, indicating that dementia may influence the risk of delirium while delirium may also increase the risk of dementia.
最长约 10秒,即可获得该文献文件

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
滴迪氐媂完成签到 ,获得积分10
1秒前
赵一晨完成签到,获得积分10
2秒前
泥巴发布了新的文献求助10
2秒前
粥粥完成签到,获得积分10
2秒前
漉熊完成签到 ,获得积分10
3秒前
andre20完成签到 ,获得积分10
3秒前
昏睡的觅松应助我不是BOB采纳,获得10
4秒前
XXRR发布了新的文献求助10
5秒前
焜少完成签到,获得积分10
6秒前
舒心的斩完成签到,获得积分10
7秒前
科研史迪发布了新的文献求助10
7秒前
Lucas应助科研通管家采纳,获得10
11秒前
脑洞疼应助科研通管家采纳,获得10
11秒前
赘婿应助科研通管家采纳,获得10
11秒前
搜集达人应助科研通管家采纳,获得10
11秒前
Lucas应助科研通管家采纳,获得10
11秒前
11秒前
11秒前
我是老大应助科研通管家采纳,获得10
11秒前
Orange应助科研通管家采纳,获得80
11秒前
11秒前
无极微光应助科研通管家采纳,获得20
11秒前
11秒前
昏睡的觅松应助我不是BOB采纳,获得30
12秒前
lennon完成签到,获得积分10
13秒前
sagitar应助廿十三采纳,获得20
13秒前
13秒前
舒适的石头完成签到,获得积分10
14秒前
14秒前
时尚蜻蜓完成签到,获得积分10
17秒前
小L发布了新的文献求助10
17秒前
天天快乐应助狂野西牛采纳,获得10
17秒前
17秒前
19秒前
20秒前
77发布了新的文献求助10
21秒前
21秒前
one完成签到 ,获得积分10
22秒前
ybbb完成签到 ,获得积分10
22秒前
22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 7237061
求助须知:如何正确求助?哪些是违规求助? 8862706
关于积分的说明 18694493
捐赠科研通 6906673
什么是DOI,文献DOI怎么找? 3193817
关于科研通互助平台的介绍 2365525
邀请新用户注册赠送积分活动 2168363