Sleep disturbances and heart failure: observational study and Mendelian randomization study.

IF 3.3 4区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Archives of Medical Science Pub Date : 2024-10-26 eCollection Date: 2025-01-01 DOI:10.5114/aoms/194883
Junwen Wang, Ziyi Sun, Yi Zhong, Yuyang Ye, Xuefeng Chen, Xinru Hu, Yong Peng
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引用次数: 0

Abstract

Introduction: Sleep disturbances are prevalent among patients with heart failure (HF) and may trigger acute exacerbations of the condition. However, the causal relationship between sleep disturbances and HF remains uncertain. This study aimed to explore the association and potential causal relationship between sleep disturbances and HF.

Material and methods: Observational study: NHANES data (2005-2008) involving 10,432 participants. Sleep disturbances defined as insomnia, sleep disorders, difficulty falling asleep, trouble sleeping, and nocturnal awakening. Mendelian randomization (MR) study: Genetic variants linked to sleeplessness were obtained from GWAS datasets. MR two-sample analysis was conducted using summary statistics from sleeplessness and HF GWASs.

Results: After full adjustment, the association between insomnia and HF remained significant, with an OR of 5.10 (1.81-14.33, p = 0.003). After full adjustment, the association between sleep disorder and HF remained significant, with an OR of 3.51 (1.67-7.39; p = 0.002). The IVW method provided evidence supporting a causal association between sleeplessness and HF (OR = 1.535, SE = 0.177, p = 0.016). MR-Egger analysis demonstrated a causal association between sleeplessness and HF (OR = 3.333, SE = 0.493, p = 0.023). Our observational study may be influenced by unaddressed confounding factors; however, Mendelian randomization helps mitigate the bias and confounding commonly found in non-genetic observational research.

Conclusions: Our study identified a correlation between sleep disturbances and HF, potentially suggesting a causal relationship. Addressing sleep disturbances may be a key strategy in reducing the risk of HF.

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睡眠障碍和心力衰竭:观察性研究和孟德尔随机化研究。
导读:睡眠障碍在心力衰竭(HF)患者中很普遍,并可能引发病情的急性恶化。然而,睡眠障碍与心衰之间的因果关系仍不确定。本研究旨在探讨睡眠障碍与心衰之间的关联及潜在的因果关系。材料和方法:观察性研究:NHANES数据(2005-2008),涉及10,432名参与者。睡眠障碍被定义为失眠、睡眠障碍、入睡困难、睡眠困难和夜间觉醒。孟德尔随机化(MR)研究:从GWAS数据集中获得与失眠相关的遗传变异。采用总结统计失眠和高频GWASs进行MR双样本分析。结果:充分调整后,失眠症与HF的相关性仍然显著,OR为5.10 (1.81 ~ 14.33,p = 0.003)。完全调整后,睡眠障碍与HF之间的相关性仍然显著,OR为3.51 (1.67-7.39;p = 0.002)。IVW方法提供了支持失眠与HF之间因果关系的证据(OR = 1.535, SE = 0.177, p = 0.016)。MR-Egger分析显示失眠与HF之间存在因果关系(OR = 3.333, SE = 0.493, p = 0.023)。我们的观察性研究可能受到未解决的混杂因素的影响;然而,孟德尔随机化有助于减轻非遗传观察研究中常见的偏见和混淆。结论:我们的研究确定了睡眠障碍和心衰之间的相关性,这可能表明两者之间存在因果关系。解决睡眠障碍可能是降低心衰风险的关键策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Archives of Medical Science
Archives of Medical Science 医学-医学:内科
CiteScore
4.90
自引率
7.90%
发文量
139
审稿时长
1.7 months
期刊介绍: Archives of Medical Science (AMS) publishes high quality original articles and reviews of recognized scientists that deal with all scientific medicine. AMS opens the possibilities for young, capable scientists. The journal would like to give them a chance to have a publication following matter-of-fact, professional review by outstanding, famous medical scientists. Thanks to that they will have an opportunity to present their study results and/or receive useful advice about the mistakes they have made so far. The second equally important aim is a presentation of review manuscripts of recognized scientists about the educational capacity, in order that young scientists, often at the beginning of their scientific carrier, could constantly deepen their medical knowledge and be up-to-date with current guidelines and trends in world-wide medicine. The fact that our educational articles are written by world-famous scientists determines their innovation and the highest quality.
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