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探讨睡眠特征与急性心肌梗死风险之间的因果关系:一项孟德尔随机化研究。

Investigating the causal interplay between sleep traits and risk of acute myocardial infarction: a Mendelian randomization study.

机构信息

K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

出版信息

BMC Med. 2023 Oct 5;21(1):385. doi: 10.1186/s12916-023-03078-0.

Abstract

BACKGROUND

Few studies have investigated the joint effects of sleep traits on the risk of acute myocardial infarction (AMI). No previous study has used factorial Mendelian randomization (MR) which may reduce confounding, reverse causation, and measurement error. Thus, it is prudent to study joint effects using robust methods to propose sleep-targeted interventions which lower the risk of AMI.

METHODS

The causal interplay between combinations of two sleep traits (including insomnia symptoms, sleep duration, or chronotype) on the risk of AMI was investigated using factorial MR. Genetic risk scores for each sleep trait were dichotomized at their median in UK Biobank (UKBB) and the second survey of the Trøndelag Health Study (HUNT2). A combination of two sleep traits constituting 4 groups were analyzed to estimate the risk of AMI in each group using a 2×2 factorial MR design.

RESULTS

In UKBB, participants with high genetic risk for both insomnia symptoms and short sleep had the highest risk of AMI (hazard ratio (HR) 1.10; 95% confidence interval (CI) 1.03, 1.18), although there was no evidence of interaction (relative excess risk due to interaction (RERI) 0.03; 95% CI -0.07, 0.12). These estimates were less precise in HUNT2 (HR 1.02; 95% CI 0.93, 1.13), possibly due to weak instruments and/or small sample size. Participants with high genetic risk for both a morning chronotype and insomnia symptoms (HR 1.09; 95% CI 1.03, 1.17) and a morning chronotype and short sleep (HR 1.11; 95% CI 1.04, 1.19) had the highest risk of AMI in UKBB, although there was no evidence of interaction (RERI 0.03; 95% CI -0.06, 0.12; and RERI 0.05; 95% CI -0.05, 0.14, respectively). Chronotype was not available in HUNT2.

CONCLUSIONS

This study reveals no interaction effects between sleep traits on the risk of AMI, but all combinations of sleep traits increased the risk of AMI except those with long sleep. This indicates that the main effects of sleep traits on AMI are likely to be independent of each other.

摘要

背景

很少有研究调查睡眠特征对急性心肌梗死 (AMI) 风险的联合影响。以前的研究没有使用因子 Mendelian 随机化 (MR),这可能会减少混杂、反向因果关系和测量误差。因此,使用稳健的方法研究联合效应以提出针对睡眠的干预措施来降低 AMI 风险是谨慎的。

方法

使用因子 MR 研究两种睡眠特征(包括失眠症状、睡眠持续时间或昼夜节律)组合对 AMI 风险的因果相互作用。英国生物库 (UKBB) 和特隆德拉格健康研究 (HUNT2) 的第二次调查中,将每个睡眠特征的遗传风险评分在中位数处二分。使用 2×2 因子 MR 设计分析构成 4 组的两种睡眠特征的组合,以估计每组 AMI 的风险。

结果

在 UKBB 中,同时具有较高的失眠症状和较短的睡眠遗传风险的参与者患 AMI 的风险最高(风险比 (HR) 1.10;95%置信区间 (CI) 1.03, 1.18),尽管没有证据表明存在交互作用(交互作用的相对超额风险 (RERI) 0.03;95%CI -0.07, 0.12)。这些估计在 HUNT2 中不太准确(HR 1.02;95%CI 0.93, 1.13),可能是由于弱工具和/或样本量小。在 UKBB 中,同时具有较高的早晨型和失眠症状遗传风险(HR 1.09;95%CI 1.03, 1.17)和早晨型和较短睡眠遗传风险(HR 1.11;95%CI 1.04, 1.19)的参与者患 AMI 的风险最高,但没有证据表明存在交互作用(RERI 0.03;95%CI -0.06, 0.12;和 RERI 0.05;95%CI -0.05, 0.14)。HUNT2 中没有昼夜节律。

结论

本研究未发现睡眠特征对 AMI 风险的相互作用,但除了睡眠时间较长的组合外,所有睡眠特征的组合都增加了 AMI 的风险。这表明睡眠特征对 AMI 的主要影响可能彼此独立。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0db/10557341/f402878b3b53/12916_2023_3078_Fig1_HTML.jpg

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