Junwen Wang, Ziyi Sun, Yi Zhong, Yuyang Ye, Xuefeng Chen, Xinru Hu, Yong Peng
{"title":"Sleep disturbances and heart failure: observational study and Mendelian randomization study.","authors":"Junwen Wang, Ziyi Sun, Yi Zhong, Yuyang Ye, Xuefeng Chen, Xinru Hu, Yong Peng","doi":"10.5114/aoms/194883","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Material and methods: </strong>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.</p><p><strong>Results: </strong>After full adjustment, the association between insomnia and HF remained significant, with an OR of 5.10 (1.81-14.33, <i>p</i> = 0.003). After full adjustment, the association between sleep disorder and HF remained significant, with an OR of 3.51 (1.67-7.39; <i>p</i> = 0.002). The IVW method provided evidence supporting a causal association between sleeplessness and HF (OR = 1.535, SE = 0.177, <i>p</i> = 0.016). MR-Egger analysis demonstrated a causal association between sleeplessness and HF (OR = 3.333, SE = 0.493, <i>p</i> = 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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":8278,"journal":{"name":"Archives of Medical Science","volume":"21 4","pages":"1222-1232"},"PeriodicalIF":3.3000,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12509875/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Medical Science","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5114/aoms/194883","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
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.
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.