中国卒中杂志 ›› 2019, Vol. 14 ›› Issue (05): 444-449.DOI: 10.3969/j.issn.1673-5765.2019.05.008

• 论著 • 上一篇    下一篇

打鼾与卒中相关性Meta分析

刘师垚,周洲洋,吉诗雨,石冰   

  1. 1610041 成都口腔疾病研究国家重点实验室;国家口腔疾病临床医学研究中心;四川大学华西口腔医院唇腭裂外科
    2四川大学生命科学学院
    3四川大学公共卫生学院
  • 收稿日期:2019-01-25 出版日期:2019-05-20 发布日期:2019-05-20
  • 通讯作者: 石冰 shibingcn@vip.sina.com

A Meta-analysis on the Correlation between Snoring and Stroke

  • Received:2019-01-25 Online:2019-05-20 Published:2019-05-20

摘要:

目的 系统评价打鼾合并卒中的风险。 方法 计算机检索PubMed、Web of Science、中国知网、万方等数据库,手工检索打鼾与卒中的病例- 对照研究、队列研究及横断面研究的原始研究文献,检索时限为建库至2018年10月1日。采用Stata 15.0软件进行Meta分析、亚组分析及敏感性分析和发表偏倚分析。 结果 共纳入文献11篇,包括研究对象235 920例,卒中患者2681例。无明显发表偏倚。研究整体 间无明显异质性,采用固定效应模型进行合并,结果显示,打鼾人群发生卒中的风险更高(OR 1.20, 95%CI 1.09~1.31)。分层分析表明,不同性别存在统计学差异,女性人群中打鼾是发生卒中的独立 危险因素(OR 1.22, 95%CI 1.09~1.34)。 结论 打鼾是卒中的风险因素,尤其是在女性人群中。

文章导读: 本研究通过对包括235 920例人群的11项研究进行了Meta分析,结果显示打鼾是卒中的风险因素,打鼾对女性的卒中风险影响更明显。

关键词: 打鼾; 卒中; Meta分析

Abstract:

Objective To systematically review the association between snoring and stroke. Methods Electronic databases were searched including PubMed, web of Science, CNKI, Wanfang data, manually searched for original research literature on case-control studies, cohort studies, and cross-sectional studies published from inception to March 1st, 2019. Meta-analysis, subgroup analysis, sensitivity analysis, and publication bias analysis were performed using Stata 15.0 software. Results A total of 10 studies were included, including 235 920 subjects and 2681 stroke patients. No obvious publication bias was founded. Using a fixed-effect model to combine data, the results revealed that the risk of stroke in the snoring population was higher (OR 1.20, 95%CI 1.09-1.31). Hierarchical analysis showed that there was statistical difference between different genders, and there was a higher correlation between snoring and stroke in female population (OR 1.22, 95%CI 1.09-1.34). Conclusions The present evidence suggests that snoring is risk factor of stroke, especially in woman population.

Key words: Snoring; Stroke; Meta-analysis