Relationship between serum uric acid levels and different types of atrial fibrillation: An updated meta-analysis

心房颤动 尿酸 内科学 医学 荟萃分析 心脏病学
作者
Xuehan Wang,Yinglong Hou,Ximin Wang,Zhan Li,Xiao Wang,Huilin Li,Luxiang Shang,Jie Zhou,Yong Zhang,Manyi Ren,Yujiao Zhang
出处
期刊:Nutrition Metabolism and Cardiovascular Diseases [Elsevier]
卷期号:31 (10): 2756-2765 被引量:26
标识
DOI:10.1016/j.numecd.2021.05.034
摘要

Aim Increasing evidence supports the hypothesis that high serum uric acid (SUA) levels are related to atrial fibrillation (AF). However, the incidence of AF in patients with hyperuricemia and SUA levels in different types of AF is not entirely clear. This meta-analysis was designed to evaluate the relationship between SUA and incidence of AF, and the variation in SUA levels in different types of AF. Data synthesis Relevant reports were searched for in Embase, PubMed and the Cochrane Library. A fixed-effects model combining relative risk (RR) and the corresponding 95% confidence interval (95% CI) was used to evaluate the correlation between SUA and AF. The standardized mean differences (SMDs) of SUA values were calculated using a random-effects model to evaluate the differences in SUA levels among different types of AF. A total of 31 studies with 504,958 participants were included in this research. The results from 8 cohort studies showed that high SUA levels significantly increased the incidence of AF [RR (95% CI): 1.92 (1.68–2.20); P < 0.01]. The results from 29 studies revealed that SUA levels elevated in patients with AF [SMD (95% CI): 0.55 (0.43–0.66); P < 0.001]. Meanwhile, SUA levels in new-onset AF [SMD (95%CI): 0.24 (0.10–0.38); P = 0.001], paroxysmal AF [SMD (95%CI): 0.52 (0.33–0.72); P < 0.001] and persistent AF [SMD (95%CI): 1.23 (0.98–1.48); P < 0.001] were significantly higher than that in patients without AF. Conclusions High SUA levels had an obvious correlation with the occurrence rate of AF. In addition, SUA levels were significantly different among patients with new-onset, paroxysmal and persistent AF.
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
zoe完成签到,获得积分10
刚刚
习习应助学术小白采纳,获得10
刚刚
1秒前
2秒前
tianny关注了科研通微信公众号
3秒前
3秒前
CO2发布了新的文献求助10
3秒前
桐桐应助zhangscience采纳,获得10
4秒前
求助发布了新的文献求助10
5秒前
buno应助zoe采纳,获得10
6秒前
junzilan发布了新的文献求助10
6秒前
6秒前
细品岁月完成签到 ,获得积分10
6秒前
细心书蕾完成签到 ,获得积分10
7秒前
无花果应助l11x29采纳,获得10
9秒前
9秒前
老詹头发布了新的文献求助10
9秒前
思源应助叫滚滚采纳,获得10
10秒前
11秒前
刘歌完成签到 ,获得积分10
11秒前
阿巡完成签到,获得积分10
11秒前
Chen完成签到,获得积分10
13秒前
LSH970829发布了新的文献求助10
13秒前
哈哈哈完成签到 ,获得积分10
14秒前
汤姆完成签到,获得积分10
14秒前
16秒前
16秒前
翠翠完成签到,获得积分10
17秒前
17秒前
LSH970829完成签到,获得积分10
18秒前
Lyg完成签到,获得积分20
19秒前
坚强的樱发布了新的文献求助10
19秒前
baodingning完成签到,获得积分10
20秒前
20秒前
公茂源发布了新的文献求助30
20秒前
热爱完成签到,获得积分10
21秒前
22秒前
叫滚滚发布了新的文献求助10
23秒前
星瑆心完成签到,获得积分10
23秒前
啦啦啦啦啦完成签到,获得积分10
24秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527961
求助须知:如何正确求助?哪些是违规求助? 3108159
关于积分的说明 9287825
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716926
科研通“疑难数据库(出版商)”最低求助积分说明 709808