Causal Relationship between Angina and Hepatic Failure as Revealed by Mendelian Randomization

医学 孟德尔随机化 内科学 优势比 心绞痛 置信区间 入射(几何) 心脏病学 心肌梗塞 遗传变异 基因型 遗传学 生物 基因 光学 物理
作者
Fengming Xu,Olaf Dirsch,Uta Dahmen
出处
期刊:Journal of Clinical Medicine [Multidisciplinary Digital Publishing Institute]
卷期号:13 (2): 449-449
标识
DOI:10.3390/jcm13020449
摘要

Background: Patients with angina are often suffering from comorbidities such as varying degrees of hepatic dysfunction. However, the impact of angina on the incidence of hepatic failure (HF) remains unclear. Methods: The genetic data were retrieved from genome-wide association studies. Five Mendelian randomization methods were used to investigate the causal relationship between unstable angina (UA), stable angina (SA), and HF. The result of the Inverse variance weighted (IVW) method was deemed the principal result. In addition, we performed a comprehensive sensitivity analysis to verify the robustness of the results. Results: The IVW results showed that UA (Odds ratio (OR): 2.055, 95% confidence interval (CI): 1.171–3.606, p = 0.012) was causally associated with the incidence of HF. SA (OR: 1.122, 95% CI: 0.738–1.706, p = 0.591) was not causally associated with the incidence of HF. Sensitivity analysis did not identify any bias in the results. Conclusions: UA turned out to be a risk factor for HF. SA does not have a significant causal effect on HF. Therefore, it is highly recommended that patients with chronic liver disease seek prompt medical attention and undergo regular monitoring of liver function when experiencing UA. This may help them to reduce the risk of HF.

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
刚刚
刚刚
orixero应助溜溜采纳,获得10
1秒前
开鑫发布了新的文献求助10
1秒前
开朗满天完成签到 ,获得积分10
2秒前
xW12123发布了新的文献求助10
2秒前
王娟发布了新的文献求助10
2秒前
3秒前
4秒前
4秒前
欣慰元蝶发布了新的文献求助10
4秒前
5秒前
ohno耶耶耶完成签到,获得积分10
5秒前
5秒前
成就楷瑞关注了科研通微信公众号
5秒前
zhanghhsnow发布了新的文献求助20
5秒前
成就楷瑞关注了科研通微信公众号
6秒前
6秒前
7秒前
zzj发布了新的文献求助10
7秒前
7秒前
甜青提完成签到,获得积分10
8秒前
1点点发布了新的文献求助10
9秒前
10秒前
西瓜皮发布了新的文献求助10
10秒前
xubin关注了科研通微信公众号
11秒前
huangshizhi完成签到,获得积分10
11秒前
molihuakai应助Godzilla采纳,获得200
11秒前
12秒前
12秒前
Wenky发布了新的文献求助10
12秒前
Lig发布了新的文献求助10
13秒前
合适谷蕊发布了新的文献求助10
13秒前
bkagyin应助widesky777采纳,获得10
14秒前
molihuakai应助wyjcnu采纳,获得10
14秒前
14秒前
AA完成签到 ,获得积分10
14秒前
joy完成签到,获得积分10
15秒前
赘婿应助苹果板凳采纳,获得10
15秒前
oycy完成签到,获得积分10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6443253
求助须知:如何正确求助?哪些是违规求助? 8257187
关于积分的说明 17585389
捐赠科研通 5501764
什么是DOI,文献DOI怎么找? 2900832
邀请新用户注册赠送积分活动 1877821
关于科研通互助平台的介绍 1717498