Association of Blood Urea Nitrogen with Cardiovascular Diseases and All-Cause Mortality in USA Adults: Results from NHANES 1999–2006

全国健康与营养检查调查 医学 血尿素氮 人口 内科学 联想(心理学) 人口学 老年学 生理学 环境卫生 肌酐 心理学 社会学 心理治疗师
作者
Canlin Hong,Huiping Zhu,Xiaoding Zhou,Xiaobing Zhai,Shiyang Li,Wenzhi Ma,Keyang Liu,Kokoro Shirai,Haytham A. Sheerah,Jinhong Cao
出处
期刊:Nutrients [Multidisciplinary Digital Publishing Institute]
卷期号:15 (2): 461-461 被引量:48
标识
DOI:10.3390/nu15020461
摘要

In the general population, there is little evidence of a link between blood urea nitrogen (BUN) and long-term mortality. The goal of this study was to explore whether higher BUN concentration is a predictor of cardiovascular disease (CVD) and all-cause mortality. From 1999 to 2006, the National Health and Nutrition Examination Survey (NHANES) included 17,719 adult individuals. Death outcomes were ascertained by linkage to the database records through 31 December 2015. The Cox proportional hazard regression model was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for CVD and all-cause mortality in individuals. We also performed stratified analyses based on age, gender, drinking, smoking, history of hypertension and diabetes. During a mean follow-up 11.65 years, a total of 3628 deaths were documented, of which 859 were due to CVD. Participants with higher BUN had a higher risk of CVD and all-cause death compared to those with lower BUN. After multifactor adjustment for demographics, major lifestyle factors, and hypertension and diabetes history, higher BUN levels compared with lower levels were significantly associated with higher risk of CVD (HR: 1.48 [1.08, 2.02], P-trend < 0.001) and all-cause mortality (HR: 1.48 [1.28, 1.72], P-trend < 0.001). In subgroup analyses, we found that the trend in the association of BUN with the risk of death remained strong in female subjects. Greater BUN levels were linked to higher CVD and all-cause mortality in the NHANES of American adults. The importance of BUN in predicting death is supported by our research.
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
乐乐应助Marvin采纳,获得10
刚刚
2秒前
2秒前
wangpeiyao完成签到 ,获得积分10
3秒前
情怀应助雪碧要加冰采纳,获得10
3秒前
3秒前
Lee.K.Y完成签到,获得积分10
7秒前
霁雨花君发布了新的文献求助10
7秒前
VC发布了新的文献求助10
7秒前
俊俊完成签到,获得积分10
9秒前
云朝完成签到,获得积分10
11秒前
11秒前
自信的昊焱完成签到,获得积分10
12秒前
12秒前
学术羊发布了新的文献求助10
12秒前
阿喵完成签到 ,获得积分10
13秒前
小番茄完成签到 ,获得积分10
15秒前
Sand完成签到,获得积分10
15秒前
科研通AI6.2应助zky采纳,获得10
16秒前
绿泡泡住海边完成签到,获得积分10
16秒前
lym97完成签到 ,获得积分10
16秒前
孤独星月完成签到,获得积分20
18秒前
俭朴依白发布了新的文献求助10
18秒前
18秒前
19秒前
sharkmelon应助ccm采纳,获得10
20秒前
20秒前
20秒前
21秒前
21秒前
乐观小之发布了新的文献求助50
21秒前
22秒前
完美的翼应助重要问丝采纳,获得10
23秒前
AllRightReserved应助重要问丝采纳,获得10
23秒前
chy完成签到,获得积分10
23秒前
Nature发布了新的文献求助10
23秒前
高锰酸钾发布了新的文献求助10
24秒前
24秒前
25秒前
25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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 500
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 6501015
求助须知:如何正确求助?哪些是违规求助? 8296023
关于积分的说明 17705255
捐赠科研通 5597992
什么是DOI,文献DOI怎么找? 2918508
邀请新用户注册赠送积分活动 1895724
关于科研通互助平台的介绍 1756655