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
刚刚
1秒前
陈龙发布了新的文献求助10
1秒前
小蘑菇应助BREEZE采纳,获得10
2秒前
shuo完成签到,获得积分10
2秒前
铁锤牛马版应助Caroline采纳,获得10
3秒前
4秒前
mxl发布了新的文献求助10
5秒前
LuoYR@SZU发布了新的文献求助10
6秒前
orixero应助赵睿智采纳,获得10
6秒前
深情安青应助默默的友绿采纳,获得10
6秒前
9秒前
刘启娅完成签到,获得积分10
10秒前
wakhlm发布了新的文献求助10
11秒前
洛洛发布了新的文献求助10
11秒前
12秒前
Chow完成签到,获得积分10
12秒前
烟花应助mxl采纳,获得10
13秒前
李健的小迷弟应助wangdanli采纳,获得10
14秒前
zxy发布了新的文献求助10
15秒前
16秒前
16秒前
CY完成签到,获得积分10
17秒前
Livtales完成签到 ,获得积分10
17秒前
充电宝应助海苔噗噗采纳,获得10
18秒前
18秒前
可爱的函函应助pp采纳,获得10
18秒前
Lucas应助没有你不行采纳,获得10
18秒前
19秒前
不语完成签到,获得积分10
19秒前
默默的友绿完成签到,获得积分10
19秒前
pluto应助会飞的拿铁采纳,获得70
19秒前
19秒前
CY发布了新的文献求助10
20秒前
woshi123应助科研通管家采纳,获得10
20秒前
20秒前
bkagyin应助科研通管家采纳,获得10
20秒前
赵睿智发布了新的文献求助10
20秒前
Orange应助科研通管家采纳,获得10
20秒前
20秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Blackwell's five-minute veterinary consult clinical companion: small animal gastrointestinal diseases 500
Data book on fatigue strength of metallic materials 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7563751
求助须知:如何正确求助?哪些是违规求助? 9144268
关于积分的说明 19552237
捐赠科研通 7151262
什么是DOI,文献DOI怎么找? 3262390
关于科研通互助平台的介绍 2428640
邀请新用户注册赠送积分活动 2252109