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
科研通AI6.4应助yadikar采纳,获得10
1秒前
1秒前
c9393053发布了新的文献求助10
1秒前
ding应助冷水鱼采纳,获得10
1秒前
不菠萝心完成签到,获得积分10
1秒前
1秒前
锦鲤附体发布了新的文献求助10
1秒前
2秒前
机灵的谷秋完成签到,获得积分10
2秒前
2秒前
2秒前
3秒前
无望幽月完成签到,获得积分10
3秒前
佳佳发布了新的文献求助20
3秒前
科研通AI6.4应助xingsi采纳,获得10
3秒前
4秒前
4秒前
nature完成签到,获得积分10
4秒前
wang发布了新的文献求助10
4秒前
4秒前
4秒前
从容紫寒完成签到,获得积分10
5秒前
5秒前
5秒前
妮妮发布了新的文献求助10
5秒前
HUA完成签到,获得积分10
5秒前
6秒前
三七四十三完成签到,获得积分10
6秒前
6秒前
豆豆发布了新的文献求助10
6秒前
6秒前
6秒前
Owen应助atmdfa采纳,获得10
7秒前
7秒前
开心绿蝶完成签到,获得积分20
7秒前
7秒前
风趣的雪柳完成签到,获得积分10
8秒前
lyyyy发布了新的文献求助10
8秒前
李孟林应助楼下太吵了采纳,获得10
8秒前
8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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 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 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 7622608
求助须知:如何正确求助?哪些是违规求助? 9197925
关于积分的说明 19716684
捐赠科研通 7194042
什么是DOI,文献DOI怎么找? 3272994
关于科研通互助平台的介绍 2435430
邀请新用户注册赠送积分活动 2268413