Associations between cardiovascular disease, cancer, and very low high-density lipoprotein cholesterol in the REasons for Geographical and Racial Differences in Stroke (REGARDS) study

医学 危险系数 内科学 置信区间 比例危险模型 冲程(发动机) 疾病 癌症 人口学 心脏病学 机械工程 工程类 社会学
作者
Peter E. Penson,D. Leann Long,George Howard,Virginia J. Howard,Steven R. Jones,Seth S. Martin,Dimitri P. Mikhailidis,Paul Muntner,Manfredi Rizzo,Daniel J. Rader,Monika M. Safford,Amirhossein Sahebkar,Peter P. Tóth,Maciej Banach
出处
期刊:Cardiovascular Research [Oxford University Press]
卷期号:115 (1): 204-212 被引量:52
标识
DOI:10.1093/cvr/cvy198
摘要

Abstract Aims Relatively little is known about the health outcomes associated with very low plasma concentrations of high-density lipoprotein cholesterol (HDL-C) mainly because of the small numbers of individuals with such extreme values included in clinical trials. We, therefore, investigated the association between low and very low HDL-C concentration at baseline and incident all-cause-mortality, death from malignant disease (i.e. cancer), and with fatal or non-fatal incident coronary heart disease (CHD) in individuals from the Reasons for Geographical And Racial Differences in Stroke (REGARDS) study. Methods and results Analysis was based on 21 751 participants from the REGARDS study who were free of CHD, other cardiovascular disease, and cancer at baseline and were categorized by baseline HDL-C into <30 mg/dL (very low), 30–<40 mg/dL (low), and ≥40 mg/dL (reference). A series of incremental Cox proportional hazards models were employed to assess the association between the HDL-C categories and outcomes. Statistical analysis was performed using both complete case methods and multiple imputations with chained equations. After adjustment for age, race, and sex, the hazard ratios (HRs) comparing the lowest and highest HDL-C categories were 1.48 [95% confidence interval (CI) 1.28–1.73] for all-cause mortality, 1.35 (95% CI 1.03–1.77) for cancer-specific mortality and 1.39 (95% CI 0.99–1.96) for incident CHD. These associations became non-significant in models adjusting for demographics, cardiovascular risk factors, and treatment for dyslipidaemia. We found evidence for an HDL paradox, whereby low HDL (30–<40 mg/dL) was associated with reduced risk of incident CHD in black participants in a fully adjusted complete case model (HR 0.63; 95% CI 0.46–0.88) and after multiple imputation analyses (HR 0.76; 95% CI 0.58–0.98). HDL-C (<30 mg/dL) was significantly associated with poorer outcomes in women for all outcomes, especially with respect to cancer mortality (HR 2.31; 95% CI 1.28–4.16) in a fully adjusted complete case model, replicated using multiple imputation (HR 1.81; 95% CI 1.03–3.20). Conclusion Low HDL-C was associated with reduced risk of incident CHD in black participants suggesting a potential HDL paradox for incident CHD. Very low HDL-C in women was significantly associated with cancer mortality in a fully adjusted complete case model.

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AI6.1应助小白菜采纳,获得10
刚刚
1秒前
四叶草完成签到,获得积分10
3秒前
1111发布了新的文献求助10
3秒前
科研通AI6.1应助百夜妖采纳,获得10
3秒前
可以发布了新的文献求助10
4秒前
4秒前
6秒前
rj007发布了新的文献求助30
7秒前
8秒前
纸轮发布了新的文献求助10
10秒前
量子星尘发布了新的文献求助10
10秒前
Nov_VIIIP完成签到,获得积分10
11秒前
汉堡包应助杨同学采纳,获得10
12秒前
13秒前
脑洞疼应助菜菜采纳,获得10
13秒前
NN发布了新的文献求助50
14秒前
科研通AI2S应助sss采纳,获得10
14秒前
16秒前
桐桐应助阳光彩虹小牛马采纳,获得10
16秒前
18秒前
18秒前
刘荣圣发布了新的文献求助10
19秒前
kailan完成签到,获得积分20
19秒前
20秒前
21秒前
22秒前
mogumogu完成签到,获得积分10
22秒前
大模型应助布噜噜噜噜采纳,获得30
23秒前
英俊的铭应助看看采纳,获得10
23秒前
24秒前
JamesPei应助草莓猫猫虫采纳,获得10
24秒前
刘荣圣完成签到,获得积分10
25秒前
hdy331完成签到,获得积分0
25秒前
25秒前
拉哈80应助小小橙采纳,获得10
25秒前
拉哈80应助小小橙采纳,获得10
26秒前
杨同学发布了新的文献求助10
28秒前
lqiqivv发布了新的文献求助10
28秒前
栀子一朵发布了新的文献求助10
28秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 40000
(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 strong mixing conditions volume 1-3 5000
Ägyptische Geschichte der 21.–30. Dynastie 2500
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
„Semitische Wissenschaften“? 1510
从k到英国情人 1500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5743923
求助须知:如何正确求助?哪些是违规求助? 5416646
关于积分的说明 15348652
捐赠科研通 4884391
什么是DOI,文献DOI怎么找? 2625824
邀请新用户注册赠送积分活动 1574648
关于科研通互助平台的介绍 1531532