Exploring the Associations Between Non-Traditional Lipid Parameters and Epicardial Adipose Tissue Volume

医学 血脂谱 脂肪组织 单变量分析 多元分析 接收机工作特性 内科学 心外膜脂肪组织 多元统计 胆固醇 脂质代谢 心外膜脂肪 内分泌学 心脏病学 胃肠病学 统计 数学
作者
Junli Ren,Guang Yao,Lichen Ren,Yiran Wang,Jianbo Gao,Yonggao Zhang
出处
期刊:Angiology [SAGE Publishing]
卷期号:76 (3): 239-248 被引量:3
标识
DOI:10.1177/00033197231207264
摘要

The aim of this retrospective study was to determine the relationship between non-traditional lipid parameters and epicardial adipose tissue (EAT). A total of 770 patients with coronary computed tomography angiography examinations were included. The non-traditional lipid parameters included the atherogenic index of plasma (AIP), the atherogenic coefficient (AC), monocyte to high-density lipoprotein cholesterol (HDL-C) ratio (MHR), and lipoprotein combined index (LCI). To investigate the association between non-conventional lipid markers and the EAT-volume (EAT-v), a univariate and multivariate analyses were conducted. The receiver operating characteristic (ROC) analysis was used to compare the predictive ability among the four non-traditional lipid parameters. In the univariate analysis, we identified factors that might have effects on EAT-v (all P <.05) and adjusted for these in the multivariate analysis. We found that except for MHR, other non-traditional lipid parameters were still associated with high EAT-v after adjustment (all P <.05). In the ROC analysis, the area under the curve (AUC) of AIP was greater than that of other non-traditional lipid parameters and lipid profiles. There was an association between both non-traditional lipid parameters and EAT-v. After adjustment, the AIP remained an independent predictor of EAT-v and it outperformed other non-traditional lipid parameters.
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
Lucas应助科研通管家采纳,获得10
刚刚
Ryan完成签到,获得积分10
刚刚
刚刚
情怀应助科研通管家采纳,获得10
刚刚
jiaojiaojiao发布了新的文献求助10
刚刚
aajhajkahna应助科研通管家采纳,获得10
刚刚
Owen应助zml采纳,获得10
刚刚
aajhajkahna应助科研通管家采纳,获得10
刚刚
1秒前
Terry发布了新的文献求助10
1秒前
2秒前
Charlie完成签到 ,获得积分10
2秒前
cpe完成签到 ,获得积分20
3秒前
5秒前
lye发布了新的文献求助10
6秒前
Hello应助Ws采纳,获得10
7秒前
张张发布了新的文献求助10
8秒前
一见非流完成签到,获得积分10
9秒前
大妙妙发布了新的文献求助10
9秒前
SciGPT应助joker采纳,获得10
10秒前
11秒前
11秒前
12秒前
tx66完成签到,获得积分10
14秒前
14秒前
大白兔完成签到 ,获得积分10
14秒前
明一完成签到,获得积分20
16秒前
zml完成签到,获得积分10
16秒前
和平小鸽发布了新的文献求助10
18秒前
18秒前
雷安完成签到,获得积分10
19秒前
CipherSage应助林承采纳,获得10
19秒前
zml发布了新的文献求助10
19秒前
鲁成危发布了新的文献求助20
19秒前
tu完成签到 ,获得积分10
21秒前
22秒前
cpe发布了新的文献求助10
23秒前
香蕉觅云应助骑士采纳,获得10
24秒前
罗莹完成签到 ,获得积分10
25秒前
zh_li完成签到,获得积分10
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
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Mammalian Synthetic Biology 500
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 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 7639181
求助须知:如何正确求助?哪些是违规求助? 9212258
关于积分的说明 19761736
捐赠科研通 7205849
什么是DOI,文献DOI怎么找? 3275976
关于科研通互助平台的介绍 2437529
邀请新用户注册赠送积分活动 2273227