Association of Non-Traditional Lipid Parameters with Hemorrhagic Transformation and Clinical Outcome After Thrombolysis in Ischemic Stroke Patients

医学 优势比 逻辑回归 置信区间 甘油三酯 胆固醇 接收机工作特性 内科学 溶栓 冲程(发动机) 高密度脂蛋白 胃肠病学 心脏病学 心肌梗塞 机械工程 工程类
作者
Yun Luo,Jie Chen,Xiuli Yan,Hang Jin,Xin Sun,Zhen‐Ni Guo,Yi Yang
出处
期刊:Current Neurovascular Research [Bentham Science Publishers]
卷期号:17 (5): 736-744 被引量:5
标识
DOI:10.2174/1567202617999210101223129
摘要

Objective:: Recently, a few studies have shown that non-traditional lipid parameters are associated with the hemorrhagic transformation (HT) and the clinical outcome of ischemic stroke. However, the role of non-traditional lipid parameters in ischemic stroke patients treated with intravenous thrombolysis remains unclear. Thus, we aimed to assess the associations of non-traditional lipid parameters with HT and clinical outcome after thrombolysis in ischemic stroke patients. Methods:: This study consecutively included 763 ischemic stroke patients treated with intravenous thrombolysis. Non-traditional lipid parameters included non-high-density lipoprotein cholesterol (non-HDL-C), total cholesterol to HDL-C ratio (TC/HDL-C), triglyceride to HDL-C ratio (TG/ HDL-C), and low-density lipoprotein cholesterol to HDL-C ratio (LDL-C/HDL-C). Receiver operating characteristic (ROC) curves and multivariate logistic regression analyses were used to investigate the associations between the four non-traditional lipid parameters and HT and poor outcome after thrombolysis. Results:: Of 763 patients, 78 (10.2%) had HT and 281 (36.8%) had poor outcome. The ROC curves showed that the optimum cut-off points of the non-HDL-C, TC/HDL-C, TG/HDL-C, and LDL/HDL-C for predicting HT and poor outcome were 2.99 and 2.01, 4.05 and 3.66, 0.82 and 1.02, as well as 2.67 and 2.71, respectively. Multivariate logistic regression analyses showed that the TC/HDL-C <4.05 (adjusted odds ratio [OR]=1.727, 95% confidence interval [CI]: 1.008–2.960), TG/HDL-C <0.82 (adjusted OR=2.064, 95% CI: 1.241–3.432), and LDL/HDL-C <2.67 (adjusted OR=1.935, 95% CI: 1.070–3.501) were positively associated with the risk of HT, while the non-HDL-C <2.99 (adjusted OR=0.990, 95% CI: 0.583–1.680) was not related to the risk of HT. In addition, the non-HDL-C <2.01, TC/HDL-C <3.66, TG/HDL-C <1.02, and LDL/HDL-C <2.71 were associated with an increased risk of poor outcome, with adjusted ORs of 2.340 (95% CI: 1.150–4.764), 1.423 (95% CI: 1.025–1.977), 1.539 (95% CI: 1.102–2.151), and 1.608 (95% CI: 1.133–2.283). Conclusion:: Low TC/HDL-C, TG/HDL-C, and LDL/HDL-C, but not non-HDL-C, were associated with an increased risk of HT after thrombolysis. In addition, low non-HDL-C, TC/HDL-C, TG/HDL-C, and LDL/HDL-C were associated with an increased risk of poor outcome in ischemic stroke patients with intravenous thrombolysis.
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
随机心电图应助chunjianghua采纳,获得10
刚刚
王哥完成签到,获得积分10
1秒前
1秒前
科研通AI5应助gao采纳,获得10
1秒前
qianyu完成签到,获得积分10
1秒前
香菜完成签到,获得积分10
2秒前
彭于晏应助111采纳,获得10
2秒前
二则完成签到 ,获得积分10
2秒前
科研通AI2S应助jm采纳,获得10
3秒前
ljz910005完成签到,获得积分10
3秒前
搜集达人应助默默的书蕾采纳,获得10
3秒前
大个应助xHBest采纳,获得10
3秒前
领导范儿应助noryan采纳,获得10
4秒前
宴之敖者完成签到,获得积分10
4秒前
海绵宝宝完成签到,获得积分10
5秒前
杨Yang发布了新的文献求助10
5秒前
6秒前
善学以致用应助bluueboom采纳,获得10
7秒前
梁蓉发布了新的文献求助10
7秒前
正能量的可可可完成签到,获得积分10
7秒前
贪玩的晓筠完成签到,获得积分10
7秒前
小鱼完成签到,获得积分10
7秒前
FashionBoy应助吃大肉采纳,获得10
8秒前
yuzi完成签到,获得积分10
8秒前
Trista完成签到,获得积分10
8秒前
8秒前
sube完成签到,获得积分10
9秒前
10秒前
雪宝宝完成签到,获得积分20
10秒前
曲悦完成签到,获得积分10
10秒前
zHan完成签到,获得积分10
11秒前
李爱国应助cccccy采纳,获得10
11秒前
11秒前
玄之又玄发布了新的文献求助10
12秒前
lemongulf完成签到 ,获得积分10
12秒前
12秒前
13秒前
ee发布了新的文献求助10
14秒前
14秒前
石榴汁的书完成签到,获得积分10
14秒前
高分求助中
Chinesen in Europa – Europäer in China: Journalisten, Spione, Studenten 500
Arthur Ewert: A Life for the Comintern 500
China's Relations With Japan 1945-83: The Role of Liao Chengzhi // Kurt Werner Radtke 500
Two Years in Peking 1965-1966: Book 1: Living and Teaching in Mao's China // Reginald Hunt 500
Epigenetic Drug Discovery 500
Pathology of Laboratory Rodents and Rabbits (5th Edition) 400
Knowledge management in the fashion industry 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3816440
求助须知:如何正确求助?哪些是违规求助? 3359935
关于积分的说明 10405824
捐赠科研通 3077960
什么是DOI,文献DOI怎么找? 1690410
邀请新用户注册赠送积分活动 813778
科研通“疑难数据库(出版商)”最低求助积分说明 767845