Markers of endothelial damage in organ dysfunction and sepsis

医学 败血症 器官功能障碍 内皮功能障碍 多器官功能障碍综合征 重症监护医学 心脏病学 内科学
作者
Konrad Reinhart,O Bayer,Frank M. Brunkhorst,Michael Meisner
出处
期刊:Critical Care Medicine [Lippincott Williams & Wilkins]
卷期号:30 (Supplement): S302-S312 被引量:317
标识
DOI:10.1097/00003246-200205001-00021
摘要

OBJECTIVES: To review the literature on direct and indirect markers of endothelial activation and damage in patients with sepsis and systemic inflammation and to assess their clinical usefulness for diagnosis and outcome. Various markers derived from or activated by endothelial cells are described, such as adhesion molecules, thrombomodulin, von Willebrand factor, parameters of the coagulation system, and interleukin-6. Furthermore, the association of these markers with the severity of sepsis, systemic inflammation, and outcome is evaluated. DATA EXTRACTION AND SYNTHESIS: Published research and review articles related to these parameters, with special emphasis on clinical studies. CONCLUSIONS: Endothelial activation and damage occur early during sepsis and play a major role in the pathophysiology of systemic inflammation. Various markers of endothelial activation are increased during sepsis and systemic inflammation, and in most studies, the level of markers such as soluble intercellular adhesion molecule, vascular cell adhesion molecule, and E selectin correlate well with the severity of inflammation and the course of the disease. However, to date, it remains unclear whether adhesion molecules and coagulation parameters are superior in this respect to interleukin-6 and procalcitonin, as direct comparisons are lacking. In addition, it is evident that markers of endothelial activation and coagulation parameters lack specificity for infection-induced endothelial damage and organ dysfunction.
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dog发布了新的文献求助10
刚刚
Nite关注了科研通微信公众号
刚刚
小忆时代发布了新的文献求助10
1秒前
1秒前
linlinlin完成签到,获得积分10
2秒前
大模型应助1234采纳,获得10
2秒前
小张想发刊完成签到,获得积分10
2秒前
2秒前
2秒前
7777完成签到,获得积分20
3秒前
So今天吃啥完成签到,获得积分20
3秒前
edtaa发布了新的文献求助10
3秒前
3秒前
小李发布了新的文献求助10
4秒前
汉堡大王完成签到,获得积分10
4秒前
4秒前
共享精神应助xy采纳,获得10
4秒前
11发布了新的文献求助10
4秒前
研友_VZG7GZ应助xy采纳,获得10
4秒前
希望天下0贩的0应助xy采纳,获得10
4秒前
科目三应助xy采纳,获得10
5秒前
Owen应助xy采纳,获得10
5秒前
小二郎应助xy采纳,获得10
5秒前
5秒前
隐形曼青应助xy采纳,获得10
5秒前
沉静的紫文应助xy采纳,获得10
5秒前
小二郎应助xy采纳,获得10
5秒前
娜娜完成签到,获得积分10
5秒前
赘婿应助relevance采纳,获得10
6秒前
李健应助xy采纳,获得10
6秒前
6秒前
阿俞应助pyh采纳,获得20
6秒前
熙熙攘攘发布了新的文献求助10
7秒前
科研通AI6.4应助So今天吃啥采纳,获得10
8秒前
CipherSage应助饱满服饰采纳,获得10
8秒前
快乐紫菜发布了新的文献求助10
8秒前
大模型应助一颗柠檬采纳,获得10
8秒前
超帅涵柳应助宗晓凡采纳,获得10
8秒前
8秒前
炫潮浪子发布了新的文献求助10
9秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 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
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 500
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 7250582
求助须知:如何正确求助?哪些是违规求助? 8873274
关于积分的说明 18727593
捐赠科研通 6930216
什么是DOI,文献DOI怎么找? 3199182
关于科研通互助平台的介绍 2374229
邀请新用户注册赠送积分活动 2173822