Extracorporeal Techniques Based on Adsorption: Nomenclature, Hardware, and Circuit Design

体外 医学 重症监护医学 人工肾 败血症 血浆置换术 血液透析 肾脏替代疗法 广谱 生物医学工程 外科 组合化学 免疫学 化学 抗体
作者
Claudio Ronco,Rinaldo Bellomo
出处
期刊:Contributions To Nephrology [Karger Publishers]
卷期号:: 66-73 被引量:3
标识
DOI:10.1159/000529313
摘要

Sorbents have been utilized in the past for intoxication and poisoning, but their spectrum of clinical application is now expanding. Hemoadsorption (HA) is still indicated for toxin and poison removal, but other molecules are considered appropriate targets for this blood purification modality. HA combined with hemodialysis (HA + HD) has been proposed for end-stage kidney disease patients to remove molecules that are not easily removed by classic HD or hemodiafiltration. More recently, a rationale for the use of sorbents in critical illness, sepsis, and acute kidney injury has emerged due to the proposed humoral theory behind these disorders. Pathogenetic circulating molecules in critical illness (damage- and pathogen-associated molecular patterns) cannot be sufficiently removed by classic continuous renal replacement therapies. New sorbent-based extracorporeal therapies have therefore been designed to remove these molecules, offering potential biological and clinical benefits. There is also the possibility of employing selective sorbents to target specific molecules or to perform nonspecific HA for a wide spectrum of molecules. Moreover, there is the possibility of separating plasma from blood and then applying adsorption to plasma or of combining HA with other extracorporeal therapies. Here, we describe a complete appraisal of current available techniques utilizing adsorption.

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
刚刚
1秒前
1秒前
cpufigo发布了新的文献求助10
2秒前
2秒前
2秒前
czq完成签到 ,获得积分10
2秒前
3秒前
zhangqi发布了新的文献求助10
3秒前
钱多多发布了新的文献求助10
3秒前
bella发布了新的文献求助10
3秒前
3秒前
核桃应助干净的琦采纳,获得50
3秒前
4秒前
烟花应助wzc采纳,获得10
5秒前
takii完成签到,获得积分10
6秒前
现代斌发布了新的文献求助10
6秒前
6秒前
WYC发布了新的文献求助10
6秒前
脑壳炸裂完成签到 ,获得积分10
6秒前
6秒前
DengHH发布了新的文献求助10
6秒前
7秒前
阿灿完成签到,获得积分10
7秒前
xuan发布了新的文献求助10
8秒前
8秒前
四喜丸子应助Hunter采纳,获得10
9秒前
木春完成签到,获得积分10
9秒前
9秒前
Archer发布了新的文献求助10
9秒前
蔓蔓要努力完成签到,获得积分10
9秒前
能干的皮带完成签到,获得积分10
10秒前
知知发布了新的文献求助10
10秒前
Yao完成签到,获得积分10
11秒前
wzc完成签到,获得积分10
11秒前
sin30cos60发布了新的文献求助10
11秒前
共享精神应助邹邹采纳,获得10
11秒前
DYZ完成签到,获得积分10
12秒前
12秒前
12秒前
高分求助中
Markov Chain Monte Carlo 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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 7583093
求助须知:如何正确求助?哪些是违规求助? 9161776
关于积分的说明 19604859
捐赠科研通 7165133
什么是DOI,文献DOI怎么找? 3266207
关于科研通互助平台的介绍 2431164
邀请新用户注册赠送积分活动 2257518