Personalized acute kidney injury treatment

医学 急性肾损伤 重症监护医学 生物标志物 生物标志物发现 临床试验 个性化医疗 心理干预 胱抑素C 生物信息学 内科学 肾功能 蛋白质组学 生物 基因 精神科 生物化学 化学
作者
Christian Porschen,Christian Strauss,Melanie Meersch,Alexander Zarbock
出处
期刊:Current Opinion in Critical Care [Lippincott Williams & Wilkins]
卷期号:29 (6): 551-558 被引量:9
标识
DOI:10.1097/mcc.0000000000001089
摘要

PURPOSE OF REVIEW: Acute kidney injury (AKI) is a complex syndrome that might be induced by different causes and is associated with an increased morbidity and mortality. Therefore, it is a very heterogeneous syndrome and establishing a "one size fits all" treatment approach might not work. This review aims to examine the potential of personalized treatment strategies for AKI. RECENT FINDINGS: The traditional diagnosis of AKI is based on changes of serum creatinine and urine output, but these two functional biomarkers have several limitations. Recent research identified different AKI phenotypes based on clinical features, biomarkers, and pathophysiological pathways. Biomarkers, such as Cystatin C, NGAL, TIMP2∗IGFBP7, CCL14, and DKK-3, have shown promise in predicting AKI development, renal recovery, and prognosis. Biomarker-guided interventions, such as the implementation of the KDIGO bundle, have demonstrated an improvement in renal outcomes in specific patient groups. SUMMARY: A personalized approach to AKI treatment as well as research is becoming increasingly important as it allows the identification of distinct AKI phenotypes and the potential for targeted interventions. By utilizing biomarkers and clinical features, physicians might be able to stratify patients into subphenotypes, enabling more individualized treatment strategies. This review highlights the potential of personalized AKI treatment, emphasizing the need for further research and large-scale clinical trials to validate the efficacy of these approaches.
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
1秒前
1秒前
AN关闭了AN的文献求助
1秒前
maxkun发布了新的文献求助10
2秒前
赘婿的应助被救赎采纳,获得10
2秒前
Nole的应助被失眠双双采纳,获得10
3秒前
汉堡包的应助被instill采纳,获得10
3秒前
情怀的应助被shally采纳,获得10
3秒前
香蕉觅云的应助被instill采纳,获得20
4秒前
4秒前
Nole的应助被olekravchenko采纳,获得10
4秒前
斯文败类的应助被能干小甜瓜采纳,获得10
4秒前
5秒前
科研通AI6.2的应助被abc采纳,获得10
6秒前
dazzlejj完成签到,获得积分10
7秒前
8秒前
gh发布了新的文献求助10
8秒前
活泼的晓露完成签到,获得积分10
9秒前
fsznc1完成签到 ,获得积分0
9秒前
斯文败类的应助被追寻飞绿采纳,获得10
9秒前
13秒前
13秒前
你好你好的应助被羞涩的烨华采纳,获得10
14秒前
Zhou的应助被羞涩的烨华采纳,获得10
15秒前
15秒前
Ruby发布了新的文献求助10
16秒前
16秒前
aaa发布了新的文献求助10
16秒前
16秒前
shally发布了新的文献求助10
17秒前
18秒前
18秒前
zuo发布了新的文献求助50
20秒前
橘子发布了新的文献求助10
21秒前
小羊打嗝发布了新的文献求助10
21秒前
王欣发布了新的文献求助10
21秒前
脑洞疼的应助被傻子与白痴采纳,获得10
23秒前
阿木完成签到 ,获得积分10
24秒前
科研通AI6.4的应助被CT采纳,获得30
24秒前
26秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
A Will for the Machine: Computerization, Automation, and the Arts in South Africa 400
Decentring Leadership 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7808433
求助须知:如何正确求助?哪些是违规求助? 9340928
关于积分的说明 20504324
捐赠科研通 7400692
什么是DOI,文献DOI怎么找? 3328820
关于科研通互助平台的介绍 2475533
邀请新用户注册赠送积分活动 2347140