亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

The predict value of serum/urocystatin C on acute kidney injury in elderly patients with sepsis

医学 败血症 急性肾损伤 内科学 胃肠病学 价值(数学) 重症监护医学 计算机科学 机器学习
作者
Zhixiang Bian,Rui Zhu,Shunjie Chen
出处
期刊:Experimental Gerontology [Elsevier BV]
卷期号:155: 111576-111576 被引量:10
标识
DOI:10.1016/j.exger.2021.111576
摘要

To evaluate the predict value of serum/urocystatin C in acute kidney injury (AKI) in elderly patients with sepsis. A retrospective study was performed and 80 senile patients with sepsis in ** hospital of China was included. According to the diagnosis of AKI, all patients were divided into non-AKI group and AKI group. The clinical characteristics, laboratory and physiological indicators of the two groups were compared. The receiver operating characteristic curve (ROC) was used to analyze the accuracy of the variables, including serum cystatin C, urocystatin C, and serum creatinine, to predict the occurrence of AKI in patients with sepsis. Of the 80 elderly patients with sepsis in China, 29 patients had AKI. Compared with the non-AKI group, patients in the AKI group had higher APACHE II scores, higher SOFA scores, higher procalcitonin, and lower mean arterial pressure (P < 0.05). The levels of serum cystatin C, urocystatin C, and serum creatinine in the AKI group were significantly higher than those in the non-AKI group (P < 0.05), while the difference in intensive care unit (ICU) mortality rate between the two groups was not significantly different (P > 0.05). The ROC curve showed that the area under the curve of serum cystatin C was 0.893, the area under the curve of urocystatin C was 0.898, and the area under the curve of serum creatinine was 0.652. Serum cystatin and urocystatin could be used to predict the occurrence of AKI in elderly patients with sepsis.
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
15秒前
头号玩家发布了新的文献求助10
19秒前
23秒前
酷波er应助清新采纳,获得10
29秒前
芳华如梦完成签到 ,获得积分10
36秒前
36秒前
爱笑的毛衣完成签到,获得积分10
38秒前
清新发布了新的文献求助10
41秒前
张欢馨应助科研通管家采纳,获得10
44秒前
张欢馨应助科研通管家采纳,获得10
44秒前
44秒前
无极微光应助科研通管家采纳,获得20
44秒前
Jasper应助科研通管家采纳,获得10
44秒前
zw完成签到 ,获得积分10
51秒前
Liangccg完成签到 ,获得积分10
54秒前
57秒前
58秒前
YI完成签到 ,获得积分10
59秒前
1分钟前
1分钟前
王静怡发布了新的文献求助10
1分钟前
田様应助ayiaw采纳,获得20
1分钟前
爱思考的小笨笨完成签到,获得积分10
1分钟前
天天快乐应助王静怡采纳,获得10
1分钟前
abdu发布了新的文献求助10
1分钟前
杨洁完成签到,获得积分10
1分钟前
1分钟前
0805zz发布了新的文献求助10
1分钟前
1分钟前
缥缈发布了新的文献求助10
2分钟前
iNk应助abdu采纳,获得20
2分钟前
头号玩家完成签到,获得积分10
2分钟前
北欧森林完成签到,获得积分10
2分钟前
SciGPT应助0805zz采纳,获得10
2分钟前
缥缈完成签到,获得积分20
2分钟前
May完成签到,获得积分10
2分钟前
2分钟前
molihuakai应助ChencanFang采纳,获得10
2分钟前
Nian发布了新的文献求助10
2分钟前
复杂妙海完成签到,获得积分10
2分钟前
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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6371600
求助须知:如何正确求助?哪些是违规求助? 8185214
关于积分的说明 17271303
捐赠科研通 5426013
什么是DOI,文献DOI怎么找? 2870525
邀请新用户注册赠送积分活动 1847432
关于科研通互助平台的介绍 1694042