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]
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

祝大家在新的一年里科研腾飞
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
李健的小迷弟应助cyj采纳,获得10
1秒前
好好发布了新的文献求助10
1秒前
噜啦啦完成签到,获得积分10
2秒前
jojo完成签到 ,获得积分10
4秒前
稳重的蛟凤应助科研迪采纳,获得10
6秒前
111完成签到 ,获得积分10
6秒前
无花果应助xiaobai123456采纳,获得10
7秒前
9秒前
科研通AI6.1应助小比熊采纳,获得10
10秒前
葛信诚完成签到,获得积分10
11秒前
李若溪发布了新的文献求助30
13秒前
无花果应助茉莉采纳,获得10
17秒前
巴拉巴拉完成签到,获得积分10
17秒前
19秒前
好好完成签到,获得积分10
19秒前
杨桑发布了新的文献求助20
21秒前
22秒前
老肖完成签到,获得积分10
22秒前
蛋斤发布了新的文献求助10
24秒前
阿布发布了新的文献求助10
25秒前
1nooooo完成签到 ,获得积分10
25秒前
handsomeboy发布了新的文献求助10
26秒前
852应助ygy采纳,获得10
26秒前
老肖发布了新的文献求助10
34秒前
35秒前
35秒前
ksdbG发布了新的文献求助10
36秒前
36秒前
乐乐应助单薄静枫采纳,获得10
37秒前
杨桑发布了新的文献求助20
37秒前
38秒前
38秒前
38秒前
38秒前
38秒前
38秒前
38秒前
38秒前
38秒前
38秒前
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
Operational Bulk Evaporation Duct Model for MORIAH Version 1.2 1200
Variants in Economic Theory 1000
Signals, Systems, and Signal Processing 880
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 800
Discrete-Time Signals and Systems 510
Clinical Efficacy of the Hydrogel Patch Containing Loxoprofen Sodium (LX-A) on Osteoarthritis of the Knee-A Randomized, Open Label Clinical Study with Ketoprofen Patch-(Phase III Therapeutic Confirmatory Study) 410
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5842886
求助须知:如何正确求助?哪些是违规求助? 6177333
关于积分的说明 15610592
捐赠科研通 4960046
什么是DOI,文献DOI怎么找? 2674058
邀请新用户注册赠送积分活动 1618936
关于科研通互助平台的介绍 1574164