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!

[Construction of a predictive model for early acute kidney injury risk in intensive care unit septic shock patients based on machine learning].

降钙素原 医学 感染性休克 急性肾损伤 重症监护室 接收机工作特性 阿帕奇II 机械通风 重症监护医学 血液滤过 沙发评分 肾脏替代疗法 肌酐 休克(循环) 急诊医学 内科学 败血症 血液透析
作者
Suzhen Zhang,Sujuan Tang,Rong Shan,Manchen Zhu,Jianguo Liu,Qinghe Hu,Cuiping Hao
出处
期刊:PubMed 卷期号:34 (3): 255-259 被引量:3
标识
DOI:10.3760/cma.j.cn121430-20211126-01790
摘要

To analyze the risk factors of acute kidney injury (AKI) in patients with septic shock in intensive care unit (ICU), construct a predictive model, and explore the predictive value of the predictive model.The clinical data of patients with septic shock who were hospitalized in the ICU of the Affiliated Hospital of Jining Medical College from April 2015 to June 2019 were retrospectively analyzed. According to whether the patients had AKI within 7 days of admission to the ICU, they were divided into AKI group and non-AKI group. 70% of the cases were randomly selected as the training set for building the model, and the remaining 30% of the cases were used as the validation set. XGBoost model was used to integrate relevant parameters to predict the risk of AKI in patients with septic shock. The predictive ability was assessed through receiver operator characteristic curve (ROC curve), and was correlated with acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), procalcitonin (PCT) and other comparative verification models to verify the predictive value.A total of 303 patients with septic shock were enrolled, including 153 patients with AKI and 150 patients without AKI. The incidence of AKI was 50.50%. Compared with the non-AKI group, the AKI group had higher APACHE II score, SOFA score and blood lactate (Lac), higher dose of norepinephrine (NE), higher proportion of mechanical ventilation, and tachycardiac. In the XGBoost prediction model of AKI risk in septic shock patients, the top 10 features were serum creatinine (SCr) level at ICU admission, NE use, drinking history, albumin, serum sodium, C-reactive protein (CRP), Lac, body mass index (BMI), platelet count (PLT), and blood urea nitrogen (BUN) levels. Area under the ROC curve (AUC) of the XGBoost model for predicting the risk of AKI in patients with septic shock was 0.816, with a sensitivity of 73.3%, a specificity of 71.7%, and an accuracy of 72.5%. Compared with the APACHE II score, SOFA score and PCT, the performance of the model improved significantly. The calibration curve of the model showed that the goodness of fit of the XGBoost model was higher than the other scores (the calibration curve had the lowest score, with a score of 0.205).Compared with the commonly used clinical scores, the XGBoost model can more accurately predict the risk of AKI in patients with septic shock, which helps to make appropriate diagnosis, treatment and follow-up strategies while predicting the prognosis of patients.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
2秒前
李李发布了新的文献求助10
3秒前
bksqc发布了新的文献求助10
5秒前
要文献啊完成签到 ,获得积分10
5秒前
10秒前
WUHUIWEN完成签到,获得积分10
14秒前
Liiiiiiiiii发布了新的文献求助10
14秒前
15秒前
18秒前
尊敬夜南发布了新的文献求助10
20秒前
韦雪莲完成签到 ,获得积分10
37秒前
wz完成签到,获得积分10
38秒前
44秒前
Liiiiiiiiii完成签到,获得积分10
47秒前
杜德爽发布了新的文献求助10
49秒前
好好搞科研完成签到 ,获得积分10
51秒前
52秒前
热情的寄瑶完成签到 ,获得积分10
54秒前
yanglinhai完成签到 ,获得积分10
1分钟前
饱满含玉完成签到,获得积分10
1分钟前
1分钟前
1分钟前
CipherSage应助bksqc采纳,获得10
1分钟前
1分钟前
大神完成签到,获得积分0
1分钟前
爆米花应助科研通管家采纳,获得10
1分钟前
研友_VZG7GZ应助科研通管家采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
科研通AI2S应助PEITON采纳,获得10
2分钟前
bksqc发布了新的文献求助10
2分钟前
Qiuyajing完成签到,获得积分10
2分钟前
JOJO完成签到,获得积分10
2分钟前
3分钟前
深情安青应助干净涵梅采纳,获得10
3分钟前
沉静的安青完成签到 ,获得积分10
3分钟前
3分钟前
高分求助中
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3990031
求助须知:如何正确求助?哪些是违规求助? 3532108
关于积分的说明 11256334
捐赠科研通 3270943
什么是DOI,文献DOI怎么找? 1805146
邀请新用户注册赠送积分活动 882270
科研通“疑难数据库(出版商)”最低求助积分说明 809228