Development and validation of a prediction model for postoperative intensive care unit admission in patients with non-cardiac surgery

布里氏评分 医学 列线图 接收机工作特性 重症监护室 心脏外科 曲线下面积 逻辑回归 急诊医学 重症监护 外科 重症监护医学 内科学 统计 数学
作者
Zhikun Xu,Shihua Yao,Zhongji Jiang,Linhui Hu,Zijun Huang,Quanjun Zeng,Xueyan Liu
出处
期刊:Heart & Lung [Elsevier]
卷期号:62: 207-214 被引量:3
标识
DOI:10.1016/j.hrtlng.2023.08.001
摘要

Accurately forecasting patients admitted to the intensive care units (ICUs) after surgery may improve clinical outcomes and guide the allocation of expensive and limited ICU resources. However, studies on predicting postoperative ICU admission in non-cardiac surgery have been limited.To develop and validate a prediction model combining pre- and intraoperative variables to predict ICU admission after non-cardiac surgery.This study is based on data from the Vital Signs DataBase (VitalDB) database. Predictors were selected using the least absolute shrinkage and selection operator regression method and logistic regression to develop a nomogram and an online web calculator. The model was internally verified by 1000-Bootstrap resampling. Performance of model was evaluated using area under the receiver operating characteristic curve (AUC), calibration curve and Brier score. The Youden's index was used to find the optimal nomogram's probability threshold. Clinical utility was assessed by decision curve analysis.This study included 5216 non-cardiac surgery patients; of these, 812 (15.6%) required postoperative ICU admission. Potential predictors included age, ASA classification, surgical department, emergency surgery, preoperative albumin level, preoperative urea nitrogen level, intraoperative crystalloid, intraoperative transfusion, intraoperative catheterization, and surgical time. A nomogram was constructed with an AUC of 0.917 (95% CI: 0.907-0.926) and a Brier score of 0.077. The Bootstrap-adjusted AUC was 0.914; the adjusted Brier score was 0.078. The calibration curve showed good agreement between predicted and actual probabilities; and the decision curve indicated clinical usefulness. Finally, we established an online web calculator for clinical application (https://xuzhikun.shinyapps.io/postopICUadmission1/).We developed and internally validated an easy-to-use nomogram for predicting ICU admission after non-cardiac surgery.
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
杨桑发布了新的文献求助20
刚刚
顾矜应助xu采纳,获得10
1秒前
1秒前
3秒前
4秒前
4秒前
6秒前
小金鱼儿完成签到,获得积分10
6秒前
天天快乐应助雪山飞龙采纳,获得10
6秒前
6秒前
淡淡的刺猬完成签到,获得积分10
6秒前
7秒前
星辰大海应助熊熊阁采纳,获得10
7秒前
bkagyin应助标致的代容采纳,获得10
8秒前
8秒前
Owen应助adeno采纳,获得10
8秒前
研友_VZG7GZ应助sinlar采纳,获得10
9秒前
cyj发布了新的文献求助10
10秒前
万能图书馆应助科研迪采纳,获得10
11秒前
juaner发布了新的文献求助10
12秒前
禾页完成签到 ,获得积分10
15秒前
杨桑发布了新的文献求助20
15秒前
16秒前
852应助xiaobai123456采纳,获得10
18秒前
cnspower应助nana采纳,获得100
18秒前
18秒前
20秒前
momo发布了新的文献求助10
22秒前
ZYSNNNN完成签到,获得积分10
22秒前
wanci应助HY采纳,获得10
23秒前
wanci应助甜豆包采纳,获得10
23秒前
24秒前
25秒前
茉莉发布了新的文献求助10
29秒前
水何澹澹完成签到,获得积分0
29秒前
杨桑发布了新的文献求助40
30秒前
30秒前
yanice发布了新的文献求助10
30秒前
jzx完成签到,获得积分10
32秒前
SciGPT应助王木木采纳,获得30
33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