Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards

被引:0
作者
Kyung-Jae Cho
Jung Soo Kim
Dong Hyun Lee
Sang‑Min Lee
Myung Jin Song
Sung Yoon Lim
Young-Jae Cho
You Hwan Jo
Yunseob Shin
Yeon Joo Lee
机构
[1] VUNO,Division of Critical Care Medicine, Department of Hospital Medicine
[2] Inha College of Medicine,Department of Intensive Care Medicine
[3] Dong-A University Hospital,Department of Critical Care Medicine
[4] College of Medicine,Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine
[5] Seoul National University Hospital,Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine
[6] Seoul National University Hospital,Department of Emergency Medicine
[7] Seoul National University College of Medicine,undefined
[8] Seoul National University College of Medicine,undefined
[9] Seoul National University Bundang Hospital,undefined
[10] Seoul National University College of Medicine,undefined
[11] Seoul National University Bundang Hospital,undefined
来源
Critical Care | / 27卷
关键词
Cardiac arrest; Intensive care unit; Early warning score; Artificial intelligence; Deep learning; Rapid response system;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 130 条
[1]  
Jones DA(2011)Rapid-response teams N Engl J Med 365 139-146
[2]  
DeVita MA(2006)Findings of the first consensus conference on medical emergency teams Crit Care Med 34 2463-2478
[3]  
Bellomo R(2010)‘Identifying the hospitalised patient in crisis’–A consensus conference on the afferent limb of rapid response systems Resuscitation 81 375-382
[4]  
Devita MA(2008)A review, and performance evaluation, of single-parameter “track and trigger” systems Resuscitation 79 11-21
[5]  
Bellomo R(2008)Review and performance evaluation of aggregate weighted “track and trigger” systems Resuscitation 77 170-179
[6]  
Hillman K(2020)Comparison of early warning scoring systems for hospitalized patients with and without infection at risk for in-hospital mortality and transfer to the Intensive Care Unit JAMA Netw Open 3 78-85
[7]  
Kellum J(2021)A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wards Resuscitation 163 1200-1210
[8]  
Rotondi A(2019)In-hospital cardiac arrest: a review JAMA 321 21-27
[9]  
Teres D(2016)Unplanned ICU transfers from inpatient units: examining the prevalence and preventability of adverse events associated with ICU transfer in pediatrics J Pediatr Intensive Care 5 68-72
[10]  
DeVita MA(2011)Unplanned transfers to a medical intensive care unit: Causes and relationship to preventable errors in care J Hosp Med 6 122-131