Development of a clinical decision rule for the early prediction of Shock-Refractory Out-of-Hospital cardiac arrest
Author:
Funder
ZOLL Foundation
Publisher
Elsevier BV
Subject
Cardiology and Cardiovascular Medicine,Emergency Nursing,Emergency Medicine
Reference32 articles.
1. Recent trends in survival from out-of-hospital cardiac arrest in the United States;Chan;Circulation,2014
2. Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association;Tsao;Circulation,2022
3. 2018 American Heart Association Focused Update on Advanced Cardiovascular Life Support Use of Antiarrhythmic Drugs During and Immediately After Cardiac Arrest: An Update to the American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care
4. The number of prehospital defibrillation shocks and 1-month survival in patients with out-of-hospital cardiac arrest. Scand J Trauma Resusc;Hasegawa;Emerg Med,2015
5. Antiarrhythmic Drugs for Nonshockable-Turned-Shockable Out-of-Hospital Cardiac Arrest: The ALPS Study (Amiodarone, Lidocaine, or Placebo);Kudenchuk;Circulation,2017
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Initial Defibrillator Pad Position and Outcomes for Shockable Out-of-Hospital Cardiac Arrest;JAMA Network Open;2024-09-09
2. The association of early naloxone use with outcomes in non-shockable out-of-hospital cardiac arrest;Resuscitation;2024-08
3. Machine learning prediction of refractory ventricular fibrillation in out-of-hospital cardiac arrest using features available to EMS;Resuscitation Plus;2024-06
4. Use of resuscitative endovascular balloon occlusion of the aorta (REBOA) and ultrasound-guided left stellate ganglion block to rescue out of hospital cardiac arrest due to refractory ventricular fibrillation: A case report;Resuscitation Plus;2024-03
5. Machine learning pre-hospital real-time cardiac arrest outcome prediction (PReCAP) using time-adaptive cohort model based on the Pan-Asian Resuscitation Outcome Study;Scientific Reports;2023-11-21
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3