院前地面和直升机体外心肺复苏减少ECPR障碍:一个GIS模型

基于CARES和ROC数据库的院前ECPR地理信息系统模型,评估不同运输系统下ECPR合格率,显示院前地面和直升机系统分别提高两倍和四倍合格率。

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表格resuscitation outcome consortiumemergency medical servicesapplying clinical criteriabased system showedbased system exhibitedbased system duebased system compared4 %) ecprhospital cardiac arrestcare .</ pcardiac arrest registry4 %).</ p
Prehospital Ground and Helicopter-Based Extracorporeal Cardiopulmonary Resuscitation (ECPR) Reduce Barriers to ECPR: A GIS Model

基本信息

模态
表格
大小
0.000897138 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

院前地面和直升机体外心肺复苏减少ECPR障碍:一个GIS模型

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 5 个文件、合计 897.14 KB,主题涵盖 resuscitation outcome consortium、emergency medical services、applying clinical criteria、based system showed、based system exhibited,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Prehospital Ground and Helicopter-Based Extracorporeal Cardiopulmonary Resuscitation (ECPR) Reduce Barriers to ECPR: A GIS Model》。配套论文《Prehospital Ground and Helicopter-Based Extracorporeal Cardiopulmonary Resuscitation (ECPR) Reduce Barriers to ECPR: A GIS Model》发表于 Prehospital Emergency Care(2024),DOI:10.1080/10903127.2024.2355652。源站首次发布:2024-05-31。

【数据内容】

源站原始描述:Evidence suggests that Extracorporeal Cardiopulmonary Resuscitation (ECPR) can improve survival rates for nontraumatic out-of-hospital cardiac arrest (OHCA). However, when ECPR is indicated over 50% of potential candidates are unable to qualify in the current hospital-based system due to geographic limitations. This study employs a Geographic Information System (GIS) model to estimate the number of ECPR eligible patients within the United States in the current hospital-based system, a prehospita…

【数据结构与技术规格】

文件数 5 个,合计 897.14 KB。Supplemental_Figure_1.jpg:image/jpeg,665.52 KB。Supplemental_Table_1.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,26.57 KB。Supplemental_Table_2.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,27.36 KB。数据集 DOI:10.6084/m9.figshare.25944329.v1。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Environmental Sciences not elsewhere classified、Biological Sciences not elsewhere classified、Information Systems not elsewhere classified。主题标签:resuscitation outcome consortium、emergency medical services、applying clinical criteria、based system showed、based system exhibited、based system due、based system compared、4 %) ecpr、hospital cardiac arrest、cardiac arrest registry。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://tandf.figshare.com/articles/dataset/Prehospital_Ground_and_Helicopter-Based_Extracorporeal_Cardiopulmonary_Resuscitation_ECPR_Reduce_Barriers_to_ECPR_A_GIS_Model/25944329

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Prehospital Ground and Helicopter-Based Extracorporeal Cardiopulmonary Resuscitation (ECPR) Reduce Barriers to ECPR: A GIS Model. Taylor &amp; Francis. Gottula, Adam L.; Qi, Man; Lane, Bennett H.; Shaw, Christopher R.; Gorder, Kari; Powell, Elizabeth; et al

【使用注意】

· 源站最后修改于 2025-01-02,引用时请注意版本时效。

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下载信息

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使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Supplemental_Figure_1.jpg" "https://ndownloader.figshare.com/files/46750538"
curl -L -o "Supplemental_Table_1.docx" "https://ndownloader.figshare.com/files/46750541"
curl -L -o "Supplemental_Table_2.docx" "https://ndownloader.figshare.com/files/46750544"
curl -L -o "Supplemental_Table_3.docx" "https://ndownloader.figshare.com/files/46750550"
curl -L -o "Supplemental_Table_4.docx" "https://ndownloader.figshare.com/files/46750553"

文件清单

  • Supplemental_Figure_1.jpg(665.52 KB)
  • Supplemental_Table_1.docx(26.57 KB)
  • Supplemental_Table_2.docx(27.36 KB)
  • Supplemental_Table_3.docx(27.26 KB)
  • Supplemental_Table_4.docx(150.42 KB)

文件总体积 897.14 KB(源站 API 实测)。

数据说明

Evidence suggests that Extracorporeal Cardiopulmonary Resuscitation (ECPR) can improve survival rates for nontraumatic out-of-hospital cardiac arrest (OHCA). However, when ECPR is indicated over 50% of potential candidates are unable to qualify in the current hospital-based system due to geographic limitations. This study employs a Geographic Information System (GIS) model to estimate the number of ECPR eligible patients within the United States in the current hospital-based system, a prehospital ECPR ground-based system, and a prehospital ECPR Helicopter Emergency Medical Services (HEMS)-based system.
We constructed a GIS model to estimate ground and helicopter transport times. Time-dependent rates of ECPR eligibility were derived from the Resuscitation Outcome Consortium (ROC) database, while the Cardiac Arrest Registry to Enhance Survival (CARES) registry determined the number of OHCA patients meeting ECPR criteria within designated transportation times. Emergency Medical Services (EMS) response time, ECPR candidacy determination time, and on-scene time were modeled based on data from the EROCA trial. The combined model was used to estimate the total ECPR eligibility in each system.
The CARES registry recorded 736,066 OHCA patients from 2013 to 2021. After applying clinical criteria, 24,661 (3.4%) ECPR-indicated OHCA were identified. When considering overall ECPR eligibility within 45 min from OHCA to initiation, only 11.76% of OHCA where ECPR was indicated were eligible in the current hospital-based system. The prehospital ECPR HEMS-based system exhibited a four-fold increase in ECPR eligibility (49.3%), while the prehospital ground-based system showed a more than two-fold increase (28.4%).
The study demonstrates a two-fold increase in ECPR eligibility for a prehospital ECPR ground-based system and a four-fold increase for a prehospital ECPR HEMS-based system compared to the current hospital-based ECPR system. This novel GIS model can inform future ECPR implementation strategies, optimizing systems of care.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.25944329.v1(source: https://tandf.figshare.com/articles/dataset/Prehospital_Ground_and_Helicopter-Based_Extracorporeal_Cardiopulmonary_Resuscitation_ECPR_Reduce_Barriers_to_ECPR_A_GIS_Model/25944329)。

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