心肺复苏中延迟除颤的相关因素：一项前瞻性模拟研究

数据集获取（Figshare）

• 源站标题：Factors associated with delayed defibrillation in cardiopulmonary resuscitation: A prospective simulation study
• DOI：10.1371/journal.pone.0178794
• 发布日期：2017-06-08
• 文件数：7 个
• 文件总体积：2.27 MB
• 源站页面：https://plos.figshare.com/articles/dataset/Factors_associated_with_delayed_defibrillation_in_cardiopulmonary_resuscitation_A_prospective_simulation_study/5094277

命令行下载

curl -L -o "S1 Fig.tif" "https://ndownloader.figshare.com/files/8646079"
curl -L -o "S2 Fig.tif" "https://ndownloader.figshare.com/files/8646097"
curl -L -o "S3 Fig.tif" "https://ndownloader.figshare.com/files/8646106"
curl -L -o "S1 Table.docx" "https://ndownloader.figshare.com/files/8646112"
curl -L -o "S1 File.pdf" "https://ndownloader.figshare.com/files/8646121"
curl -L -o "S2 File.docx" "https://ndownloader.figshare.com/files/8646127"
curl -L -o "S3 File.xlsx" "https://ndownloader.figshare.com/files/8646136"

文件清单

• S1 Fig.tif（73.06 KB）
• S2 Fig.tif（1.06 MB）
• S3 Fig.tif（155.63 KB）
• S1 Table.docx（12.65 KB）
• S1 File.pdf（847.79 KB）
• S2 File.docx（94.02 KB）
• S3 File.xlsx（24.25 KB）

文件总体积 2.27 MB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Introduction
Early defibrillation is an important factor of survival in cardiac arrest. However, novice resuscitators often struggle with cardiac arrest patients. We investigated factors leading to delayed defibrillation performed by final-year medical students within a simulated bystander cardiac arrest situation.
Methods
Final-year medical students received a refresher lecture and basic life support training before being confronted with a simulated cardiac arrest situation in a simulation ambulance. The scenario was analyzed for factors leading to delayed defibrillation. We compared the time intervals the participants needed for various measures with a benchmark set by experienced resuscitators. After training, the participants were interviewed regarding challenges and thoughts during the scenario.
Results
The median time needed for defibrillation was 158 s (n = 49, interquartile range: 107–270 s), more than six-fold of the benchmark time. The major part of total defibrillation time (49%; median, n = 49) was between onset of ventricular fibrillation and beginning to prepare the defibrillator, more specifically the time between end of preparation of the defibrillator and actual delivery of the shock, with a mean proportion of 26% (n = 49, SD = 17%) of the overall time needed for defibrillation (maximum 67%). Self-reported reasons for this delay included uncertainty about the next step to take, as reported by 73% of the participants. A total of 35% were unsure about which algorithm to follow. Diagnosing the patient was subjectively difficult for 35% of the participants. Overall, 53% of the participants felt generally confused.
Conclusions
Our study shows that novice resuscitators rarely achieve guideline-recommended defibrillation times. The most relative delays were observed when participants had to choose what to do next or which algorithm to follow, and thus i.e. performed extensive airway management before a life-saving defibrillation. Our data provides a first insight in the process of defibrillation delay and can be used to generate new hypotheses on how to provide a timely defibrillation.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0178794（source: https://plos.figshare.com/articles/dataset/Factors_associated_with_delayed_defibrillation_in_cardiopulmonary_resuscitation_A_prospective_simulation_study/5094277）。