智能手机应用加速急性缺血性脑卒中患者院间转运进行血栓切除术的数据表

数据集获取（Figshare）

• 源站标题：Table_1_Use of a Smartphone Application to Speed Up Interhospital Transfer of Acute Ischemic Stroke Patients for Thrombectomy.DOCX
• DOI：10.3389/fneur.2021.606673.s001
• 发布日期：2021-05-31
• 文件数：1 个
• 文件总体积：18.55 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Use_of_a_Smartphone_Application_to_Speed_Up_Interhospital_Transfer_of_Acute_Ischemic_Stroke_Patients_for_Thrombectomy_DOCX/14704254

命令行下载

curl -L -o "Table_1_Use of a Smartphone Application to Speed Up Interhospital Transfer of Acute Ischemic Stroke Patients for Thrombectomy.DOCX" "https://ndownloader.figshare.com/files/28239360"

文件清单

• Table_1_Use of a Smartphone Application to Speed Up Interhospital Transfer of Acute Ischemic Stroke Patients for Thrombectomy.DOCX（18.55 KB）

文件总体积 18.55 KB（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

Background: In most countries, large cerebral artery occlusion is identified as the leading cause of disability. In 2015, five large-scale clinical trials confirmed the benefit of intra-arterial thrombectomy. However, thrombectomy is a highly technical and facility-dependent procedure. Primary stroke centers need to transfer patients to comprehensive stroke centers to perform thrombectomy. The time-lapse during interhospital transfer would decrease the chance of the patient’'s proper recovery. Communication barriers also contribute to this delay.
Aims: We used a smartphone application to overcome communication barriers between hospitals. We aimed to shorten the door-to-puncture time of interhospital transfer patients.
Methods: We began using a smartphone application, “LINE,” to facilitate interhospital communication on May 01, 2018. We carried out retrospective data analyses for all the transfer patients (n = 351), with the primary outcome being the door-to-puncture time in our comprehensive stroke center (China Medical University Hospital). We compared the three periods: May 01 to Dec 31, 2017 (before the use of the smartphone application); May 01 to Dec 31, 2018 (the 1st year of using the smartphone application); and May 01 to Dec 31, 2019 (the 2nd year of using the smartphone application). We also compared the transfer data with non-transfer thrombectomies in the same period.
Results: We compared 2017, 2018, and 2019 data. The total number of transfer patients increased over the years: 63, 113, 175, respectively. The mean door-to-puncture time decreased significantly, going from 109, through 102, to 92 min. Meanwhile, the mean door-to-puncture time in non-transfer patients were 140.3, 122.1, and 129.3 min. The main reason of time saving was the change of the way of communication, from point-to-point interhospital communication to hub-to-spoke interhospital communication.
Conclusions: We used this smartphone application to enhance interhospital communication, changed from the point-to-point to hub-to-spoke method. It made us overcome the communication barrier and build up interhospital connection, thus shortening the door-to-puncture time. Our experience demons

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fneur.2021.606673.s001（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Use_of_a_Smartphone_Application_to_Speed_Up_Interhospital_Transfer_of_Acute_Ischemic_Stroke_Patients_for_Thrombectomy_DOCX/14704254）。