COVID-19疫情期间TIA/轻度卒中患者就诊延迟的回顾性研究数据（表1）

数据集获取（Figshare）

• 源站标题：Table_1_Delays in Presentation Time Under the COVID-19 Epidemic in Patients With Transient Ischemic Attack and Mild Stroke: A Retrospective Study of Three Hospitals in a Japanese Prefecture.docx
• DOI：10.3389/fneur.2021.748316.s001
• 发布日期：2021-10-27
• 文件数：1 个
• 文件总体积：27.05 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Delays_in_Presentation_Time_Under_the_COVID-19_Epidemic_in_Patients_With_Transient_Ischemic_Attack_and_Mild_Stroke_A_Retrospective_Study_of_Three_Hospitals_in_a_Japanese_Prefecture_docx/16880986

命令行下载

curl -L -o "Table_1_Delays in Presentation Time Under the COVID-19 Epidemic in Patients With Transient Ischemic Attack and Mild Stroke: A Retrospective Study of T.docx" "https://ndownloader.figshare.com/files/31211527"

文件清单

• Table_1_Delays in Presentation Time Under the COVID-19 Epidemic in Patients With Transient Ischemic Attack and Mild Stroke: A Retrospective Study of T.docx（27.05 KB）

文件总体积 27.05 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: Coronavirus Disease 2019 (COVID-19) has spread worldwide with collateral damage and therefore might affect the behavior of stroke patients with mild symptoms seeking medical attention.
Methods: Patients with ischemic stroke who were admitted to hospitals within 7 days of onset were retrospectively registered. The clinical characteristics, including onset-to-door time (ODT), of patients with a transient ischemic attack (TIA)/mild stroke (National Institutes of Health Stroke Scale [NIHSS] score of ≤ 3 on admission) or moderate/severe stroke were compared between those admitted from April 2019 to March 2020 (pre-COVID-19 period) and from April to September 2020 (COVID-19 period). Multivariable regression analysis was performed to identify factors associated with the ODT.
Results: Of 1,100 patients (732 men, median age, 73 years), 754 were admitted during the pre-COVID-19 period, and 346 were admitted during the COVID-19 period. The number and proportion of patients with TIA/minor stroke were 464 (61.5%) in the pre-COVID-19 period and 216 (62.4%) during the COVID-19 period. Among patients with TIA/mild stroke, the ODT was longer in patients admitted during the COVID-19 period compared with that of the pre-COVID-19 period (median 864 min vs. 508 min, p = 0.003). Multivariable analysis revealed the COVID-19 period of admission was associated with longer ODT (standardized partial regression coefficient 0.09, p = 0.003) after adjustment for age, sex, route of arrival, NIHSS score on admission, and the presence of hypertension, diabetes mellitus, and wake-up stroke. No significant change in the ODT was seen in patients with moderate/severe stroke.
Conclusions: The COVID-19 epidemic might increase the ODT of patients with TIA/mild stroke.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fneur.2021.748316.s001（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Delays_in_Presentation_Time_Under_the_COVID-19_Epidemic_in_Patients_With_Transient_Ischemic_Attack_and_Mild_Stroke_A_Retrospective_Study_of_Three_Hospitals_in_a_Japanese_Prefecture_docx/16880986）。