急性冠脉综合征院前延迟研究数据表（AMIR研究）

数据集获取（Figshare）

• 源站标题：Data_Sheet_2_Pre-hospital delays among patients with acute coronary syndrome in the Russian Federation: a multicentre prospective observational cohort study (the AMIR Study).docx
• DOI：10.3389/femer.2023.1231318.s002
• 发布日期：2023-08-10
• 文件数：1 个
• 文件总体积：19.18 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_2_Pre-hospital_delays_among_patients_with_acute_coronary_syndrome_in_the_Russian_Federation_a_multicentre_prospective_observational_cohort_study_the_AMIR_Study_docx/23918250

命令行下载

curl -L -o "Data_Sheet_2_Pre-hospital delays among patients with acute coronary syndrome in the Russian Federation: a multicentre prospective observational cohort.docx" "https://ndownloader.figshare.com/files/41954040"

文件清单

• Data_Sheet_2_Pre-hospital delays among patients with acute coronary syndrome in the Russian Federation: a multicentre prospective observational cohort.docx（19.18 KB）

文件总体积 19.18 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

ObjectiveThis study aimed to describe total pre-hospital delays (symptom onset to admission), patient delays (symptom onset to calling for help), and transport delays (calling for help to admission) experienced by patients with acute coronary syndrome (ACS) in Russia and identify factors associated with longer delays.
MethodsA prospective observational cohort study of ACS patients with myocardial infarction recruited in hospitals providing percutaneous coronary intervention (PCI) and those that do not (non-PCI) in 13 regions and at multiple levels of the health system in Russia. Data were collected on pre-hospital delays between symptom onset and admission to the hospital providing definitive treatment, divided into patient delay (time between symptom onset and calling for help) and transport delay (time between calling for help and admission).
ResultsOf 902 patients, 701 (77.7%) had full data on pre-hospital delays. The median total pre-hospital delay in our study was 5.1 h, the median patient delay was 1.5 h, and the median transport delay was 2.1 h. Patient delays did not differ by age and sex, although having an ST-elevation myocardial infarction (STEMI) and certain symptom presentations, including severe pain, reduced delays. Transport delays were markedly reduced in those transported by emergency medical services (EMS) and taken directly to the hospital of definitive treatment (rather than to one closer but unable to offer PCI).
Although transport delays were reduced in those using EMS, just half of the patients using EMS had a transport delay of Delays are currently longer than the European Society of Cardiology guidelines for STEMI patients and other severe cases. Reducing patient delays will reduce overall delays. Transport delays are inevitable in many regions of Russia, but better triage of patients, increased use of EMS, and early thrombolysis in EMS, particularly for STEMI patients facing excessive transport delays, will reduce delays and buy time before PCI.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/femer.2023.1231318.s002（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_2_Pre-hospital_delays_among_patients_with_acute_coronary_syndrome_in_the_Russian_Federation_a_multicentre_prospective_observational_cohort_study_the_AMIR_Study_docx/23918250）。