数据表1_中国农村与城市医院急性心肌梗死患者经皮冠状动脉介入治疗与院内死亡率差距：中介分析

数据集获取（Figshare）

• 源站标题：DataSheet1_The Chasm in Percutaneous Coronary Intervention and In-Hospital Mortality Rates Among Acute Myocardial Infarction Patients in Rural and Urban Hospitals in China: A Mediation Analysis.doc
• DOI：10.3389/ijph.2022.1604846.s001
• 发布日期：2022-07-07
• 文件数：1 个
• 文件总体积：140.29 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/DataSheet1_The_Chasm_in_Percutaneous_Coronary_Intervention_and_In-Hospital_Mortality_Rates_Among_Acute_Myocardial_Infarction_Patients_in_Rural_and_Urban_Hospitals_in_China_A_Mediation_Analysis_doc/20260866

命令行下载

curl -L -o "DataSheet1_The Chasm in Percutaneous Coronary Intervention and In-Hospital Mortality Rates Among Acute Myocardial Infarction Patients in Rural and Urb.doc" "https://ndownloader.figshare.com/files/36196896"

文件清单

• DataSheet1_The Chasm in Percutaneous Coronary Intervention and In-Hospital Mortality Rates Among Acute Myocardial Infarction Patients in Rural and Urb.doc（140.29 KB）

文件总体积 140.29 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

Objectives: To determine to what extent the inequality in the ability to provide percutaneous coronary intervention (PCI) translates into outcomes for AMI patients in China.
Methods: We identified 82,677 patients who had primary diagnoses of AMI and were hospitalized in Shanxi Province, China, between 2013 and 2017. We applied logistic regressions with inverse probability weighting based on propensity scores and mediation analyses to examine the association of hospital rurality with in-hospital mortality and the potential mediating effects of PCI.
Results: In multivariate models where PCI was not adjusted for, rural hospitals were associated with a significantly higher risk of in-hospital mortality (odds ratio [OR]: 1.19, 95% confidence interval [CI]: 1.03–1.37). However, this association was nullified (OR: 0.94, 95% CI: 0.81–1.08) when PCI was included as a covariate. Mediation analyses revealed that PCI significantly mediated 132.3% (95% CI: 104.1–256.6%) of the effect of hospital rurality on in-hospital mortality. The direct effect of hospital rurality on in-hospital mortality was insignificant.
Conclusion: The results highlight the need to improve rural hospitals’ infrastructure and address the inequalities of treatments and outcomes in rural and urban hospitals.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/ijph.2022.1604846.s001（source: https://frontiersin.figshare.com/articles/dataset/DataSheet1_The_Chasm_in_Percutaneous_Coronary_Intervention_and_In-Hospital_Mortality_Rates_Among_Acute_Myocardial_Infarction_Patients_in_Rural_and_Urban_Hospitals_in_China_A_Mediation_Analysis_doc/20260866）。