泰国公共医保计划下STEMI患者PCI死亡率表1

数据集获取（Figshare）

• 源站标题：Table1_Mortality rate of percutaneous coronary interventions in ST-segment elevation myocardial infarction patients under the public health insurance schemes of Thailand.docx
• DOI：10.3389/fcvm.2024.1397015.s001
• 发布日期：2024-10-04
• 文件数：1 个
• 文件总体积：792.89 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table1_Mortality_rate_of_percutaneous_coronary_interventions_in_ST-segment_elevation_myocardial_infarction_patients_under_the_public_health_insurance_schemes_of_Thailand_docx/27167172

命令行下载

curl -L -o "Table1_Mortality rate of percutaneous coronary interventions in ST-segment elevation myocardial infarction patients under the public health insurance .docx" "https://ndownloader.figshare.com/files/49599765"

文件清单

• Table1_Mortality rate of percutaneous coronary interventions in ST-segment elevation myocardial infarction patients under the public health insurance .docx（792.89 KB）

文件总体积 792.89 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

BackgroundIn Thailand, access to specific pharmaceuticals and medical devices for ST-elevation myocardial infarction (STEMI) patients is restricted within certain healthcare systems, leading to inequalities in the quality of medical care among different healthcare systems. This study aims to compare mortality rates within one year of STEMI patients among the public health insurance schemes of Thailand.
MethodologyThis study is a single-center retrospective analysis of patients with STEMI treated with primary percutaneous coronary intervention (pPCI). It involves patients utilizing various state health insurance schemes in Thailand from January 1, 2010, to December 31, 2020. Data collection occurred through the hospital’'s computerized management system and the registration administration office of the Department of Provincial Administration.
ResultsThe study involved 1,077 patients, categorized into three groups based on their state health insurance: Universal Health Coverage (UC) (546 patients, 50.7%), Social Security System (SS) (199 patients, 18.5%), and Civil Service Reimbursement (CS) (332 patients, 30.8%). The one-year mortality rates in these groups were 10.57%, 4.21%, and 6.47%, respectively (p = 0.010). In the unadjusted model, the SS group showed a lower risk of one-year mortality [Hazard Ratio (HR) 0.38, 95% CI 0.18–0.80, p = 0.011], and the CS group also demonstrated a lower risk (HR 0.59, 95% CI 0.35–0.99, p = 0.047) compared to the UC group. In the adjusted model, only the CS group significantly reduced the risk of one-year mortality. Other factors that affected one-year mortality were age ≥65 years, prior coronary artery diseases, Killip class 3–4, pre-discharge prescription of angiotensin-converting enzyme inhibitors, occlusion in the left anterior descending artery, multivessel disease, in-hospital atrial fibrillation/flutter and in-hospital pericardial effusion.
ConclusionHealthcare schemes play a significant role in influencing one-year mortality rates among STEMI patients treated with pPCI. This information would be crucial for developing strategies and programs to aid healthcare policymakers at both regional and international levels in reduci

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fcvm.2024.1397015.s001（source: https://frontiersin.figshare.com/articles/dataset/Table1_Mortality_rate_of_percutaneous_coronary_interventions_in_ST-segment_elevation_myocardial_infarction_patients_under_the_public_health_insurance_schemes_of_Thailand_docx/27167172）。