中国急性非ST段抬高型心肌梗死患者诊疗与结局的医院层级差异数据表

基于中国急性心肌梗死注册研究的NSTEMI补充数据表,汇总三级医院诊疗与住院死亡结局差异。

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Data_Sheet_1_Current Status and Hospital-Level Differences in Care and Outcomes of Patients With Acute Non-ST-Segment Elevation Myocardial Infarction in China: Insights From China Acute Myocardial Infarction Registry

基本信息

模态
表格
大小
0.000294276 GB
许可
CC BY 4.0
创建/更新时间
2026-10-17
版本
v1

资源简介

中国急性非ST段抬高型心肌梗死患者诊疗与结局的医院层级差异数据表

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 294.28 KB,主题涵盖 in-hospital care、invasive strategies、medications、healthcare quality、outcome,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Data_Sheet_1_Current Status and Hospital-Level Differences in Care and Outcomes of Patients With Acute Non-ST-Segment Elevation Myocardial Infarction in China: Insights From China Acute Myocardial Infarction Registry.PDF》。配套论文《Association of Hospital-Level Differences in Care With Outcomes Among Patients With Acute ST-Segment Elevation Myocardial Infarction in China》发表于 JAMA Network Open(2020),DOI:10.1001/jamanetworkopen.2020.21677。源站首次发布:2022-01-17。

【数据内容】

源站原始描述:BackgroundWith the growing burden of non-ST-elevation myocardial infarction (NSTEMI), developing countries face great challenges in providing equitable treatment nationwide. However, little is known about hospital-level disparities in the quality of NSTEMI care in China. We aimed to investigate the variations in NSTEMI care and patient outcomes across the three hospital levels (province-, prefecture- and county-level, with decreasing scale) in China. MethodsData were derived from the China Acute…

中文译文(机器翻译,仅供快速理解,请以原文为准):背景:随着非ST段抬高型心肌梗死(NSTEMI)负担日益加重,发展中国家在全国范围内提供公平治疗面临巨大挑战。然而,关于中国NSTEMI诊疗质量的医院层面差异知之甚少。本研究旨在探讨中国三级医院体系(省级、地市级和县级,规模依次递减)中NSTEMI诊疗及患者结局的差异。 方法:数据来源于中国急性心肌梗死注册研究,连续纳入2013年1月至2016年11月期间来自中国大陆31个省、自治区、直辖市的NSTEMI患者。根据患者就诊医院级别进行分类。采用多水平广义混合模型分析医院级别与院内死亡风险之间的关系。 结果:共纳入8,054例NSTEMI患者(省级医院1,698例;地市级医院5,240例;县级医院1,116例)。地市级和县级医院的患者年龄更大,女性比例更高,心功能更差(P<0.05)。中国三级医院之间在NSTEMI临床表现和治疗模式方面存在显著差异,这可能在很大程度上解释了院内死亡率的医院层面差异。有必要开展质量改进举措,尤其是在较低级别医院中。

【数据结构与技术规格】

文件数 1 个,合计 294.28 KB。Data_Sheet_1_Current Status and Hospital-Level Differences in Care and Outcomes of Patients With Acute Non-ST-Segment Elevation Myocardial Infarction .PDF:application/pdf,294.28 KB。数据集 DOI:10.3389/fcvm.2021.800222.s001。

【主题与分类】

源站学科分类:Cardiology (incl. Cardiovascular Diseases)、Cardiology、Cardiorespiratory Medicine and Haematology not elsewhere classified。主题标签:in-hospital care、invasive strategies、medications、healthcare quality、outcome。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Current_Status_and_Hospital-Level_Differences_in_Care_and_Outcomes_of_Patients_With_Acute_Non-ST-Segment_Elevation_Myocardial_Infarction_in_China_Insights_From_China_Acute_Myocardial_Infarction_Registry_PDF/18516599

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Zhao, Qinghao; Xu, Haiyan; Zhang, Xuan; Ye, Yunqing; Dong, Qiuting; Fu, Rui; et al. (2022). Data_Sheet_1_Current Status and Hospital-Level Differences in Care and Outcomes of Patients With Acute Non-ST-Segment Elevation Myocardial Infarction in China: Insights From China Acute Myocardial Infarction…

【使用注意】

· 源站最后修改于 2023-06-16,引用时请注意版本时效。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

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当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Data_Sheet_1_Current Status and Hospital-Level Differences in Care and Outcomes of Patients With Acute Non-ST-Segment Elevation Myocardial Infarction .PDF" "https://ndownloader.figshare.com/files/33286415"

文件清单

  • Data_Sheet_1_Current Status and Hospital-Level Differences in Care and Outcomes of Patients With Acute Non-ST-Segment Elevation Myocardial Infarction .PDF(294.28 KB)

文件总体积 294.28 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

BackgroundWith the growing burden of non-ST-elevation myocardial infarction (NSTEMI), developing countries face great challenges in providing equitable treatment nationwide. However, little is known about hospital-level disparities in the quality of NSTEMI care in China. We aimed to investigate the variations in NSTEMI care and patient outcomes across the three hospital levels (province-, prefecture- and county-level, with decreasing scale) in China.
MethodsData were derived from the China Acute Myocardial Infarction Registry on patients with NSTEMI consecutively registered between January 2013 and November 2016 from 31 provinces and municipalities throughout mainland China. Patients were categorized according to the hospital level they were admitted to. Multilevel generalized mixed models were fitted to examine the relationship between the hospital level and in-hospital mortality risk.
ResultsIn total, 8,054 patients with NSTEMI were included (province-level: 1,698 patients; prefecture-level: 5,240 patients; county-level: 1,116 patients). Patients in the prefecture- and county-level hospitals were older, more likely to be female, and presented worse cardiac function than those in the province-level hospitals (P There were significant variations in NSTEMI presentation and treatment patterns across the three hospital levels in China, which may largely explain the hospital-level disparity in in-hospital mortality. Quality improvement initiatives are warranted, especially among lower-level hospitals.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fcvm.2021.800222.s001(source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Current_Status_and_Hospital-Level_Differences_in_Care_and_Outcomes_of_Patients_With_Acute_Non-ST-Segment_Elevation_Myocardial_Infarction_in_China_Insights_From_China_Acute_Myocardial_Infarction_Registry_PDF/18516599)。

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