随访结束前死亡百分比

基于威尔士SAIL电子健康记录,分析接受PCI和CABG心脏干预患者随访结束前死亡百分比及干预前后结局与费用。

NIAID Data Ecosystem
浏览 12
表格month clearance periodidentify patients residentcompared health outcomes70 &# 821110 &# 821103 &# 8211moderate cost increase27 ))deprivation01 &# 8211top 5 %.higher costs posttop 5
Percentage of deaths before end of follow-up.

基本信息

模态
表格
大小
0.000005632 GB
许可
CC BY 4.0
创建/更新时间
2026-10-17
版本
v1

资源简介

随访结束前死亡百分比

【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 5.63 KB,主题涵盖 month clearance period、identify patients resident、compared health outcomes、70 &# 8211、10 &# 8211,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《Percentage of deaths before end of follow-up.》。源站首次发布:2024-02-09。

【数据内容】

源站原始描述:Objectives The study aimed to assess if specialised healthcare service interventions in Wales benefit the population equitably in work commissioned by the Welsh Health Specialised Services Committee (WHSSC). Approach The study utilised anonymised individual-level, population-scale, routinely collected electronic health record (EHR) data held in the Secure Anonymised Information Linkage (SAIL) Databank to identify patients resident in Wales receiving specialist cardiac interventions. Measurement…

【数据结构与技术规格】

文件数 1 个,合计 5.63 KB。Table 9.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pone.0297049.t009。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Evolutionary Biology、Marine Biology、Cancer、Science Policy。主题标签:month clearance period、identify patients resident、compared health outcomes、70 &# 8211、10 &# 8211、03 &# 8211、moderate cost increase、27 )), deprivation、01 &# 8211、top 5 %.。

【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://plos.figshare.com/articles/dataset/Percentage_of_deaths_before_end_of_follow-up_/25197825

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

规范引用:Davies, Gareth; Akbari, Ashley; Bailey, Rowena; Evans, Lloyd; Smith, Kendal; Goodfellow, Jonathan; et al. (2024). Percentage of deaths before end of follow-up.. PLOS ONE. Dataset

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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。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

免登录

有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

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 "Table 9.xls" "https://ndownloader.figshare.com/files/44492889"

文件清单

  • Table 9.xls(5.63 KB)

文件总体积 5.63 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
The study aimed to assess if specialised healthcare service interventions in Wales benefit the population equitably in work commissioned by the Welsh Health Specialised Services Committee (WHSSC).
Approach
The study utilised anonymised individual-level, population-scale, routinely collected electronic health record (EHR) data held in the Secure Anonymised Information Linkage (SAIL) Databank to identify patients resident in Wales receiving specialist cardiac interventions. Measurement was undertaken of associated patient outcomes 2-years before and after the intervention (minus a 6-month clearance period on either side) by measuring events in primary care, hospital attendance, outpatient and emergency department. The analysis controlled for comorbidity (Charlson) and deprivation (Welsh Index of Multiple Deprivation), stratified by admission type (elective or emergency) and membership of top 5% post-intervention costs. Costs were estimated by multiplying events by mean person cost estimates.
Results
We identified 5,999 percutaneous coronary interventions (PCI) and 1,640 coronary artery bypass graft (CABG) between 2014-06-01 to 2020-02-29. The ratio of emergency to elective interventions was 2.85 for PCI and 1.04 for CABG. In multivariate analysis significant associations were identified for comorbidity (OR = 1.52, CI = (1.01–2.27)), deprivation (OR = 1.34, CI = (1.03–1.76)) and rurality (OR = 0.81, CI = (0.70–0.95)) for PCI interventions, and comorbidity (OR = 1.47, CI = (1.10–1.98)) for CABG. Higher costs post-intervention were associated with increased comorbidity for PCI and CABG in the top 5% cost groups, but for PCI this was not seen outside the top 5%. For PCI, moderate cost increase was associated with increased deprivation, but the picture was more mixed following CABG interventions. For both interventions, lower costs post intervention were seen in rural locations.
Conclusion
We identified and compared health outcomes for selected specialist cardiac interventions amongst patients resident in Wales, with these methods and analyses, providing a template for comparing other cardiac interventions.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0297049.t009(source: https://plos.figshare.com/articles/dataset/Percentage_of_deaths_before_end_of_follow-up_/25197825)。

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