Ubon-脓毒症项目效果数据

Ubon-脓毒症研究数据,包含4989例社区获得性脓毒症患者的人口统计学、临床信息和28天死亡率,用于评估脓毒症快速通道项目效果。

Figshare
2021-01-29 更新
浏览 23
表格community acquired infectionsclinical epidemiologyInfectious DiseasesEpidemiologyIntensive Care
Effectiveness of a sepsis programme in a resource-limited setting: a retrospective analysis of data of a prospective observational study (Ubon-sepsis)

基本信息

模态
表格
大小
0.001256603 GB
许可
CC BY 4.0
创建/更新时间
2021-01-29
版本
v1

资源简介

Ubon-脓毒症项目效果数据

【数据集背景】

本数据集源站标题为《Effectiveness of a sepsis programme in a resource-limited setting: a retrospective analysis of data of a prospective observational study (Ubon-sepsis)》。配套论文《Clinical epidemiology and outcomes of community acquired infection and sepsis among hospitalized patients in a resource limited setting in Northeast Thailand: A prospective observational study (Ubon-sepsis)》发表于 PLOS ONE(2018),DOI:10.1371/journal.pone.0204509。项目资助方:Wellcome Trust (090219/Z/09/Z) and National Heart, Lung and Blood Institute, National Institutes of Health (R01HL113382)。源站首次发布:2021-01-29。

【数据内容】

源站原始描述:This data are a part of the data of the prospective observational (non-interventional) study of community-acquired sepsis and severe sepsis in Sunpasitthiprasong Hospital, Ubon Ratchathani province, northeast Thailand (Ubon-sepsis study NCT02217592) ( with a few additional variables based on the study, “Effectiveness of a sepsis programme in a resource-limited setting: a retrospective analysis of data of a prospective observational study (Ubon-sepsis)” In Ubon-sepsis cohort, from March 2013 to J…

【数据结构与技术规格】

文件数 2 个,合计 1.26 MB。Ubon-SepsisThailand_NCT02217592_SFTdata_20201020.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,1.24 MB。Ubon-SepsisThailand_NCT02217592_SFTdatadictionary_20201020.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,16.94 KB。数据集 DOI:10.6084/m9.figshare.12102627.v1。

【主题与分类】

源站学科分类:Infectious diseases、Epidemiology not elsewhere classified、Intensive care。主题标签:sepsis, severe sepsis, quickSOFA, SOFA, SIRS, resource-limited settings, resource-poor countries.、community acquired infections、clinical epidemiology、Infectious Diseases、Epidemiology、Intensive Care。

【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://figshare.com/articles/dataset/Effectiveness_of_a_sepsis_programme_in_a_resource-limited_setting_a_retrospective_analysis_of_data_of_a_prospective_observational_study_Ubon-sepsis_/12102627

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

规范引用:Booraphun, Suchart; Hantrakun, Viriya; Boonsri, Chaiyaporn; Poomthong, Pulyamon; Singkaew, Bung-Orn; Wasombat, Oratai; et al. (2021). Effectiveness of a sepsis programme in a resource-limited setting: a retrospective analysis of data of a prospective observational study (Ubon-sepsis). figshare. Data…

【使用注意】

· 源站最后修改于 2023-06-03,引用时请注意版本时效。

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

帮我联系

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 "Ubon-SepsisThailand_NCT02217592_SFTdata_20201020.xlsx" "https://ndownloader.figshare.com/files/25160873"
curl -L -o "Ubon-SepsisThailand_NCT02217592_SFTdatadictionary_20201020.xlsx" "https://ndownloader.figshare.com/files/25160876"

文件清单

  • Ubon-SepsisThailand_NCT02217592_SFTdata_20201020.xlsx(1.24 MB)
  • Ubon-SepsisThailand_NCT02217592_SFTdatadictionary_20201020.xlsx(16.94 KB)

文件总体积 1.26 MB(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

This data are a part of the data of the prospective observational (non-interventional) study of community-acquired sepsis and severe sepsis in Sunpasitthiprasong Hospital, Ubon Ratchathani province, northeast Thailand (Ubon-sepsis study NCT02217592) (https://doi.org/10.6084/m9.figshare.5544592.v3) with a few additional variables based on the study, “Effectiveness of a sepsis programme in a resource-limited setting: a retrospective analysis of data of a prospective observational study (Ubon-sepsis)”

In Ubon-sepsis cohort, from March 2013 to January 2017, we prospectively enrolled adult patients (age≥18 years) who were admitted with a primary diagnosis of suspected or documented infection made by the attending physician, were within 24 hours of hospital admission, and had at least three sepsis diagnostic criteria documented in the medical record (PMCID: PMC6157894 and PMC6886203).

In this study, “Effectiveness of a sepsis programme in a resource-limited setting: a retrospective analysis of data of a prospective observational study (Ubon-sepsis)”, we report effectiveness of a Sepsis Fast Track (SFT) programme implemented at a regional referral hospital in Thailand in January 2015. The main outcomes was 28-day mortality. The secondary outcomes were measured sepsis management. Of all 4989 patients enrolled in the Ubon-sepsis cohort study, 3806 presented with community acquired sepsis (modified SOFA score ≥2) were included in the analysis.
The data comprises of demographic, clinical information and 28-day mortality of all 4989 patients enrolled into the Ubon-sepsis cohort at Sunpasitthiprasong Hospital, Ubon Ratchathani province, Thailand. There are two files, the data and the data descriptions.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.12102627.v1(source: https://figshare.com/articles/dataset/Effectiveness_of_a_sepsis_programme_in_a_resource-limited_setting_a_retrospective_analysis_of_data_of_a_prospective_observational_study_Ubon-sepsis_/12102627)。

数据缺失?

依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

获取专属数据定制方案