再插管求和计算:危重患者拔管失败预测评分表_表格3

基于ICU患者临床变量开发并验证的再插管预测评分(RISC)表格数据,用于识别拔管失败高风险患者。

NIAID Data Ecosystem
浏览 13
表格critical care medicineextubation failureintensive care unitmechanical ventilationreintubationpredictive modelingprediction scale
Table_3_Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients.docx

基本信息

模态
表格
大小
0.000014815 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

再插管求和计算:危重患者拔管失败预测评分表_表格3

【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 14.81 KB,主题涵盖 critical care medicine、extubation failure、intensive care unit、mechanical ventilation、reintubation,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《Table_3_Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients.docx》。配套论文《Implications of Extubation Delay in Brain-Injured Patients Meeting Standard Weaning Criteria》发表于 American Journal of Respiratory and Critical Care Medicine(2000),DOI:10.1164/ajrccm.161.5.9905102。源站首次发布:2022-02-17。

【数据内容】

源站原始描述:ObjectiveTo derive and validate a multivariate risk score for the prediction of respiratory failure after extubation. Patients and methodsWe performed a retrospective cohort study of adult patients admitted to the intensive care unit from January 1, 2006, to December 31, 2015, who received mechanical ventilation for ≥48 h. Extubation failure was defined as the need for reintubation within 72 h after extubation. Multivariate logistic regression model coefficient estimates generated the Re-Intubat…

【数据结构与技术规格】

文件数 1 个,合计 14.81 KB。Table_3_Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,14.81 KB。数据集 DOI:10.3389/fmed.2021.789440.s003。

【主题与分类】

源站学科分类:Radiology and Organ Imaging、Foetal Development and Medicine、Obstetrics and Gynaecology、Primary Health Care、Medical and Health Sciences not elsewhere classified、Dermatology。主题标签:critical care medicine、extubation failure、intensive care unit、mechanical ventilation、reintubation、predictive modeling、prediction scale。

【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/Table_3_Reintubation_Summation_Calculation_A_Predictive_Score_for_Extubation_Failure_in_Critically_Ill_Patients_docx/19186277

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

规范引用:Bansal, Vikas; Smischney, Nathan J.; Kashyap, Rahul; Li, Zhuo; Marquez, Alberto; Diedrich, Daniel A.; et al. (2022). Table_3_Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients.docx. Frontiers. Dataset

【使用注意】

· 源站最后修改于 2023-06-16,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。

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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。

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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_3_Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients.docx" "https://ndownloader.figshare.com/files/34089209"

文件清单

  • Table_3_Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients.docx(14.81 KB)

文件总体积 14.81 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

ObjectiveTo derive and validate a multivariate risk score for the prediction of respiratory failure after extubation.
Patients and methodsWe performed a retrospective cohort study of adult patients admitted to the intensive care unit from January 1, 2006, to December 31, 2015, who received mechanical ventilation for ≥48 h. Extubation failure was defined as the need for reintubation within 72 h after extubation. Multivariate logistic regression model coefficient estimates generated the Re-Intubation Summation Calculation (RISC) score.
ResultsThe 6,161 included patients were randomly divided into 2 sets: derivation (n = 3,080) and validation (n = 3,081). Predictors of extubation failure in the derivation set included body mass index 2 [odds ratio (OR), 1.91; 95% CI, 1.12–3.26; P = 0.02], threshold of Glasgow Coma Scale of at least 10 (OR, 1.68; 95% CI, 1.31–2.16; P 2O (OR, 2.11; 95% CI, 1.68–2.66; P RISC predicts extubation failure in mechanically ventilated patients in the intensive care unit using several clinically relevant variables available in the electronic medical record but requires a larger validation cohort before widespread clinical implementation.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fmed.2021.789440.s003(source: https://frontiersin.figshare.com/articles/dataset/Table_3_Reintubation_Summation_Calculation_A_Predictive_Score_for_Extubation_Failure_in_Critically_Ill_Patients_docx/19186277)。

数据缺失?

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