早期全膝关节置换术后再入院的风险因素数据集

基于ACS-NSQIP数据库的全膝关节置换术后30天内再入院风险因素分析数据集,包含137,209例患者信息。

SciELO journalsSciELO journals
DataCite Commons
2020-08-28 更新
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表格ArthroplastyKneePatient readmissionRisk factors
RISK FACTORS FOR EARLY HOSPITAL READMISSION FOLLOWING TOTAL KNEE ARTHROPLASTY

基本信息

模态
表格
大小
0.000029184 GB
许可
CC BY-NC 4.0
创建/更新时间
2020-08-28
版本
v1

资源简介

早期全膝关节置换术后再入院的风险因素数据集

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 3 个文件、合计 29.18 KB,主题涵盖 Arthroplasty、Knee、Patient readmission、Risk factors,可用于统计建模、特征工程与队列分析,CC BY-NC 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《RISK FACTORS FOR EARLY HOSPITAL READMISSION FOLLOWING TOTAL KNEE ARTHROPLASTY》。配套论文《RISK FACTORS FOR EARLY HOSPITAL READMISSION FOLLOWING TOTAL KNEE ARTHROPLASTY》发表于 Acta Ortopédica Brasileira(2018),DOI:10.1590/1413-785220182605190790。源站首次发布:2018-11-07。

【数据内容】

源站原始描述:ABSTRACT Objective: To identify independent risk factors, complications and early hospital readmission following total knee arthroplasty. Methods: Using the ACS-NSQIP database, we identified patients who underwent primary TKA from 2012-2015. The primary outcome was early hospital readmission. Patient demographics, preoperative comorbidities, laboratory data, operative characteristics, and postoperative complications were compared between readmitted and non-readmitted patients. Logistic regressio…

中文译文(机器翻译,仅供快速理解,请以原文为准):摘要 目的:确定全膝关节置换术后独立危险因素、并发症及早期住院再入院。 方法:使用ACS-NSQIP数据库,我们识别了2012-2015年接受初次TKA的患者。主要结局为早期住院再入院。比较再入院与未再入院患者的人口统计学特征、术前合并症、实验室数据

【数据结构与技术规格】

文件数 3 个,合计 29.18 KB。数据集 DOI:10.6084/m9.figshare.7304693.v1。

【主题与分类】

源站学科分类:Orthopaedics。主题标签:Arthroplasty、Knee、Patient readmission、Risk factors。

【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://scielo.figshare.com/articles/dataset/RISK_FACTORS_FOR_EARLY_HOSPITAL_READMISSION_FOLLOWING_TOTAL_KNEE_ARTHROPLASTY/7304693

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

规范引用:Lehtonen, Eva J.; Hess, Matthew C.; McGwin Jr., Gerald; Shah, Ashish; Godoy-Santos, Alexandre Leme; Naranje, Sameer (2018). RISK FACTORS FOR EARLY HOSPITAL READMISSION FOLLOWING TOTAL KNEE ARTHROPLASTY. SciELO journals. Dataset

【使用注意】

· 源站最后修改于 2023-06-02,引用时请注意版本时效。

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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。

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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_1.xls" "https://ndownloader.figshare.com/files/13493738"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/13493741"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/13493744"

文件清单

  • Table_1.xls(13.82 KB)
  • Table_2.xls(5.63 KB)
  • Table_3.xls(9.73 KB)

文件总体积 29.18 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

ABSTRACT Objective: To identify independent risk factors, complications and early hospital readmission following total knee arthroplasty. Methods: Using the ACS-NSQIP database, we identified patients who underwent primary TKA from 2012-2015. The primary outcome was early hospital readmission. Patient demographics, preoperative comorbidities, laboratory data, operative characteristics, and postoperative complications were compared between readmitted and non-readmitted patients. Logistic regression identified independent risk factors for 30-day readmission. Results: 137,209 patients underwent TKA; 3.4% were readmitted within 30 days. Advanced age, male sex, black ethnicity, morbid obesity, presence of preoperative comorbidities, high ASA classification, and increased operative time were independently related risk factors. Asian and no reported race were negative risk factors. Postoperative complications: acute myocardial infarction, acute renal failure, stroke, pneumonia, pulmonary embolism, and deep vein thrombosis show positive associations. Conclusions: Advanced age, male sex, black ethnicity, morbid obesity, presence of comorbidities, high ASA classification and long operative time are independent risk factors for postoperative complications and early hospital readmission following total knee arthroplasty. Level of Evidence III, Case control study.

许可

CC BY-NC 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.7304693.v1(source: https://scielo.figshare.com/articles/dataset/RISK_FACTORS_FOR_EARLY_HOSPITAL_READMISSION_FOLLOWING_TOTAL_KNEE_ARTHROPLASTY/7304693)。

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。

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