非匹配队列特征
肺移植受者行政索赔队列的非匹配队列特征数据,用于分析侵袭性念珠菌病风险与结局。

基本信息
资源简介
非匹配队列特征
【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 9.73 KB,主题涵盖 targeted preventive strategies、prolonged hospital stays、optumlabs &# 174、longer hospital stays、exclusion criteria included,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《Non-matched cohort characteristics.》。源站首次发布:2025-08-21。
【数据内容】
源站原始描述:Introduction Lung transplant recipients (LTRs) are susceptible to invasive candidiasis (IC). This study aimed to assess the incidence, risk factors, and impact of IC on mortality in LTRs using a national insurance claims cohort. Methods We conducted a retrospective cohort study using administrative claims data from the OptumLabs® Data Warehouse. We identified LTRs from January 1, 2005, to December 31, 2023, using procedural codes. Exclusion criteria included re-transplantations and pre-transplan…
【数据结构与技术规格】
文件数 1 个,合计 9.73 KB。Table 1.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pone.0330162.t001。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Evolutionary Biology、Developmental Biology、Cancer、Science Policy。主题标签:targeted preventive strategies、prolonged hospital stays、optumlabs &# 174、longer hospital stays、exclusion criteria included、corporeal membrane oxygenation、using procedural codes、identify risk factors、lung transplant recipients、index hospitalization ).。
【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/Non-matched_cohort_characteristics_/29960816
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Pennington, Kelly M.; Heien, Herb; Yadav, Hemang; Yao, Xiaoxi; White, Bradley; Peters, Steve G.; et al. (2025). Non-matched cohort characteristics.. PLOS ONE. Dataset
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)
- 源站标题:Non-matched cohort characteristics.
- DOI:10.1371/journal.pone.0330162.t001
- 发布日期:2025-08-21
- 文件数:1 个
- 文件总体积:9.73 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Non-matched_cohort_characteristics_/29960816
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/57344156"
文件清单
Table 1.xls(9.73 KB)
文件总体积 9.73 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
Introduction
Lung transplant recipients (LTRs) are susceptible to invasive candidiasis (IC). This study aimed to assess the incidence, risk factors, and impact of IC on mortality in LTRs using a national insurance claims cohort.
Methods
We conducted a retrospective cohort study using administrative claims data from the OptumLabs® Data Warehouse. We identified LTRs from January 1, 2005, to December 31, 2023, using procedural codes. Exclusion criteria included re-transplantations and pre-transplant IC. We employed multivariable logistic regression to identify risk factors for IC and Cox Proportional Hazard models to assess the impact of IC on mortality.
Results
Among 1279 LTRs, 131 (10.2%) developed IC, primarily during the initial hospitalization for lung transplantation (index hospitalization). The median time to IC diagnosis was 32.0 days following transplant. Post-transplant extra-corporeal membrane oxygenation (ECMO) for more than 8 days was associated with IC (OR: 2.34; 95% CI 1.03 to 5.34). Mortality was higher in LTRs with IC (HR: 2.31; 95% CI: 1.45 to 3.67; p Conclusion
Invasive candidiasis affects approximately 10% of lung transplant recipients, most often during the initial hospitalization. It is associated with increased mortality, prolonged hospital stays, and a greater need for surgical re-intervention. These findings highlight the importance of early identification and targeted preventive strategies to improve outcomes in this high-risk population.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0330162.t001(source: https://plos.figshare.com/articles/dataset/Non-matched_cohort_characteristics_/29960816)。
数据缺失?
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