中国癌症患者院内感染负担测量：基于倾向评分匹配的分析数据表1

数据集获取（Figshare）

• 源站标题：Data Sheet 1_Measuring the burden of nosocomial infection in cancer patients: an analysis based on propensity score matching in China.zip
• DOI：10.3389/fpubh.2025.1647455.s001
• 发布日期：2025-11-26
• 文件数：1 个
• 文件总体积：57.87 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Measuring_the_burden_of_nosocomial_infection_in_cancer_patients_an_analysis_based_on_propensity_score_matching_in_China_zip/30718526

命令行下载

curl -L -o "Data Sheet 1_Measuring the burden of nosocomial infection in cancer patients: an analysis based on propensity score matching in China.zip" "https://ndownloader.figshare.com/files/59853470"

文件清单

• Data Sheet 1_Measuring the burden of nosocomial infection in cancer patients: an analysis based on propensity score matching in China.zip（57.87 KB）

文件总体积 57.87 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

IntroductionCancer patients are more susceptible to nosocomial infections due to the suppression of their immune system as a result of factors such as the disease itself and treatment modalities. Nosocomial infections have become an important factor affecting the therapeutic effect, prognosis and quality of life of cancer patients, increasing their suffering and economic burden. This study aims to investigate the impact of hospital-acquired infections on the length of stay and hospitalization costs for cancer patients, providing economic health support for the prevention and control of such infections.
Materials and methodsWe extracted data on the basic information, infection status, hospitalization costs, and length of stay of inpatients from a large specialized cancer hospital’s infection information system and inpatient information, from July 2021 to June 2022. The influencing factors on hospitalization costs and length of stay for cancer patients were determined through literature review. After matching using the propensity score method, we analyzed the impact of hospital-acquired infections on the length of stay and hospitalization costs.
ResultsDuring the study period, a total of 407 hospital-acquired infections were reported, with an incidence rate of 0.58%. After propensity score matching and balance testing, compared with the control group, hospital-acquired infections prolonged the length of stay by 7 days (p Hospital-acquired infections significantly increase the length of stay and hospitalization costs for cancer patients, adding to the economic burden of the disease. The use of a literature review to determine covariates makes this conclusion more scientific.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fpubh.2025.1647455.s001（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Measuring_the_burden_of_nosocomial_infection_in_cancer_patients_an_analysis_based_on_propensity_score_matching_in_China_zip/30718526）。