腹膜透析相关性腹膜炎治疗失败的新型预测因素和风险评分数据表1
腹膜透析相关性腹膜炎患者治疗失败预测因素和风险评分的表格数据,包含314次发作的临床特征。

基本信息
资源简介
腹膜透析相关性腹膜炎治疗失败的新型预测因素和风险评分数据表1
【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 23.91 KB,主题涵盖 predictors、treatment failure、catheter removal、risk score,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《Data_Sheet_1_Novel Predictors and Risk Score of Treatment Failure in Peritoneal Dialysis-Related Peritonitis.DOCX》。配套论文《Peritoneal Dialysis–Related Peritonitis: Towards Improving Evidence, Practices, and Outcomes》发表于 American Journal of Kidney Diseases(2014),DOI:10.1053/j.ajkd.2014.02.025。源站首次发布:2021-03-26。
【数据内容】
源站原始描述:Objective: Peritonitis is a severe complication in peritoneal dialysis (PD). This study was performed to identify predictors and establish a risk score for treatment failure in peritonitis patients. Methods: A single-center, retrospective observational study was conducted. The basic demographic characteristics, clinical and laboratory data of all patients with peritonitis during the study period were documented and analyzed. Multivariate logistic regression was applied to examine independent pre…
【数据结构与技术规格】
文件数 1 个,合计 23.91 KB。Data_Sheet_1_Novel Predictors and Risk Score of Treatment Failure in Peritoneal Dialysis-Related Peritonitis.DOCX:application/vnd.openxmlformats-officedocument.wordprocessingml.document,23.91 KB。数据集 DOI:10.3389/fmed.2021.639744.s001。
【主题与分类】
源站学科分类:Radiology and Organ Imaging、Foetal Development and Medicine、Obstetrics and Gynaecology、Medical Genetics (excl. Cancer Genetics)、Medical and Health Sciences not elsewhere classified、Dermatology。主题标签:predictors、treatment failure、catheter removal、risk score。
【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/Data_Sheet_1_Novel_Predictors_and_Risk_Score_of_Treatment_Failure_in_Peritoneal_Dialysis-Related_Peritonitis_DOCX/14315972
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Liu, Xiang; Qin, Aiya; Zhou, Huan; He, Xueqin; Cader, Shamlin; Wang, Sirui; et al. (2021). Data_Sheet_1_Novel Predictors and Risk Score of Treatment Failure in Peritoneal Dialysis-Related Peritonitis.DOCX. Frontiers. Dataset
【使用注意】
· 源站最后修改于 2023-06-10,引用时请注意版本时效。
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:Data_Sheet_1_Novel Predictors and Risk Score of Treatment Failure in Peritoneal Dialysis-Related Peritonitis.DOCX
- DOI:10.3389/fmed.2021.639744.s001
- 发布日期:2021-03-26
- 文件数:1 个
- 文件总体积:23.91 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Novel_Predictors_and_Risk_Score_of_Treatment_Failure_in_Peritoneal_Dialysis-Related_Peritonitis_DOCX/14315972
命令行下载
curl -L -o "Data_Sheet_1_Novel Predictors and Risk Score of Treatment Failure in Peritoneal Dialysis-Related Peritonitis.DOCX" "https://ndownloader.figshare.com/files/27247352"
文件清单
Data_Sheet_1_Novel Predictors and Risk Score of Treatment Failure in Peritoneal Dialysis-Related Peritonitis.DOCX(23.91 KB)
文件总体积 23.91 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
Objective: Peritonitis is a severe complication in peritoneal dialysis (PD). This study was performed to identify predictors and establish a risk score for treatment failure in peritonitis patients.
Methods: A single-center, retrospective observational study was conducted. The basic demographic characteristics, clinical and laboratory data of all patients with peritonitis during the study period were documented and analyzed. Multivariate logistic regression was applied to examine independent predictors of treatment failure, and a risk prediction score was established.
Results: Three hundred fourteen episodes experienced by 241 patients were included in the final analysis. Logistic regression analysis indicated that PD duration (OR 1.017; P 0.005), fibrinogen (OR 1.327; P 0.021), high-density lipoprotein (OR 0.443; P 0.032), fungal infection (OR 63.413; P 0.05) and discrimination (AUROC 0.80, P Conclusions: Fibrinogen, PD duration, fungal infection, hemodialysis history, concurrent intestinal obstruction, or diabetes mellitus were independent risk factors for a poor peritonitis outcome, while the high-density lipoprotein was a protective factor. This novel risk prediction score system may be used to predict a high risk of treatment failure effectively.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fmed.2021.639744.s001(source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Novel_Predictors_and_Risk_Score_of_Treatment_Failure_in_Peritoneal_Dialysis-Related_Peritonitis_DOCX/14315972)。
数据缺失?
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