Name: 透析时段与结局：血液透析患者上午、下午和夜间透析的死亡率和住院差异
Creator: Taylor & Francis
License: CC BY 4.0

基本信息

模态

表格

大小

0.000280163 GB

许可

CC BY 4.0

创建/更新时间

2026-05-21

版本

v1

资源简介

透析时段与结局：血液透析患者上午、下午和夜间透析的死亡率和住院差异

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集，收录 4 个文件、合计 280.16 KB，主题涵盖 Dialysis session timing、hemodialysis、mortality、hospitalization、circadian variation，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《Dialysis session timing and outcomes: mortality and hospitalization differences across morning, afternoon, and night shifts in hemodialysis patients》。配套论文《Dialysis session timing and outcomes: mortality and hospitalization differences across morning, afternoon, and night shifts in hemodialysis patients》发表于 Renal Failure（2025），DOI：10.1080/0886022X.2025.2568648。项目资助方：This work was supported by National Natural Science Foundation of China (82270719); Shanghai Natural Science Foundation of China (24ZR1411100); Shanghai Municipal Health Commission Clinical research project (20224Y0284); Shanghai Three-year Action Plan to Strengthen the Public Health System (GWVI-11.2-YQ10); Shanghai Municipal Key Clinical Specialty (SHSLCZDZK02501); Shanghai Federation of Nephrology Project (SHDC2202230), and Shanghai Key Laboratory of Kidney and blood Purification (20DZ2271600).。源站首次发布：2025-10-07。

【数据内容】

源站原始描述：The study aims to investigate the association between dialysis shift and all-cause death and hospitalization among patients on hemodialysis (HD). In this single-center retrospective analysis, we enrolled 395 patients on HD who received treatment at our center on June 1, 2022, with a 2-year follow-up period. Participants were grouped into three dialysis shifts: morning shift, afternoon shift, and night shift. The primary outcome was all-cause mortality. The secondary outcome was hospitalizations…

中文译文（机器翻译，仅供快速理解，请以原文为准）：本研究旨在探讨血液透析（

【数据结构与技术规格】

文件数 4 个，合计 280.16 KB。irnf_a_2568648_sm4884.jpeg：image/jpeg，211.90 KB。irnf_a_2568648_sm4883.docx：application/vnd.openxmlformats-officedocument.wordprocessingml.document，22.63 KB。irnf_a_2568648_sm4882.docx：application/vnd.openxmlformats-officedocument.wordprocessingml.document，23.21 KB。数据集 DOI：10.6084/m9.figshare.30293256.v1。

【主题与分类】

源站学科分类：Medicine、Molecular Biology、Neuroscience、Environmental Sciences not elsewhere classified、Immunology、Developmental Biology。主题标签：Dialysis session timing、hemodialysis、mortality、hospitalization、circadian variation。

【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://tandf.figshare.com/articles/dataset/Dialysis_session_timing_and_outcomes_mortality_and_hospitalization_differences_across_morning_afternoon_and_night_shifts_in_hemodialysis_patients/30293256

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

规范引用：Dialysis session timing and outcomes: mortality and hospitalization differences across morning, afternoon, and night shifts in hemodialysis patients. Taylor & Francis. Wu, Xindong; Zhang, Weidong; Jiao, Xiaoyan; Wang, Jialin; Liu, Zhonghua; Cao, Xuesen; et al

【使用注意】

· 源站最后修改于 2026-09-28，引用时请注意版本时效。

原始链接

https://tandf.figshare.com/articles/dataset/Dialysis_session_timing_and_outcomes_mortality_and_hospitalization_differences_across_morning_afternoon_and_night_shifts_in_hemodialysis_patients/30293256

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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：Dialysis session timing and outcomes: mortality and hospitalization differences across morning, afternoon, and night shifts in hemodialysis patients
DOI：10.6084/m9.figshare.30293256.v1
发布日期：2025-10-07
文件数：4 个
文件总体积：280.16 KB
源站页面：https://tandf.figshare.com/articles/dataset/Dialysis_session_timing_and_outcomes_mortality_and_hospitalization_differences_across_morning_afternoon_and_night_shifts_in_hemodialysis_patients/30293256

命令行下载

curl -L -o "irnf_a_2568648_sm4884.jpeg" "https://ndownloader.figshare.com/files/58531707"
curl -L -o "irnf_a_2568648_sm4883.docx" "https://ndownloader.figshare.com/files/58531710"
curl -L -o "irnf_a_2568648_sm4882.docx" "https://ndownloader.figshare.com/files/58531713"
curl -L -o "irnf_a_2568648_sm4881.docx" "https://ndownloader.figshare.com/files/58531716"

文件清单

irnf_a_2568648_sm4884.jpeg（211.90 KB）
irnf_a_2568648_sm4883.docx（22.63 KB）
irnf_a_2568648_sm4882.docx（23.21 KB）
irnf_a_2568648_sm4881.docx（22.42 KB）

文件总体积 280.16 KB（源站 API 实测）。

数据说明

The study aims to investigate the association between dialysis shift and all-cause death and hospitalization among patients on hemodialysis (HD). In this single-center retrospective analysis, we enrolled 395 patients on HD who received treatment at our center on June 1, 2022, with a 2-year follow-up period. Participants were grouped into three dialysis shifts: morning shift, afternoon shift, and night shift. The primary outcome was all-cause mortality. The secondary outcome was hospitalizations and the association between hospitalization and clinical parameters. A total of 395 patients were analyzed for all-cause mortality. Kaplan–Meier analysis revealed a significantly elevated mortality among afternoon-shift patients compared to other shift groups (p = 0.013). Multivariable Cox regression confirmed that afternoon-shift was independently associated with an increased risk of mortality (adjusted HR 1.697, 95% CI 1.028–2.804). During a follow-up of two years, the remaining 272 surviving patients were evaluated for hospitalization events. The total number of hospitalization events and hospitalization per person-year were significantly lower in the night-shift group compared to other shifts. Furthermore, this group demonstrated the lowest incidence of access-related/HD-related hospitalization. Subsequent analyses identified: (1) negative association between SpKt/V and non-access-related events; (2) negative association between serum calcium and all-cause hospitalization; (3) negative correlation between left ventricular ejection fraction and access-related/HD-related events. Dialysis shift is associated with all-cause mortality and hospitalizations among patients on HD. However, this relationship is not directly driven by the temporal effects of the shift but rather by the fact that individuals with similar clinical characteristics tend to choose the same shift, leading to shift-specific differences in health outcomes.