不同年龄和共病患者死亡供体肾移植与透析的比较生存和经济效益
通过马尔可夫模型分析不同年龄和共病患者的肾移植与透析的生存获益和成本效果,支持医疗资源分配决策。

基本信息
资源简介
不同年龄和共病患者死亡供体肾移植与透析的比较生存和经济效益
【数据集背景】
本数据集源站标题为《Comparative Survival and Economic Benefits of Deceased Donor Kidney Transplantation and Dialysis in People with Varying Ages and Co-Morbidities》。配套论文《Comparative Survival and Economic Benefits of Deceased Donor Kidney Transplantation and Dialysis in People with Varying Ages and Co-Morbidities》发表于 PLoS ONE(2012),DOI:10.1371/journal.pone.0029591。源站首次发布:2012-01-18。
【数据内容】
源站原始描述:Background Deceased donor kidneys for transplantation are in most countries allocated preferentially to recipients who have limited co-morbidities. Little is known about the incremental health and economic gain from transplanting those with co-morbidities compared to remaining on dialysis. The aim of our study is to estimate the average and incremental survival benefits and health care costs of listing and transplantation compared to dialysis among individuals with varying co-morbidities. Method…
【数据结构与技术规格】
文件数 2 个,合计 49.67 KB。Appendix_S1.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,21.45 KB。Appendix_S2.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,28.22 KB。数据集 DOI:10.1371/journal.pone.0029591。
【主题与分类】
源站学科分类:Medicine、Science Policy、Marine Biology、Mathematics、Biotechnology、Immunology。主题标签:comparative、benefits、deceased、kidney、transplantation、dialysis、varying、ages、co-morbidities。
【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/Comparative_Survival_and_Economic_Benefits_of_Deceased_Donor_Kidney_Transplantation_and_Dialysis_in_People_with_Varying_Ages_and_Co_Morbidities/129530
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Wong, Germaine; Howard, Kirsten; R. Chapman, Jeremy; Chadban, Steven; Cross, Nicholas; Tong, Allison; et al. (2016). Comparative Survival and Economic Benefits of Deceased Donor Kidney Transplantation and Dialysis in People with Varying Ages and Co-Morbidities. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-05-31,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。
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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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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:Comparative Survival and Economic Benefits of Deceased Donor Kidney Transplantation and Dialysis in People with Varying Ages and Co-Morbidities
- DOI:10.1371/journal.pone.0029591
- 发布日期:2012-01-18
- 文件数:2 个
- 文件总体积:49.67 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Comparative_Survival_and_Economic_Benefits_of_Deceased_Donor_Kidney_Transplantation_and_Dialysis_in_People_with_Varying_Ages_and_Co_Morbidities/129530
命令行下载
curl -L -o "Appendix_S1.docx" "https://ndownloader.figshare.com/files/351808"
curl -L -o "Appendix_S2.docx" "https://ndownloader.figshare.com/files/351886"
文件清单
Appendix_S1.docx(21.45 KB)Appendix_S2.docx(28.22 KB)
文件总体积 49.67 KB(源站 API 实测)。
数据说明
Background
Deceased donor kidneys for transplantation are in most countries allocated preferentially to recipients who have limited co-morbidities. Little is known about the incremental health and economic gain from transplanting those with co-morbidities compared to remaining on dialysis. The aim of our study is to estimate the average and incremental survival benefits and health care costs of listing and transplantation compared to dialysis among individuals with varying co-morbidities.
Methods
A probabilistic Markov model was constructed, using current outcomes for patients with defined co-morbidities treated with either dialysis or transplantation, to compare the health and economic benefits of listing and transplantation with dialysis.
Findings
Using the current waiting time for deceased donor transplantation, transplanting a potential recipient, with or without co-morbidities achieves survival gains of between 6 months and more than three life years compared to remaining on dialysis, with an average incremental cost-effectiveness ratio (ICER) of less than $50,000/LYS, even among those with advanced age. Age at listing and the waiting time for transplantation are the most influential variables within the model. If there were an unlimited supply of organs and no waiting time, transplanting the younger and healthier individuals saves the most number of life years and is cost-saving, whereas transplanting the middle-age to older patients still achieves substantial incremental gains in life expectancy compared to being on dialysis.
Conclusions
Our modelled analyses suggest transplanting the younger and healthier individuals with end-stage kidney disease maximises survival gains and saves money. Listing and transplanting those with considerable co-morbidities is also cost-effective and achieves substantial survival gains compared with the dialysis alternative. Preferentially excluding the older and sicker individuals cannot be justified on utilitarian grounds.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0029591(source: https://plos.figshare.com/articles/dataset/Comparative_Survival_and_Economic_Benefits_of_Deceased_Donor_Kidney_Transplantation_and_Dialysis_in_People_with_Varying_Ages_and_Co_Morbidities/129530)。
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