4.7 Article

A clinical scoring system highly predictive of long-term kidney graft survival

期刊

KIDNEY INTERNATIONAL
卷 78, 期 12, 页码 1288-1294

出版社

ELSEVIER SCIENCE INC
DOI: 10.1038/ki.2010.232

关键词

graft survival; prediction models; surrogate end points; transplantation

资金

  1. RTRS
  2. Fondation de Cooperation Scientifique 'CENTAURE'
  3. Roche Laboratory
  4. RTRS 'CENTAURE'

向作者/读者索取更多资源

Determining early surrogate markers of long-term graft outcome is important for optimal medical management. In order to identify such markers, we used clinical information from a cross-validated French database (Donnees Informatisees et VAlidees en Transplantation) of 2169 kidney transplant recipients to construct a composite score 1 year after transplantation. This Kidney Transplant Failure Score took into account a series of eight accepted pre- and post-transplant risk factors of graft loss, and was subsequently evaluated for its ability to predict graft failure at 8 years. This algorithm outperformed the traditional surrogates of serum creatinine and the estimated graft filtration rate, with an area under the receiver-operator characteristic curve of 0.78. Validation on an independent database of 317 graft recipients had the same predictive capacity. Our algorithm was also able to stratify patients into two groups according to their risk: a high-risk group of 81 patients with 25% graft failure and a low-risk group of 236 patients with an 8% failure rate. Thus, although this clinical composite score predicts long-term graft survival, it needs validation in different patient groups throughout the world. Kidney International (2010) 78, 1288-1294; doi:10.1038/ki.2010.232; published online 22 September 2010

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据