Department of Biostatistics, University of Michigan, Ann Arbor, MI.
Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, MI.
Transplantation. 2019 Aug;103(8):1714-1721. doi: 10.1097/TP.0000000000002498.
The Kidney Donor Risk Index (KDRI) is a score applicable to deceased kidney donors which reflects relative graft failure risk associated with deceased donor characteristics. The KDRI is widely used in kidney transplant outcomes research. Moreover, an abbreviated version of KDRI is the basis, for allocation purposes, of the "top 20%" designation for deceased donor kidneys. Data upon which the KDRI model was based used kidney transplants performed between 1995 and 2005. Our purpose in this report was to evaluate the need to update the coefficients in the KDRI formula, with the objective of either (a) proposing new coefficients or (b) endorsing continued used of the existing formula.
Using data obtained from the Scientific Registry of Transplant Recipients, we analyzed n = 156069 deceased donor adult kidney transplants occurring from 2000 to 2016. Cox regression was used to model the risk of graft failure. We then tested for differences between the original and updated regression coefficients and compared the performance of the original and updated KDRI formulas with respect to discrimination and predictive accuracy.
In testing for equality between the original and updated KDRIs, few coefficients were significantly different. Moreover, the original and updated KDRI yielded very similar risk discrimination and predictive accuracy.
Overall, our results indicate that the original KDRI is robust and is not meaningfully improved by an update derived through modeling analogous to that originally employed.
肾移植供体风险指数(KDRI)是一种适用于已故肾供体的评分,反映了与已故供体特征相关的相对移植物失败风险。KDRI 广泛应用于肾移植结局研究。此外,KDRI 的一个简化版本是已故供体肾脏“前 20%”分配目的的基础。KDRI 模型所依据的数据使用了 1995 年至 2005 年期间进行的肾移植。我们在本报告中的目的是评估是否需要更新 KDRI 公式中的系数,目的是(a)提出新的系数,或(b)赞成继续使用现有公式。
我们使用从移植受者科学注册处获得的数据,分析了 2000 年至 2016 年期间发生的 156069 例已故成年肾移植供体的数据。Cox 回归用于对移植物失败风险进行建模。然后,我们测试了原始和更新的回归系数之间的差异,并比较了原始和更新的 KDRI 公式在区分度和预测准确性方面的表现。
在测试原始和更新的 KDRIs 之间的相等性时,很少有系数有显著差异。此外,原始和更新的 KDRI 产生了非常相似的风险区分度和预测准确性。
总体而言,我们的结果表明,原始的 KDRI 是稳健的,并且通过类似于最初使用的建模方法得出的更新并没有显著改进。