Bikbov Boris
Academician V.I.Shumakov Federal Research Center of Transplantology and Artificial Organs, Moscow, Russian Federation.
Kidney Dis (Basel). 2018 Nov;4(4):269-272. doi: 10.1159/000492427. Epub 2018 Sep 5.
The Kidney Donor Profile Index (KDPI) and Kidney Donor Risk Index (KDRI) were developed by the United States Organ Procurement and Transplantation Network (OPTN). They may influence the clinical decision whether to accept or discard a donor kidney, but still there are debates about KDPI/KDRI applicability and its consequences. To further evaluate these indexes in different populations, more data should be analyzed, and a universally applicable program code would facilitate it. Currently, KDPI/KDRI calculation could be readily done only on the OPTN website that is convenient for a single donor, but not suitable for processing data sets with many records.
A universally applicable program algorithm in widely used R language for calculating KDPI and KDRI was developed according to donor factors and coefficients described in the OPTN guide.
The open R code permits to calculate KDPI/KDRI either for a single donor or for an unlimited number of records in large data sets. The presented software code would save substantial time to research groups all over the world and help to clarify the KDPI/KDRI role in global settings.
肾脏捐献者特征指数(KDPI)和肾脏捐献者风险指数(KDRI)由美国器官获取与移植网络(OPTN)制定。它们可能会影响接受或舍弃供肾的临床决策,但关于KDPI/KDRI的适用性及其后果仍存在争议。为了在不同人群中进一步评估这些指数,需要分析更多数据,而一个通用的程序代码将有助于实现这一点。目前,KDPI/KDRI的计算只能在OPTN网站上轻松完成,这对于单个捐献者来说很方便,但不适用于处理有许多记录的数据集。
根据OPTN指南中描述的捐献者因素和系数,开发了一种在广泛使用的R语言中用于计算KDPI和KDRI的通用程序算法。
开放的R代码允许为单个捐献者或大数据集中的无限数量记录计算KDPI/KDRI。所展示的软件代码将为世界各地的研究团队节省大量时间,并有助于阐明KDPI/KDRI在全球范围内的作用。