AI Article Synopsis

  • The Kidney Donor Profile Index (KDPI) and Kidney Donor Risk Index (KDRI) help in deciding whether to accept or discard donor kidneys, but their effectiveness and applicability are still debated.
  • A new programming algorithm in R language allows for the calculation of KDPI and KDRI for both individual donors and large datasets, unlike the current option on the OPTN website.
  • This open-source R code will save researchers time and assist in understanding the impact of KDPI/KDRI across different populations worldwide.

Article Abstract

Background: 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.

Summary: 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.

Key Messages: 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276747PMC
http://dx.doi.org/10.1159/000492427DOI Listing

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