A data frame with 2169 French kidney transplant recipients. The time-to-event is the time between the transplantation and the return in dialysis. This time can be right-censored, especially at the time of the patient death with a functioning graft. The KTFS is a score proposed by Foucher et al. (2010) to stratify the recipients according to their risk of return in dialysis.
A data frame with 2169 observations (raws) with the 3 following variables (columns).
This numeric vector represents the follow up time in years (until return in dialyis or censoring)
This numeric vector represents the graft failure indicator at the follow-up end (1=return, 0=censoring)
This numeric vector represents the KTFS values.
The immunology and nephrology department of the Nantes University hospital constituted a data bank with the monitoring of medical records for kidney and/or pancreas transplant recipients. The associated software is called DIVAT. Here is the training sample of 2169 patients used for the construction of the KTFS, a scoring system proposed by Foucher et al. (2010) in order to stratify patients according to their risk of return in dialysis. The KTFS is based on 8 parameters collected during the first year post transplantation. Patients with a KTFS value higher than 4.17 were considered at high-risk.
Foucher Y. al. (2010) A clinical scoring system highly predictive of long-term kidney graft survival. Kidney International, 78, 1288-94. <doi:10.1038/ki.2010.232>
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data(dataKTFS) ### a short summary of the recipient age at the transplantation summary(dataKTFS$score) ### Kaplan and Meier estimation of the recipient survival plot(survfit(Surv(time, failure) ~ I(score>4.17), data = dataKTFS), xlab="Post transplantation time (in years)", ylab="Patient survival", mark.time=FALSE, col=c(2,1), lty=c(2,1)) legend("bottomleft", c("Recipients in the high-risk group", "Recipients in the low-risk group"), col=1:2, lty=1:2)
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