MRsurv (version 0.2)

STR.data: These data were extracted from the DIVAT data bank for second kidney transplant recipients.

Description

Data were extracted from the DIVAT cohort. It corresponds to the relative sample constituted by second transplant recipients (STR).

Usage

data(FTR.data)

Format

A data frame with the 6 following variables.

Tps.Evt

This numeric vector provides the post transplantation time (in days).

Evt

This vector provides the indicators of graft failure at the end of the follow-up (1 for failures and 0 for right censoring).

ageR2cl

This numeric vector provides the recipient age at transplantation (1 for older than 55 years and 0 otherwise).

sexeR

This numeric vector provides the recipient gender (1 for men and 0 for women).

ageD2cl

This numeric vector provides the donor age (1 for older than 55 years and 0 otherwise).

Tattente2cl

This numeric vector provides the waiting time in dialysis between the two consecutive transplantations (1 for more than 3 years and 0 otherwise).

Details

Second transplant recipients (STR) constituted the relative group of interest. Recipients older than 18 years at the date of transplantation between 1996 and 2010 were selected from the French DIVAT (www.divat.fr/en) multicentric prospective cohort. Only recipients with a maintenance therapy with calcineurin inhibitors, mammalian target of rapamycin inhibitors or belatacept, in addition to mycophenolic acid and steroid were included. Simultaneous transplantations were excluded. Two explicative variables are common with the reference group: recipient age at transplantation and recipient gender. Two explicative variables are specific to STR: donor age and waiting time in dialysis between the two consecutive transplantations.

References

K. Trebern-Launay, M. Giral, J. Dantal and Y. Foucher. Comparison of the risk factors effects between two populations: two alternative approaches illustrated by the analysis of first and second kidney transplant recipients. BMC Med Res Methodol. 2013 Aug 6;13:102.

Examples

data(STR.data)

# The number of patients in the relative group.
dim(STR.data)

# Compute a Cox PH model
cox.STR<-coxph(Surv(Tps.Evt/365.24, Evt) ~ ageR2cl + Tattente2cl, data=STR.data)
summary(cox.STR)