renal: Renal transplantation data

In joineRML: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes

Renal transplantation data

Description

This is a dataset on 407 patients suffering from chronic kidney disease who underwent a primary renal transplantation with a graft from a deceased or living donor in the University Hospital of the Catholic University of Leuven (Belgium) between 21 January 1983 and 16 August 2000. Chronic kidney (renal) disease is a progressive loss of renal function over a period of months or years through five stages. Each stage is a progression through an abnormally low and progressively worse glomerular filtration rate (GFR). The dataset records 3 repeated measures (2 continuous and 1 binary), and an event time.

Usage

data(renal)

Format

This is a list with 4 data frames:

1. prot: repeated measurement data for proteinuria (binary) that measures whether the kidneys succeed in sustaining the proteins in the blood and not discard them in the urine.

2. haem: repeated measurement data for blood haematocrit level (continuous) that measures whether the kidneys produce adequate amounts of the hormone erythropoietin that regulates the red blood cell production.

3. gfr: repeated measurement data for GFR (continuous) that measures the filtration rate of the kidneys.

4. surv: time-to-event data for renal graft failure.

All datasets have the common data columns, which are in long format for the 3 longitudinal data data frames, and 1-per-subject for the time-to-event data frame:

id

number for patient identification.

age

age of patient at day of surgery (years).

weight

preoperative weight of patient (kg).

sex

gender of patient.

fuyears

maximum follow up time, with transplant date as the time origin (years).

failure

censoring indicator (1=graft failure and 0=censored).

The longitudinal datasets only contain 2 further columns:

time

observed time point, with surgery date as the time origin (years).

biomarker value

a recorded measurement of the biomarker taken at time time. The 3 biomarkers (one per data frame) are:

• proteinuria: recorded as binary indicator: present or not-present. Present in the prot data.

• haematocrit: recorded as percentage (%) of the ratio of the volume of red blood cells to the total volume of blood. Present in the haem data.

• gfr: measured as ml/min/1.73m^2. Present in the gfr data.

Source

Dr Dimitris Rizopoulos ([e-mail]).

References

Rizopoulos D, Ghosh, P. A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time-to-event. Stat Med. 2011; 30(12): 1366-80.

See Also

pbc2, heart.valve, epileptic.qol.

joineRML documentation built on Jan. 22, 2023, 1:18 a.m.