Background
Renal transplantation is an increasingly successful therapy as judged
by progressive improvements in patient and graft survival for all types
of renal transplantation over the last 20 years.
Much useful data has come from long-term follow up of transplant
patients. Transplant registries, for example UNOS [1] in the
United States or ANZDATA [2] in Australasia, have provided invaluable
information on very large patient cohorts. The importance of
early graft function on patient survival has been established [3,4],
and death after graft loss has been associated with prolonged waiting
time on dialysis, diabetes mellitus and acute rejection [4].
The impact of post transplant diabetes[5] and obesity[6] is emerging,
as is the importance of addressing cardio-vascular risk factors amongst
renal transplant recipients[7].
However most other studies
have focussed on the transplant itself, collecting information
prospectively from the day of transplantation, focussing on
transplant-related parameters which influence graft survival.
Graft failure and death with a functioning graft are the usual end
points of analysis. Second and subsequent transplants are
usually regarded as separate episodes.
There are a number of limitations in this approach:
1. Registry datasets typically focus on numerical variables easily
retrieved from clinical records.
2. The crucial issue of the impact of unsuccessful transplantation on
long term outcome is poorly investigated since the patient who returns
to dialysis is in most circumstances not under continuing
assessment.
3. The continuing burden of co-morbidity before, during and after
transplantation is less well documented.
4. The complex interactions of multiple immunosuppressive agents and
other medications, particularly any influence on long term
co-morbidity, have not been well analysed. Impact of
immunosuppressive regimens has predominantly focussed on incidence of
acute rejection and graft survival. Analysis is often on an
‘intention to treat’ basis. Major comorbidities
which are of increasing concern include both cardiovascular disease and
opportunistic infection. The latter in particular may assume increasing
significance as the range and complexity of immunosuppressive regimens
increases with the goal of minimising early acute rejection.
5. Quality of life or quality of health outcomes analysis typically
identifies transplantation as superior to dialysis but studies with
power adequate to investigate the influence of a wide range of
co-morbidity and transplant-related variables are lacking.
Long-term follow-up of transplant recipients including those whose
graft fails is currently scarce.
The STEPP study is an ambitious study designed to collect as much data
as is possible in a retrospective study on treatment, events and
outcomes in a cohort of renal transplant recipients.
The study is only possible because of the generous funding from a
consortium of organisations and companies with an interest in Renal
Transplantation. It is therfore with thanks to Kidney
Research
UK, The Renal Association, The British Transplant Society, Roche
Pharmaceuticals, Astellas Pharmaceuticals and Wyeth Pharmaceuticals
that the study is possible.
Study Plan
The aim of the study is to collect as much biomedial data about patient
and transplant outcomes in all patients who had a first renal
transplant in any of the five participating centres between 01-01-1992,
and 31-12-2004. Patients less than 18 years old on the date
of
transplant, or who only attended the transplant centre for the first
time to be transplanted have been excluded.
Over the next two years data will be collected from the records of
patients in the five participating centres, and this will be entered
into their existing clinical computing systems. The data will
therefore be available for direct patient care, by integrating the
study data into existing data will allow the dataset to keep up-to-date
with changes in the patients record. An anonymous set of this
data will be collated, and used for the purpose of the study, but no
patient will be identifiable in the research database.
In parallel to this, patients who fullfill the inclusion criteria will
be approached to complete a series of questionnaires relating to their
quality of life and health, and a validated symptom measure.
Patients will be approached regardless of whether their first
renal transplant is still functioning, or whether they are back on
haemodialysis, peritoneal dialysis or re-transplanted. The
rational for this is that the study aim is to investigate the long-term
effects of renal transplantation, many of which will extend beyond the
renal transplant failing.
Towards the end of the next two years the study investigators will
begin to investigate both the biomedical factors which are associated
with long-term transplant outcome (be that patient or graft survival,
or developing specific complications). They will also
correlate
patient reported measures of life and health with some of these
important complications, and outcomes, and also their drug treatments.
References
1 The UNOS Scientific
Renal Transplant Registry (2000). Cecka JM. Clin
Transpl 2000:1-18. http://www.unos.org/
2 Report of the
ANZDATA Registry Chapter 8: transplantation. Russ GR (2002)
http://www.anzdata.org.au/
3 Effect of early
graft function on patient survival in renal transplantation.
Fernandez-Frsnedo G., Rodrigo, E., Escallada R. et al. Trans
Proc 35(5): 1653-4, 2003
4 Mortality risk
assessment after renal transplantation. Kaplan B.,
Meier-Kriesche HU. Clin Trans 131-6, 2002
5 Development of
diabetes mellitus post-renal transplantation is associated with poor
short-term clinical outcomes. Saleem TF. Cunningham KE. Hollenbeak CS.
Alfrey EJ. Gabbay RA. Transplantation Proceedings. 35(8):2916-8, 2003
Dec
6 The impact of body
mass index on renal transplant outcomes: a significant independent risk
factor for graft failure and patient death. Meier-Kriesche
HU, Arndorfer JA, Kaplan B. Transplantation 2002;73(1):70-74
7 Effect of
fluvastatin on cardiac outcomes in renal transplant recipients: a
multicentre, randomised, placebo-controlled trial. ALERT
Study Investigators. Lancet. 361(9374):2024-31, 2003 Jun 14.
Last modified: Sun Jan 20 2008





