Additional file 1: of Design and rationale of the ATHENA study – A 12-month, multicentre, prospective study evaluating the outcomes of a de novo everolimus-based regimen in combination with reduced cyclosporine or tacrolimus versus a standard regimen in kidney transplant patients: study protocol for a randomised controlled trial

List of ethics committees. (PDF 184 kb

Univariable analysis for event-free survival assessing different risk stratification scores.

<p>Univariable analysis for event-free survival assessing different risk stratification scores.</p

Multivariable analysis for event-free survival.

<p>Multivariable analysis for event-free survival.</p

Univariable analysis for event-free survival assessing potential risk factors.

<p>Univariable analysis for event-free survival assessing potential risk factors.</p

A Comparison of Different Algorithms for the Assessment of Cardiovascular Risk in Patients at Waiting List for Kidney Transplantation

<div><p>Background</p><p>Cardiovascular disease (CVD) is the leading cause of death after renal transplantation with a high prevalence in dialysis patients. It is still a matter of debate how to assess the cardiovascular risk in kidney transplant candidates. Several approaches and scores exist and found their way into the guidelines.</p><p>Methods and Results</p><p>We herein assessed PROCAM, Framingham, ESC-SCORE and our own dedicated algorithm in patients applying for renal transplantation at our transplantation center between July 2006 and August 2009. Data of 347 consecutive patients were recorded at baseline and during a follow-up of 4.1 years regarding cardiovascular (CV) events and event-free and overall survival. During follow-up 31 (8.9%) patients died, 24 (6.9%) myocardial infarctions occurred and 19 (5.5%) patients received a new diagnosis of cerebrovascular disease. Predictors for event-free survival identified by univariable Cox regression analysis were age at start of dialysis, ESC-SCORE as well as our own score. Final multivariable model with a stepwise model building procedure revealed age at start of dialysis and smoking to be prognostic for event-free (hazard ratio 1.07/year and 2.15) and overall survival (1.10/year and 3.72).</p><p>Conclusion</p><p>Comparison of CV risk assessment scores showed that ESC-SCORE most robustly predicted event-free and overall survival in our cohort. We conclude that CV risk assessment by ESC-SCORE can be reasonably performed in kidney transplant candidates.</p></div

Complications.

<p>Chi²-test; DGF, delayed graft function; CMV, cytomegalovirus</p><p>Complications.</p

Multivariable analysis for overall survival.

<p>Multivariable analysis for overall survival.</p

Patients`Demographic Characteristics (n = 347).

<p>Patients`Demographic Characteristics (n = 347).</p

Events during follow-up.

<p>Events during follow-up.</p

Frequency of surgical complications in weekday and weekend kidney transplant recipients.

<p>Frequency of surgical complications in weekday and weekend kidney transplant recipients.</p