Late Conversion of Kidney Transplant Recipients from Ciclosporin to Tacrolimus Improves Graft Function: Results from a Randomized Controlled Trial

Max Plischke, Markus Riegersperger, Daniela Dunkler, Georg Heinze, Željko Kikić, Wolfgang C Winkelmayer, Gere Sunder-Plassmann, Max Plischke, Markus Riegersperger, Daniela Dunkler, Georg Heinze, Željko Kikić, Wolfgang C Winkelmayer, Gere Sunder-Plassmann

Abstract

Background: Tacrolimus (TAC) to ciclosporin A (CSA) conversion studies in stable kidney transplant recipients have reported varying effects on graft function. Here we study graft function (eGFR) trajectories using linear mixed models, which provide effect estimates on both slope and baseline level of GFR and offer increased statistical power.

Methods: Secondary analysis of a randomized controlled trial of CSA treated kidney transplant recipients with stable graft function assigned to receive 0.1 mg/kg/day TAC (target 5-8 ng/ml) or to continue CSA based immunosuppression (target 70-150 ng/ml) at a 2:1 ratio. Renal graft function was estimated via the MDRD (eGFRMDRD) and CKD-EPI (eGFRCKD-EPI) formulas.

Results: Forty-five patients continued CSA and 96 patients were converted to TAC with a median follow up of 24 months. Baseline demographics (except for recipient age) including native kidney disease, transplant characteristics, kidney graft function, medication use and comorbid conditions did not differ between groups. In respect to long-term renal graft function, linear mixed models showed significantly improved eGFR trajectories (eGFRMDRD: p<0.001, eGFRCKD-EPI: p<0.001) in the TAC versus CSA group over 24 months of follow up. Estimated eGFRCKD-EPI group differences between TAC and CSA were -3.49 (p = 0.019) at 3 months, -5.50 (p<0.001) at 12 months, and -4.48 ml/min/1.73m2 (p = 0.003) at 24 months of follow up. Baseline eGFR was a significant predictor of eGFR trajectories (eGFRMDRD: p<0.001, eGFRCKD-EPI: p<0.001). Significant effects for randomization group were evident despite short-term trough levels in the supratherapeutic range (27% (n = 26) of TAC patients at week one). Median TAC trough levels were within target range at week 4 after conversion.

Conclusion: Conversion of CSA treated kidney transplant recipients with stable graft function to TAC (target 5-8 ng/ml) showed significantly improved long-term eGFR trajectories when compared to CSA maintenance (target 70-150 ng/ml).

Trial registration: ClinicalTrials.gov NCT00182559 EudraCT identifier: 2004-004209-98.

Conflict of interest statement

Competing Interests: GSP received speaker fees from Astellas, Novartis, and Roche. GSP also received an unrestricted grant from Fujisawa/Astellas in support of this study. WCW served as external randomization officer to the trial investigators at the Medical University of Vienna in 2005 and 2006 and received honoraria directly from Fujisawa/Astellas for that activity and has served as a scientific advisor to Amgen, Affymax, and Fibrogen or their respective contractors in the past year. MR has received research and travel funds from Astellas. Fujisawa/Astellas issued an unrestricted grant to GSP in support of this study. The results presented in this paper have not been published previously in whole or part, except in abstract format. This does not alter the authors' adherence to PLOS ONE policies on sharing data and materials.

Figures

Fig 1. Consort flow diagram.
Fig 1. Consort flow diagram.
Fig 2. TAC group eGFR and trough…
Fig 2. TAC group eGFR and trough level fluctuations.
Mean eGFRCKD-EPI (solid line) and trough levels (dashed line) for the TAC study group at baseline, weeks 1, 2, 4, 8, and 3, 12 and 24 months after conversion.
Fig 3. CSA and TAC group eGFR…
Fig 3. CSA and TAC group eGFR courses compared.
Mean eGFRCKD-EPI for the CSA (solid black line) and TAC study group (solid grey line) at baseline, 3, 12 and 24 months after conversion. Ciclosporin trough levels (dashed line) at the same timepoints.
Fig 4. TAC trough level distributions at…
Fig 4. TAC trough level distributions at different follow-up timepoints.
Tacrolimus trough level distributions at 1, 2 and 4 weeks, as well as, 24 months after conversion shown as density plots.

References

    1. Ekberg H, Tedesco-Silva H, Demirbas A, Vitko S, Nashan B, Gurkan A, et al. Reduced exposure to calcineurin inhibitors in renal transplantation. N Engl J Med [Internet]. 2007/12/21 ed. 2007;357(25):2562–75. Available from:
    1. Webster AC, Woodroffe RC, Taylor RS, Chapman JR, Craig JC. Tacrolimus versus ciclosporin as primary immunosuppression for kidney transplant recipients: meta-analysis and meta-regression of randomised trial data. BMJ [Internet]. 2005/09/15 ed. 2005. October 8 [cited 2014 Jan 28];331(7520):810 Available from:
    1. Artz MA, Boots JM, Ligtenberg G, Roodnat JI, Christiaans MH, Vos PF, et al. Conversion from cyclosporine to tacrolimus improves quality-of-life indices, renal graft function and cardiovascular risk profile. Am J Transpl [Internet]. 2004/05/19 ed. 2004;4(6):937–45. Available from:
    1. Bolin P, Shihab FS, Mulloy L, Henning AK, Gao J, Bartucci M, et al. Optimizing tacrolimus therapy in the maintenance of renal allografts: 12-month results. Transplantation [Internet]. 2008. July 15 [cited 2014 Jan 28];86(1):88–95. Available from: 10.1097/TP.0b013e31817442cf
    1. Meier M, Nitschke M, Weidtmann B, Jabs WJ, Wong W, Suefke S, et al. Slowing the progression of chronic allograft nephropathy by conversion from cyclosporine to tacrolimus: a randomized controlled trial. Transplantation [Internet]. 2006/04/14 ed. 2006;81(7):1035–40. Available from:
    1. Stoves J, Newstead CG, Baczkowski AJ, Owens G, Paraoan M, Hammad AQ. A randomized controlled trial of immunosuppression conversion for the treatment of chronic allograft nephropathy. Nephrol Dial Transpl [Internet]. 2004/05/27 ed. 2004;19(8):2113–20. Available from:
    1. Shihab FS, Waid TH, Conti DJ, Yang H, Holman MJ, Mulloy LC, et al. Conversion from cyclosporine to tacrolimus in patients at risk for chronic renal allograft failure: 60-month results of the CRAF Study. Transplantation [Internet]. 2008. May 15 [cited 2014 Jan 24];85(9):1261–9. Available from: 10.1097/TP.0b013e31816b4388
    1. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med [Internet]. 1999/03/13 ed. 1999;130(6):461–70. Available from:
    1. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med [Internet]. 2009/05/06 ed. 2009;150(9):604–12. Available from:
    1. Abramowicz D, Del Carmen Rial M, Vitko S, del Castillo D, Manas D, Lao M, et al. Cyclosporine withdrawal from a mycophenolate mofetil-containing immunosuppressive regimen: results of a five-year, prospective, randomized study. J Am Soc Nephrol [Internet]. 2005. July [cited 2014 Feb 4];16(7):2234–40. Available from:
    1. Nankivell BJ, Kuypers DRJ. Diagnosis and prevention of chronic kidney allograft loss. Lancet [Internet]. Elsevier Ltd; 2011. October 15 [cited 2014 Feb 2];378(9800):1428–37. Available from: 10.1016/S0140-6736(11)60699-5
    1. Riegersperger M, Plischke M, Steiner S, Seidinger D, Sengoelge G, Winkelmayer WC, et al. Effect of conversion from ciclosporin to tacrolimus on endothelial progenitor cells in stable long-term kidney transplant recipients. Transplantation [Internet]. 2013. June 15 [cited 2013 Dec 11];95(11):1338–45. Available from: 10.1097/TP.0b013e31828fabb3
    1. Leffondre K, Boucquemont J, Tripepi G, Stel VS, Heinze G, Dunkler D. Analysis of risk factors associated with renal function trajectory over time: a comparison of different statistical approaches. Nephrol Dial Transplant [Internet]. 2014. October 17 [cited 2015 Jan 2];1–7. Available from:
    1. Van Gelder T, Klupp J, Barten MJ, Christians U, Morris RE. Comparison of the effects of tacrolimus and cyclosporine on the pharmacokinetics of mycophenolic acid. Ther Drug Monit [Internet]. 2001. April [cited 2015 Mar 16];23(2):119–28. Available from:
    1. Levey AS, Greene T, Kusek JW, Beck GJ, Group MS. A simplified equation to predict glomerular filtration rate from serum creatinine. J Am Soc Nephrol. 2000;11(9):155A.
    1. Levey AS, Coresh J, Greene T, Marsh J, Stevens LA, Kusek JW, et al. Expressing the Modification of Diet in Renal Disease Study equation for estimating glomerular filtration rate with standardized serum creatinine values. Clin Chem [Internet]. 2007/03/03 ed. 2007;53(4):766–72. Available from:
    1. Matsushita K, Mahmoodi BK, Woodward M, Emberson JR, Jafar TH, Jee SH, et al. Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate. JAMA [Internet]. 2012/05/10 ed. 2012;307(18):1941–51. Available from: 10.1001/jama.2012.3954
    1. Skali H, Uno H, Levey AS, Inker LA, Pfeffer MA, Solomon SD. Prognostic assessment of estimated glomerular filtration rate by the new Chronic Kidney Disease Epidemiology Collaboration equation in comparison with the Modification of Diet in Renal Disease Study equation. Am Hear J [Internet]. 2011/09/03 ed. 2011;162(3):548–54. Available from:
    1. R Core Team. R: A Language and Environment for Statistical Computing [Internet]. Vienna, Austria; 2014. Available from:
    1. SAS Institute Inc. SAS/STAT Software, Version 9.3 [Internet]. Cary, NC; 2010. Available from:
    1. Cirillo M. Evaluation of glomerular filtration rate and of albuminuria/proteinuria. J Nephrol [Internet]. 2010/03/10 ed. 2010;23(2):125–32. Available from:
    1. Naesens M, Kuypers DRJ, Sarwal M. Calcineurin inhibitor nephrotoxicity. Clin J Am Soc Nephrol [Internet]. 2009. February [cited 2014 Jan 21];4(2):481–508. Available from: 10.2215/CJN.04800908
    1. Hueso M, Bover J, Serón D, Gil-Vernet S, Sabaté I, Fulladosa X, et al. Low-dose cyclosporine and mycophenolate mofetil in renal allograft recipients with suboptimal renal function. Transplantation [Internet]. 1998. December 27 [cited 2014 Feb 4];66(12):1727–31. Available from:

Source: PubMed

3
Abonnieren