Improved outcome after 'bottom-up' immunosuppression in liver transplant recipients with preoperative renal

Andreas A Schnitzbauer1, Axel Doenecke, Johannes L Sothmann

  • 1Kliniken und Polikliniken für Chirurgie, Universitätsklinikum Regensburg, Regensburg, Germany. schnitzbauer @ klinik.uni-r.de

Abstract

Insights

The "bottom-up" immunosuppression strategy in liver transplant patients with kidney dysfunction significantly reduced the need for renal replacement therapy and improved renal function compared to standard immunosuppression.

Area of Science:

  • Nephrology
  • Transplantation Medicine
  • Immunology

Background:

  • Patients with high Model for End-Stage Liver Disease (MELD) scores often present with impaired renal function before liver transplantation.
  • Pre-existing renal dysfunction complicates post-transplant management and outcomes.

Purpose of the Study:

  • To evaluate the efficacy of a 'bottom-up' immunosuppression protocol in liver transplant recipients with pre-existing renal dysfunction.
  • To compare renal function and outcomes between 'bottom-up' and standard immunosuppression strategies.

Main Methods:

  • A retrospective case-control study included 30 liver transplant recipients with impaired renal function.
  • Group A (n=15) received de novo cyclosporine A (CsA).
  • Group B (n=15) received 'bottom-up' immunosuppression, with initial low doses increased based on rejection or stability.

Main Results:

  • Group B showed a significantly lower requirement for renal replacement therapy (p = 0.032).
  • Serum creatinine levels were significantly better in Group B at 6 and 12 months post-transplant (p = 0.006).
  • Overall complication rates, survival, and acute rejection were similar, though Banff scores were higher in Group B (p = 0.004).

Conclusions:

  • The 'bottom-up' immunosuppression approach is feasible and beneficial for liver transplant recipients with renal dysfunction.
  • This strategy may significantly improve both short- and long-term renal outcomes in this patient population.

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