The failing kidney allograft: A review and recommendations for the care and management of a complex group of patients.
Michelle LubetzkyEkamol TantisattamoMiklos Z MolnarKrista L LentineArpita BasuRonald F ParsonsKenneth J WoodsideMartha PavlakisChristopher D BlosserNeeraj SinghBeatrice P ConcepcionDeborah AdeyGaurav GuptaArman FaravardehEdward KrausSong C OngLeonardo V RiellaJohn J FriedewaldAlexander C WisemanAmtul AalaDarshana M DadhaniaTarek AlhamadPublished in: American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons (2021)
The return to dialysis after allograft failure is associated with increased morbidity and mortality. This transition is made more complex by the rising numbers of patients who seek repeat transplantation and therefore may have indications for remaining on low levels of immunosuppression, despite the potential increased morbidity. Management strategies vary across providers, driven by limited data on how to transition off immunosuppression as the allograft fails and a paucity of randomized controlled trials to support one approach over another. In this review, we summarize the current data available for management and care of the failing allograft. Additionally, we discuss a suggested plan for immunosuppression weaning based upon the availability of re-transplantation and residual allograft function. We propose a shared-care model in which there is improved coordination between transplant providers and general nephrologists so that immunosuppression management and preparation for renal replacement therapy and/or repeat transplantation can be conducted with the goal of improved outcomes and decreased morbidity in this vulnerable patient group.
Keyphrases
- healthcare
- end stage renal disease
- palliative care
- kidney transplantation
- chronic kidney disease
- quality improvement
- acute kidney injury
- pain management
- newly diagnosed
- cell therapy
- type diabetes
- peritoneal dialysis
- bone marrow
- stem cells
- risk assessment
- intensive care unit
- metabolic syndrome
- machine learning
- case report
- prognostic factors
- skeletal muscle
- adipose tissue
- human health