Post-transplant diabetes affects 15 to 20% of renal transplant patients and contributes to increased morbidity and reduced survival of transplants and patients. Corticosteroids, anti-calcineurin and mammilian Target OF Rapamycin (mTOR) inhibitors have a major diabetogenic impact and greatly contribute to the increase in diabetes prevalence after transplantation. There are to date few studies concerning the pharmacological prevention of post-transplant diabetes. Hecking et al. have recently reported that a short treatment with insulin, administered immediately after transplantation, reduce the incidence of de novo diabetes one-year post-transplant. This study included 50 renal transplant patients and showed that a three months treatment of (Neutral Protamine Hagedorn) NPH insulin decreased HbA1c. The occurrence of diabetes, a secondary end-point, was reduced by 73% in the treated group. No further pharmacological strategy has been developed to date. Relevant experimental evidences suggest that gliptins could be used in the pharmacological prevention of post-transplant diabetes. These drugs are inhibitors of dipeptidyl peptidase-4 (DPP-4), which inactivates the incretins, the glucagon-like peptide-1 (GLP-1) and the gastric inhibitory polypeptide (GIP). DPP-4 inhibition causes an increase in the GLP-1 and GIP concentrations which induce insulin secretion and inhibition of glucagon secretion. The gliptins are approved for the treatment of type 2 diabetes. Beyond the effects on blood glucose, gliptins have pleiotropic effects including a protective effect on β cells and anti-inflammatory effect. The additional cost associated with new-onset diabetes after transplantation could be also significantly reduced by efficient prevention. A US study found that, for the period between 1994 and 1998, a newly diagnosed diabetic patient has cost $21,500 of medical expenses 2 years after transplantation. Moreover, transplantation resulting in one of the best increases of patients' quality of life, its estimate is essential in the treatment evaluation of this population.
Age range
18 Years – 90 Years
Sex
ALL
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Diabetes event
Timeframe: 1 year