Background: Predonation kidney function may be an important factor affecting graft outcome. Increased baseline allograft function may be more effective than strategies to slow the decline in glomerular filtration rate (GFR). However, the role of donor effective renal plasma flow (ERPF) on long-term outcome is less well understood. The purpose of this study was to examine the relationship between preoperative allograft function as measured by ERPF and the decline of allograft function as defined by the annualized change in GFR among living-donor kidney transplant recipients. Methods: We performed a retrospective analysis of 83 patients who underwent living donor renal transplantation at our institution from March 2001 to October 2010. A time series analysis of autoregressive integrated moving average (ARIMA) model was applied to determine the annualized change in GFR after transplantation. Univariate and stepwise multivariate analyses were performed using linear regression between preoperative ERPF and annualized change in GFR after transplantation. We also investigated the influence on annualized change in GFR of other donor or recipient variables. Results: The ARIMA model revealed that the annualized change in GFR was -1.344 ± 12.476 mL/min/1.73 m 2 per year. Pearson correlation coefficient for the association between predonation ERPF of the transplanted kidney and the annualized change in GFR was 0.033 (P =.777). Conclusions: Poor predonation kidney function was not associated with an increased rate of decline of allograft function. Neither donor age nor renal function (preoperative ERPF value) was a valid predictor of change in GFR among living-donor kidney transplant recipients.
|Number of pages||6|
|Publication status||Published - Jan 2012|
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