BACKGROUND: Living kidney donation is increasing as a partial solution for wait-listed patients. Despite properly followed guideline criteria for donor selection, current reports identify unsuspected renal pathology at preimplantation or time-zero biopsy (T0-RBx). METHODS: T0-RBx was evaluated for following: interstitial fibrosis (IF), tubular atrophy (TA), arteriolar hyalinosis (AH), mesangial increase (MI), and glomerulosclerosis (GS). Predonation data were demography, body weight, body mass index (BMI), systolic/diastolic blood pressure (BP), serum creatinine (SCr), estimated glomerular filtration rate (eGFR), and proteinuria. RESULTS: Two hundred nineteen T0-RBx were analyzed. Of these 54.4% had abnormal findings, namely, IF in 29%, TA in 13%, MI in 12%, AH in 10%, and GS in 10%. Mean clinical data were as follows: age 35.4+/-10 years, weight 66.27+/-10.14 kg, BMI 25.53+/-2.99, systolic BP 115+/-9 mm Hg, diastolic BP 74+/-7 mm Hg, SCr 0.91+/-0.25 mg/dL, eGFR 96+/-16.65 mL/min, and proteinuria 70.25+/-62.8 mg/24 hr. A total of 56.7% were women. IF correlated to age (r=0.22, P=0.001) and SCr (r=0.19, P=0.005); TA to diastolic BP (r=0.15, P=0.03) and proteinuria (r=0.20, P=0.009); AH to SCr (r=0.15, P=0.02) and eGFR (r=-0.16, P=0.018); MI to BMI (r=0.13, P=0.047). Multivariate analysis failed to sustain the significant associations found on bivariate analysis, most likely due to a low event/parameter relation and sample size. CONCLUSIONS: A significant correlation was established between T0-RBx findings and clinical predonation parameters. Whether these mild histologic findings at the time of kidney donation represent a higher risk for the remaining kidney ought to be evaluated during follow-up. In an era, when living kidney donation is increasing, we advise closer donor surveillance to modify risk factors that participate in kidney damage progression.
BACKGROUND: Living kidney donation is increasing as a partial solution for wait-listed patients. Despite properly followed guideline criteria for donor selection, current reports identify unsuspected renal pathology at preimplantation or time-zero biopsy (T0-RBx). METHODS:T0-RBx was evaluated for following: interstitial fibrosis (IF), tubular atrophy (TA), arteriolar hyalinosis (AH), mesangial increase (MI), and glomerulosclerosis (GS). Predonation data were demography, body weight, body mass index (BMI), systolic/diastolic blood pressure (BP), serum creatinine (SCr), estimated glomerular filtration rate (eGFR), and proteinuria. RESULTS: Two hundred nineteen T0-RBx were analyzed. Of these 54.4% had abnormal findings, namely, IF in 29%, TA in 13%, MI in 12%, AH in 10%, and GS in 10%. Mean clinical data were as follows: age 35.4+/-10 years, weight 66.27+/-10.14 kg, BMI 25.53+/-2.99, systolic BP 115+/-9 mm Hg, diastolic BP 74+/-7 mm Hg, SCr 0.91+/-0.25 mg/dL, eGFR 96+/-16.65 mL/min, and proteinuria 70.25+/-62.8 mg/24 hr. A total of 56.7% were women. IF correlated to age (r=0.22, P=0.001) and SCr (r=0.19, P=0.005); TA to diastolic BP (r=0.15, P=0.03) and proteinuria (r=0.20, P=0.009); AH to SCr (r=0.15, P=0.02) and eGFR (r=-0.16, P=0.018); MI to BMI (r=0.13, P=0.047). Multivariate analysis failed to sustain the significant associations found on bivariate analysis, most likely due to a low event/parameter relation and sample size. CONCLUSIONS: A significant correlation was established between T0-RBx findings and clinical predonation parameters. Whether these mild histologic findings at the time of kidney donation represent a higher risk for the remaining kidney ought to be evaluated during follow-up. In an era, when living kidney donation is increasing, we advise closer donor surveillance to modify risk factors that participate in kidney damage progression.
Authors: Lara M Fahmy; Allan B Massie; Abimereki D Muzaale; Serena M Bagnasco; Babak J Orandi; Jennifer L Alejo; Brian J Boyarsky; Saad K Anjum; Robert A Montgomery; Nabil N Dagher; Dorry L Segev Journal: Transplantation Date: 2016-06 Impact factor: 4.939
Authors: Aleksandar Denic; Mariam P Alexander; Vidhu Kaushik; Lilach O Lerman; John C Lieske; Mark D Stegall; Joseph J Larson; Walter K Kremers; Terri J Vrtiska; Harini A Chakkera; Emilio D Poggio; Andrew D Rule Journal: Am J Kidney Dis Date: 2016-02-06 Impact factor: 8.860
Authors: Walter K Kremers; Aleksandar Denic; John C Lieske; Mariam P Alexander; Vidhu Kaushik; Hisham E Elsherbiny; Harini A Chakkera; Emilio D Poggio; Andrew D Rule Journal: Nephrol Dial Transplant Date: 2015-04-16 Impact factor: 5.992
Authors: Bekir Tanriover; Sonalis Fernandez; Eric S Campenot; Jeffrey H Newhouse; Irina Oyfe; Prince Mohan; Burhaneddin Sandikci; Jai Radhakrishnan; Jennifer J Wexler; Maureen A Carroll; Sairah Sharif; David J Cohen; Lloyd E Ratner; Mark A Hardy Journal: Transplantation Date: 2015-08 Impact factor: 4.939