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OBJECTIVES: Benign prostate hyperplasia is frequently diagnosed in elderly chronic renal failure patients. Although it is asymptomatic because urine flow declines in those with chronic renal failure, it may become symptomatic when urine flow increases after renal transplant. Untreated benign prostate hyperplasia may lead to several complications that adversely affect the kidney allograft. MATERIALS AND METHODS: Our retrospective study investigated data from 286 male transplant patients. Data obtained included medical history, clinical examination, prostate-specific antigen, prostate volume, and residual urine volume results. Patients had completed an International Prostate Symptom Score questionnaire to assess the low urinary symptoms. Creatinine level, residual urine volume, International Prostate Symptom Score, and uroflow-metry results were reviewed. RESULTS: The average age of patients in our group was 54.8 years. Seven patients were diagnosed with benign prostate hyperplasia, and transurethral resection of the prostate was performed. The average creatinine levels before and after transurethral resection were 2.53 ± 0.76 mg/dL and 1.66 ± 1.12 mg/dL, respectively. Creatinine levels measured 6 months after transurethral resection versus before resection were statistically significant (P < .018). Furthermore, there was a statistically significant difference (P < .017) in the postmicturition residual urine volume between the preoperative and postoperative values, which were 132.14 ± 19.33 and 47.6 ± 18.6 mL, respectively. Maximum urine flow rates before and after transurethral resection were also significantly different (P < .017). CONCLUSIONS: Although the main reasons for graft function loss after renal transplant are rejection and infections, obstructive pathologies should also be considered. Especially for elderly patients, anamnesis, uroflowmetry, and digital rectal examination play critical roles in the evaluation of benign prostate hyperplasia before and after transplant.
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INTRODUCTION: There is an increasing gap between organ supply and demand for cadaveric transplantation in our country. Our aim was to evaluate factors affecting selection of patients on waiting list at our hospital. METHOD: Patients who have been waiting on list and who were transplanted were compared in order to find factors, which affected the selection of patients. Non-parametric Mann-Whitney U test was used for comparison and cox regression analysis was used to find the risk factors that decrease the probability of transplantation in this retrospective case-control study. RESULTS: Patients in the transplanted group were significantly younger, had relatively lower body mass index than the awaiting group. Cardiovascular diseases were more in the awaiting group than the transplanted group. There was no patient with diabetes in transplanted group, despite fifteen diabetic patients were in the awaiting group. Selected patients had lower immunologic risk with regard to peak panel reactive antibody levels. No significant difference was found for gender, hypertension, hyperlipidemia, viral serology, time spent on dialysis and on waiting list between two groups. With cox regression analysis female gender, older age, diabetes mellitus, high body mass index, positive hepatitis B serology and high levels of peak class 1-2 peak panel reactive antibody positivity were found as risk factors that decrease the probability of transplantation. CONCLUSION: A tendency for selection of low risk patients was found with this study. Time and energy consuming complications and short allograft survival after transplantation in high risk patients and the scarcity of cadaveric pool in our country may contribute to this tendency.