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OBJECTIVE: This study was designed to compare the standard and robotic-assisted laparoscopic donor nephrectomy in terms of perioperative course, short-term postoperative outcome, and to evaluate the effect of surgeon's learning curve on these parameters. METHODS:This was a prospective randomized study including 60 patients (mean age, 47 years; age, 21-72 years; 26 males, 34 females) who had been planned laparoscopic donor nephrectomies in our clinic. For comparison of standard and robot-assisted techniques and to evaluate the impact of learning curve, patients were randomized into three groups by a computer, each group containing 20 patients.Group 1: standard laparoscopic donor nephrectomies; Group 2: the first 20 patients who underwent robot-assisted laparoscopic donor nephrectomy; and Group 3: the next 20 patients who underwent robot-assisted laparoscopic donor nephrectomy.RESULTS: Operative time was significantly higher in Group 2 (221.0±45.1 min) than both Group 1 (183.5±16.9 min, p=0.001) and Group 3 (186.5±20.6 min, p=0.002). Similarly, time for laparoscopic system setup was significantly higher in Group 2 (39.5±8.6 min), which contained the first cases of robot-assisted laparoscopic donor nephrectomy where surgeon had least experience than Group 1 (19.3±3.7 min, p<0.001) and Group 3 (24.0±9.4 min, p<0.001). On the other hand, duration of operation and time for laparoscopic system setup was similar between Groups 1 and 3.CONCLUSIONS: Learning curve extends the operative time and laparoscopic system setup time in robotic-assisted laparoscopic donor nephrectomy, however, after the learning process was completed, these parameters were similar between robotic-assisted and standard laparoscopic nephrectomy.

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Background/objectives: Abdominal fat deposition is represented by means of the conicity index (CI), an anthropometric estimate that models the relative accumulation of abdominal fat. We examined the influence of markers of cardiovascular disease in terms of inflammation and lipid profile and body fat distribution on the progression of renal disease in patients with stable chronic kidney disease (CKD) stages 3-5. Material and methods: We studied 104 pre-dialysis CKD patients (64 males, 62%; age 64.6 ± 14.7 years). Glomerular filtration rate (GFR) was estimated (44.62 ± 14.38 mL/min/1.73 m 2 ) by modification of diet in renal disease formula. GFR values were estimated at baseline and at the end of the 12-month follow-up. Patients were stratified into three groups: group 1 had a loss of GFR ≥20%; group 2 had a loss of GFR 10-20%; and group 3 patients had stable renal functions or GFR change <10% at the end of 12 months. Body mass index (BMI), waist/hip ratio (WHR), and CI were subsequently computed. Renal resistive index (RRI) was measured using Doppler ultrasonography. Results: CI was strongly correlated with total cholesterol (r = 0.37, p < 0.01), low-density lipoprotein (LDL) (r = 0.53, p < 0.01), C-reactive protein (r = 0.21, p < 0.05), and serum potassium (r = 0.216, p < 0.02), whereas BMI and WHR were not associated with these parameters. The values of CI, serum cholesterol, LDL, alkaline phosphatase, alanine aminotransferase, lactate dehydrogenase activity, the degree of proteinuria and microalbuminuria, and RRI were significantly lower in group 3. In linear regression model, LDL (r 2 = 0.17, p = 0.02), uric acid (r 2 = 0.19, p < 0.01), and RRI (r 2 = 0.64, p < 0.01) were independently associated with CI for all groups. Conclusion: CI is an independent predictor of systemic inflammation, cardiovascular risk, and GFR in patients during the pre-dialysis period.