Both GSS and CROES nomograms had comparable accuracies in predicting post-PCNL stone-free status. Different from the previous reports, our results showed that both nomograms were predictive of overall complications, EBL, and operative time.

We evaluated the usefulness of preoperative neutrophil-lymphocyte count ratio (NLCR) in predicting postoperative sepsis after percutaneous nephrolithotomy (PCNL). In total, 487 patients who underwent PCNL for renal stones were included in the present retrospective study. The stone burden, number of tracts and location, operation time, fluoroscopy time, presence of residual stones, and blood transfusion rates were postoperatively recorded in all patients. All patients were followed up for signs of systemic inflammatory response syndrome (SIRS) and sepsis. The association of sepsis/SIRS with the risk factors of infectious complications, including NLCR, was evaluated. SIRS was detected in 91 (18.7%) patients, 25 (5.1%) of whom were diagnosed with sepsis. Stone burden, operation time, irrigation rate, previous surgery, nephrostomy time, access number, blood transfusion, residual stone, postoperative urinary culture, renal pelvis urinary culture, and stone culture were found to be predictive factors for SIRS and sepsis development. Receiver operating characteristic curve analysis revealed an NLCR cutoff of 2.50 for predicting the occurrence of SIRS/sepsis. We found that the incidence of sepsis was significantly higher in patients with NLCR ≥ 2.50 than in patients with NLCR < 2.50 (p = 0.006). Preoperative and postoperative urine culture positivity were associated with high NLCR (p = 0.039 and p = 0.003, respectively). We believe that preoperative NLCR may be a promising additive predictor of bacteremia and postoperative sepsis in patients who undergo PCNL for renal stones. This marker is simple, easily measured, and easy to use in daily practice without extra costs.

Objective: We investigated the prognostic value of preoperative neutrophil-to-lymphocyte ratio (NLR) on germ cell testicular tumors (GCT). Material and methods:The data of 53 patients who underwent inguinal orchiectomy were analyzed retrospectively. NLR was calculated from the preoperative complete blood cell counts. Receiver operating characteristic (ROC) analysis was performed to find the threshold values for NLR. Correlations between cancer-specific survival (CSS) and progression-free survival (PFS) and NLR were evaluated. Results:The mean follow-up time was 23.55±18.06 months. The mean level of NLR was 3.08±1.81. Optimal threshold values of NLR was calculated as 3.55 for PFS (area under curve, AUC: 0.55) and 3.0 for CSS (AUC: 0.66). For patients with a NLR of <3.55 and NLR of ≥3.55, mean times-to-progression were 55.71 months (95% CI, 51.27-60.14) and 51.95 months (95% CI, 38.02-65.87, p= 0.152), respectively. As well as, for patients with a NLR of <3.0 and NLR of ≥3.0, mean times -to-cancer specific death were 54.72 months (95% CI, 49.05-60.38) and 49.43 months (95% CI, 37.64-61.22, p= 0.119), respectively. Conclusion:Preoperative NLR is not a useful tool to predict the prognosis of patients with GCT.

No abstract

Although the complication rates and VAS scores of ethanol sclerotherapy are higher than those of polidocanol sclerotherapy, its success rates appear to be also higher. The decision of which sclerosing agent will be used should be based on patients' comorbidities, cyst location and the surgeon's experience.

The aim of this study was to compare the accuracy of the CROES nephrolithometric nomogram and S.T.O.N.E. scoring system in predicting PCNL outcomes in terms of stone-free rate, estimated blood loss (EBL), operative time (OR), length of hospital stay (LOS), and complications. Patients who underwent PCNL for renal stones between May 2012 and January 2015 were analyzed retrospectively. The patients' demographic characteristics and operational features were recorded prospectively in all patients postoperatively. S.T.O.N.E. and CROES nephrolithometry scores' correlation with stone-free status, operation and fluoroscopy time, length of hospital stay (LOS) and blood loss (BL) was evaluated. Patients were categorized according to S.T.O.N.E. nephrolithometry and CROES nephrolithometry scores. Postoperative complications were graded according to modified Clavien classification (Dindo et al. in Ann Surg 240:205-213, 2004) and the correlation of both scoring systems with postoperative complications was also evaluated. We identified 437 patients who underwent PCNL between May 2012 and January 2015. A total of 262 patients who are available data for the CROES and S.T.O.N.E. scoring systems were included in the recent study. The mean S.T.O.N.E score was 7.65 ± 1.56 and the mean CROES score was 191.13 ± 64.39. The overall stone-free rate was 71.4%. Of the 262 patients, 89 experienced postoperative complications. Stone-free patients had significantly lower BMI (<0.001) and stone burden (p < 0.001). Regression analysis showed that both scoring systems were significantly associated with stone-free rates and operation time. We demonstrated that S.T.O.N.E. and CROES scoring systems were useful for predicting post-PCNL stone-free status. But both scoring systems were not useful for predicting post-PCNL complications.

No abstract

Introduction:The present study aimed to investigate the factors of prolonged urinary leakage (PUL) after percutaneous nephrolithotomy (PCNL) and develop a new and simple scoring system to predict it. Patients and Methods: We retrospectively reviewed patients with renal stones who underwent PCNL at the University of Health Sciences Izmir Bozyaka Training and Research Hospital between April 2011 and January 2020. The patients were divided into two groups according to the presence of PUL, and their preoperative and perioperative data were compared. A multivariate regression analysis was applied to examine the relationship between perioperative descriptors and PUL, and a nomogram was developed using significant predictors. Then, the individual components of the nomogram were assigned points to form a scoring system. Results: There were 92 and 840 patients in the groups with and without PUL, respectively. The results of the univariate logistic regression analysis showed that hydronephrosis grade, parenchymal thickness, duration of nephroscopy, and duration of nephrostomy catheter were significantly associated with PUL. Subsequently, a multivariate regression analysis was carried out with these four factors as possible independent risk factors of PUL after PCNL. Based on the results of this analysis, a nomogram prediction model was developed with an area under the curve value of 0.811, which was consequently used to develop a new simple score system consisting of three characteristics: parenchymal thickness (1-5 points), duration of nephroscopy (1-3 points), and hydronephrosis grade (1-3 points). Conclusion: A novel scoring system is a useful tool for predicting PUL in patients who have undergone percutaneous nephrolithotomy.