Introduction: Percutaneous nephrolithotomy (PCNL) is a widely used procedure for treating renal calculi. Advanced techniques have improved outcomes, but hemorrhage remains a significant complication. While most cases of hemorrhagic complications are typically managed conservatively, few cases necessitate interventions like angioembolization (AE). The purpose of this study is to identify risk factors closely associated with severe bleeding post-PCNL requiring AE and to assess if these factors can independently predict the type of lesion [arteriovenous fistula (AVF) vs pseudoaneurysm (PA)]. Materials and method: A retrospective analysis was conducted on 119 patients who underwent “tubeless” PCNL and experienced severe bleeding between January 2018 and December 2023. The study reviewed demographic characteristics, stone characteristics, perioperative factors, and adverse events. The chi-square test and Fisher’s exact test were used for univariate analysis. Logistic regression analysis was used in binomial analysis with a value of p < 0.05 considered statistically significant. Results: Out of 119 patients, 51 required AE. Elevated preoperative serum creatinine levels (>1.5 mg/dl) [ p = 0.01], upper pole access [ p = 0.008], and a larger access sheath size (standard PCNL vs mini-PCNL) [ p ⩽ 0.001] were found to be significantly associated with AE. Logistic regression analysis revealed standard PCNL was significantly associated with post-PCNL bleeding requiring AE (odds ratio [OR]: 50, 95% confidence interval [CI]: 6.529–382.90, p ⩽ 0.001). Stone size and co-morbidities showed no significant association with AE. The average duration of presentation of symptoms post PCNL was 13.6 days. Most patients underwent coiling for AE, with a clinical success rate of 94%. Conclusion: Elevated serum creatinine levels, upper pole access, and tract size >24 Fr are more prone to post-tubeless PCNL severe bleeding, which requires renal AE. The findings suggest that early angiography and possible AE should be considered for at-risk patients. In the future, these predictors may be integrated into predictive models to improve patient risk stratification.

Background: Emphysematous pyelonephritis (EPN) is a well-known clinical condition characterized by an aggressive, gas-forming infection of the kidney caused by uropathogenic bacteria. There is growing interest in identifying the effects of EPN on long-term renal function and the factors that can help predict its impact. Objectives: This study evaluated risk factors for the development of poorly functioning kidneys (PFK) in patients diagnosed with EPN. Design: A retrospective study was conducted at a university teaching hospital on patients with EPN from January 2019 to December 2024. Methods: Data were collected from the prospectively maintained patient records, and patient demographics, comorbidities, clinical presentation, laboratory investigations, imaging characteristics, and interventions were analyzed. PFKs were defined as those with less than 15% differential function on radionuclide renography performed at follow-up. Data were analyzed using SPSS version 23 (IBM Corp.). A p -value 200 mg/dL ( p < 0.0001), >50% parenchymal involvement on imaging ( p < 0.00001), Huang-Tseng Class 3b ( p < 0.00001), and persistence of gas in the renal parenchyma on follow-up imaging ( p < 0.0001) to be significantly associated with the development of PFK. Multivariate Analysis revealed that >50% parenchymal involvement on initial imaging was an independent and significant predictor of PFK. Conclusion: EPN is a fulminant renal infection with a high risk of renal functional deterioration. Renal parenchymal involvement of >50% on initial imaging emerged as the most significant and independent predictor of poor renal function. Additional contributory factors included RBS >200 mg/dL, Huang-Tseng Class 3b, and persistence of gas in the renal parenchyma on follow-up. Recognizing these clinical and radiological predictors can support early risk stratification, guide patient counseling, and inform individualized management strategies aimed at preserving renal function.

Introduction: Various nephrolithometry scoring systems have been introduced to assess the outcomes of percutaneous nephrolithotomy (PCNL) and postoperative complications. Previous studies have incorporated various variables to determine factors influencing postoperative acute kidney injury (AKI). Using separate scoring systems or nomograms to predict postoperative outcomes and AKI is cumbersome. Our study aims to find if stone scoring systems can be used to predict AKI following a PCNL procedure. Materials and methods: A prospective observational study was conducted at Kasturba Hospital and Medical College from December 2023 to June 2024. All patients undergoing PCNL were included in the study. Scores were calculated for all patients pre-operatively using various nephrolithometry scoring systems. Patients were divided into two groups based on the presence or absence of AKI following PCNL. The various stone scoring systems were assessed for their ability to predict AKI following PCNL. Results: Out of the 90 patients in the study, 15 (16.66%) developed AKI, and 75 (83.33%) had no AKI following PCNL. Statistical significance was found in stone size ( p < 0.001), stone location ( p = 0.011), Staghorn ( p < 0.001), Guy’s Score ( p = 0.001), STONE score (0.002), CROES Score ( p = 0.001), Amplatz size ( p = 0.012) and energy source ( p = 0.01). No statistical significance was found when comparing sex, comorbidities, number of stones, the severity of HN, puncture location and number, intraoperative hypotension, operative time, and duration of hospital stay. Conclusion: Nephrolithometry scoring systems, in addition to assessing postoperative outcomes such as stone-free rate and complications, can also be used to predict the occurrence of AKI. The use of a limited number of scoring systems to assess all the postoperative outcomes will help simplify and facilitate their use in routine clinical practice.

Introduction: There is a dearth of research available on the outcomes, complications, and recurrence rates of the modalities employed in treatment of diverticula after stone clearance by PCNL. We present our experience of various approaches employed in our institute for treatment of caliceal diverticulum after stone clearance by PCNL. We aimed to review the outcomes, complications, and recurrence rates of these procedures which can provide valuable insights into the effectiveness of these techniques in the treatment of stone containing caliceal diverticulum. Methods: A retrospective analysis of a prospectively maintained database of patients diagnosed with caliceal diverticular stone was conducted. The primary outcome was the stone-free rate (SFR) at the time of hospital discharge, determined by a combined nephroscopic/fluoroscopic assessment, and the obliteration of the diverticular sac. Secondary outcomes included the evaluation of operative time, duration of hospital stay and postoperative complications. Results: A total of 53 patients were evaluated. The mean diverticulum size was 23.2 mm, most common location was the superior calyx (30 (56.7%)). Group 1 (diverticular neck treatment + DJ stent) included 27 patients, group 2 (diverticular wall fulguration + PCN) included 18 patients and group 3 (PCN alone) included 8 patients. Mean operating time was highest in group 1 (80 min). Stone clearance was 100% in group 1, 91% in group 2 and 88% in group 3. Obliteration of caliceal diverticulum was highest in group 1 (90%). Mean duration of hospital stay was lowest in group 1 (3.2 days). Overall complications were lowest in group 2 (3/18). Conclusion: PCNL followed by combination of diverticular wall fulguration and PCN or treatment of diverticular neck and DJ stenting is safe and effective in causing diverticular obliteration. Placement of nephrostomy tube alone was not found to be effective in causing diverticular obliteration in our study.

Background: Delayed graft function (DGF) is a frequent early complication after deceased donor kidney transplantation (DDKT), leading to prolonged hospitalization, increased risk of acute rejection, and reduced graft survival. Reliable and easily measurable preoperative biomarkers for DGF prediction remain limited. This study aimed to evaluate the predictive value of pre-operative Absolute Eosinophil Count (AEC) and Albumin-to-Globulin Ratio (AGR) for DGF in DDKT recipients. Methods: A retrospective analysis was conducted on all DDKT procedures performed at our institution between January 2018 and December 2023. Patients were divided into two groups: Group 1 (DGF) and Group 2 (non-DGF). DGF was defined as the requirement for hemodialysis within the first seven postoperative days. Demographic, clinical, and laboratory data—including pre-operative AEC and AGR—were collected and compared between groups. Statistical analysis was performed using appropriate parametric and nonparametric tests. Receiver operating characteristic (ROC) curves were generated to assess the individual and combined predictive performance of AEC and AGR for DGF. Results: A total of 38 patients underwent DDKT, comprising 27 males (71.05%) and 11 females (28.95%), with a mean age of 43.3 ± 9.41 years. Fifteen patients (39.47%) developed DGF. The mean AEC and AGR were significantly lower in the DGF group compared to the non-DGF group (AEC: 0.20 ± 0.16 vs. 0.40 ± 0.35, p = 0.04; AGR: 1.43 ± 0.22 vs. 1.66 ± 0.39, p = 0.02). ROC analysis demonstrated that both AEC (p = 0.04) and AGR (p = 0.04) were significant predictors of DGF. Combining both parameters resulted in a higher area under the curve (AUC), improved sensitivity, and enhanced negative predictive value (NPV) compared to either marker alone. Conclusions: DGF occurred in nearly two-fifths of DDKT recipients in this cohort. Patients with lower preoperative AEC and AGR were more likely to develop DGF, suggesting that these easily available hematological and biochemical indices can serve as potential preoperative predictors of early graft dysfunction. Future multicentric prospective studies are warranted to validate these findings and explore their integration into DGF risk prediction models.