A Machine Learning (ML) Predictive Model for Ureteroscopy lasertripsy (URSL) Outcomes in a Paediatric Population - Results from a large Endourology Tertiary Centre.

INTRODUCTION: We aimed to develop machine learning (ML) algorithms for the automated prediction of post operative ureteroscopy outcomes for paediatric kidney stones based on pre-operative characteristics. MATERIAL AND METHODS: Data from paediatric patients who underwent ureteroscopy for stone treatment by a single experienced surgeon, between 2010 and 2023 in Southampton General Hospital, were retrospectively collected. 15 ML classification algorithms were used to investigate correlations between preoperative characteristics and postoperative outcomes: primary stone free status (SFS, defined as stone fragments <2mm at the end of the procedure confirmed endoscopically and no evidence of stone fragments >2mm at XR KUB or US KUB at 3 months follow up) and complications. For the task of complication and stone status, ensemble model was made out of bagging classifier, extra trees classifier and LDA. Also, a multi-task neural network was constructed for the simultaneous prediction of all post-operative characteristics. Finally, Explainable AI techniques were used to explain the prediction made by the best models. RESULTS: The ensemble model produced the highest accuracy (90%) in predicting SFS, finding correlation with overall stone size (-0.205), presence of multiple stones (-0.127) and preoperative stenting (-0.102). Complications were predicted by SMOTE oversampled dataset (93.3% accuracy) with relation to preoperative positive urine culture (-0.060) and SFS (0.003). Training the ML for the multi task model, accuracies of 83.3% and 80% were respectively reached. CONCLUSION: ML has a great potential of assisting healthcare research, with possibilities to investigate dataset at a higher level. With the aid of this intelligent tool, urologists can implement their practice and develop new strategies for outcome prediction and patient counselling and informed shared decision making. Our model reached an excellent accuracy in predicting SFS and complications in the paediatric population, leading the way to the validation of patient-specific predictive tools.

Temperature profile during endourological laser activation: introducing the thermal safety distance concept.

PURPOSE: To examine temporal-spatial distribution of heat generated upon laser activation in a bench model of renal calyx. To establish reference values for a safety distance between the laser fiber and healthy tissue during laser lithotripsy. METHODS: We developed an in-vitro experimental setup employing a glass pipette and laser activation under various intra-operative parameters, such as power and presence of irrigation. A thermal camera was used to monitor both temporal and spatial temperature changes during uninterrupted 60-second laser activation. We computed the thermal dose according to Sapareto and Dewey's formula at different distances from the laser fiber tip, in order to determine a safety distance. RESULTS: A positive correlation was observed between average power and the highest recorded temperature (Spearman's coefficient 0.94, p < 0.001). Irrigation was found to reduce the highest recorded temperature, with a maximum average reduction of 9.4 °C at 40 W (p = 0.002). A positive correlation existed between average power and safety distance values (Spearman's coefficient 0.86, p = 0.001). A thermal dose indicative of tissue damage was observed at 20 W without irrigation (safety distance 0.93±0.11 mm). While at 40 W, irrigation led to slight reduction in mean safety distance (4.47±0.85 vs. 5.22±0.09 mm, p = 0.08). CONCLUSIONS: Laser settings with an average power greater than 10 W deliver a thermal dose indicative of tissue damage, which increases with higher average power values. According to safety distance values from this study, a maximum of 10 W should be used in the ureter, and a maximum of 20 W should be used in kidney in presence of irrigation.

Artificial urinary bladder model.

Technological advancements in the medical field are often slow and expensive, sometimes due to complexities associated with pre-clinical testing of medical devices and implants. There is therefore a growing need for new test beds that can mimic more closely the in vivo environment of physiological systems. In the present study, a novel bladder model was designed and fabricated with the aim of providing a pre-clinical testing platform for urological stents and catheters. The model is collapsible, has a Young's modulus that is comparable to a biological bladder, and can be actuated on-demand to enable voiding. Moreover, the developed fabrication technique provides versatility to adjust the model's shape, size, and thickness, through a rapid and relatively inexpensive process. When compared to a biological bladder, there is a significant difference in compliance; however, the model exhibits cystometry profiles during priming and voiding that are qualitatively comparable to a biological bladder. The developed bladder model has therefore potential for future usage in urological device testing; however, improvements are required to more closely replicate the architecture and relevant flow metrics of a physiological bladder.

Management of kidney stones in pregnancy: A worldwide survey of practice patterns.

Introduction Kidney stones is pregnant is not a common emergency, but it is one that is extremely challenging to manage. There exists no previous survey, which maps the different practice patterns adopted. Our aim was to deliver a survey to evaluate the current status of practice patterns across different parts of the world regarding the management of stone disease in pregnancy. Methods Through an iterative process, 19-item survey was devised. This contained the following five sections: 1. Demographics 2. General items 3. Diagnosis & Imaging 4. Initial management 5. Surgery. It was disseminated via social media and email chains. Results 355 responses were collected and the majority (66.2%) reported no established hospital protocol for stones in pregnancy. Ultrasound was the most popular first line imaging choice (89.9%) but 8% would choose non contrast CT. The latter was also chosen as second line choicer in 34.6% as opposed to MRI. A large proportion (42.5%) had requested CT in pregnancy previously. With equivocal US results, only 19.4% would proceed to ureteroscopy but 40.9% would opt for CT. 24-48 hours was the most popular (37.6%) time period to observe before surgical intervention. Ureteral stent and nephrostomy were regarded as equally effeftive.6 weeks was most popular frequency for an exchange. Most do not use fetal heart rate monitoring intra-operatively. 3.94% had previously performed PCNL during pregnancy. Conclusion Practice patterns vary widely for suspected kidney stones in pregnancy and use of CT appears increasingly popular. This includes when faced with equivocal ultrasound results and instead of proceeding to ureteroscopy. Most hospitals lack an established management protocol for this scenario.

Perioperative Outcomes and Trends in Transurethral Resection of Bladder Tumors with Photodynamic Diagnosis: Results from the GeRmAn Nationwide Inpatient Data Study.

Background: Photodynamic diagnosis (PDD) during transurethral resection of bladder tumor (TURBT) is guideline recommended, as it improves bladder cancer detection rates. However, the extent to which PDD is implemented in everyday clinical practice has not been thoroughly assessed. We aimed to evaluate the current trends and major perioperative outcomes of TURBT with PDD. Methods: The present study evaluated the GeRmAn Nationwide inpatient Data (GRAND) from 2010 (the year when PDD started to be coded separately in Germany) to 2021, which were made available from the Research Data Center of the German Bureau of Statistics. We undertook numerous patient-level and multivariable logistic regression analyses. Results: Overall, 972,208 TURBTs [228,207 (23%) with PDD and 744,001 (77%) with white light] were performed. Patients offered PDD during TURBT were younger (p < 0.001), presented fewer comorbidities (p < 0.001) and were discharged earlier from hospital (p < 0.001). PDD was associated with additional costs of about EUR 500 compared to white-light TURBT (p < 0.001). The yearly TURBT cases remained relatively stable from 2010 to 2021, whereas utilization of PDD underwent a 2-fold increase. After adjusting for major risk factors in the multivariate regression analysis, PDD was related to lower rates of transfusion (1.4% vs. 5.6%, OR: 0.29, 95% CI: 0.28 to 0.31, p < 0.001), intensive care unit admission (0.7% vs. 1.4%, OR: 0.56, 95% CI: 0.53 to 0.59, p < 0.001) and 30-day in-hospital mortality (0.1% vs. 0.7%, OR: 0.24, 95% CI: 0.22 to 0.27, p < 0.001) compared to white-light TURBT. On the contrary, PDD was related to clinically insignificant higher rates of bladder perforation (0.6% versus 0.5%, OR: 1.3, 95% CI: 1.2 to 1.4, p < 0.001), and reoperation (2.6% versus 2.3%, OR: 1.2, 95% CI: 1.1 to 1.2, p < 0.001). Conclusions: The utilization of PDD with TURBT is steadily increasing. Nevertheless, the road toward the establishment of PDD as the standard of care for TURBT is still long, despite of the advantages of PDD.

Application of AI in urolithiasis risk of infection: a scoping review.

INTRODUCTION: Artificial intelligence and machine learning are the new frontier in urology; they can assist the diagnostic work-up and in prognostication bring superior to the existing nomograms. Infectious events and in particular the septic risk, are one of the most common and in some cases life threatening complication in patients with urolithiasis. We performed a scoping review to provide an overview of the current application of AI in prediction the infectious complications in patients affected by urolithiasis. EVIDENCE ACQUISITION: A systematic scoping review of the literature was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses for Scoping Reviews (PRISMA-ScR) guidelines by screening Medline, PubMed, and Embase to detect pertinent studies. EVIDENCE SYNTHESIS: A total of 467 articles were found, of which nine met the inclusion criteria and were considered. All studies are retrospective and published between 2021 and 2023. Only two studies performed an external validation of the described models. The main event considered is urosepsis in four articles, urinary tract infection in two articles and diagnosis of infection stones in three articles. Different AI models were trained, each of which exploited several types and numbers of variables. All studies reveal good performance. Random forest and artificial neural networks seem to have higher AUC, specificity and sensibility and perform better than the traditional statistical analysis. CONCLUSIONS: Further prospective and multi-institutional studies with external validation are needed to better clarify which variables and AI models should be integrated in our clinical practice to predict infectious events.

Patient perspectives on vasectomy: findings from a TikTok® content analysis.

Social media is increasingly used as a platform for patients to explore health care information. Our objective was to study the content on TikTok® in order to gain insight into the perspectives shared by the public on vasectomy. A search was performed using the hashtag ´#vasectomy´ on 12.20.2023 and the top 100 video posts from persons self-identifying as patients were included. Using an adaptation of a previously published system, a framework was created for organising and categorising the data related to vasectomy. Domains covered included reason for vasectomy, complications, vasectomy as a controversial topic in society and reference to the 2022 Dobbs v. Jackson ruling. Most content originated from the United States (85.0%) and the median number of views per video was 261 200 (interquartile range (IQR) 8416-1 800 000). In 12.0% of posts, the individual clearly stated that they were under 30 years of age. Two of the commonest topics to be addressed in the videos were recovery (41.0%) and pain (40.0%). 30.0% discussed the reason for undergoing vasectomy. Reasons included women's rights (12%), safety over tubal ligation (5.0%) and desire to be childless (4.0%). 9.0% referred to the Dobbs v. Jackson ruling. Complications were discussed in 19.0% including vasectomy failure (12.0%). 23.0% contained factually incorrect medical information. 31.0% of videos included the user voicing that vasectomy was considered to be a controversial subject. More than half of the videos (61.0%) were positive regarding the vasectomy process. Our findings reveal that vasectomy receives very high engagement on social media. This study confirms that patients do use it to share their experiences, both positive and negative. Misconceptions regarding this contraception method are common among the public and the urological community should work to address this.

Can Machine Learning Correctly Predict Outcomes of Flexible Ureteroscopy with Laser Lithotripsy for Kidney Stone Disease? Results from a Large Endourology University Centre.

Background and objective: The integration of machine learning (ML) in health care has garnered significant attention because of its unprecedented opportunities to enhance patient care and outcomes. In this study, we trained ML algorithms for automated prediction of outcomes of ureteroscopic laser lithotripsy (URSL) on the basis of preoperative characteristics. Methods: Data were retrieved for patients treated with ureteroscopy for urolithiasis by a single experienced surgeon over a 7-yr period. Sixteen ML classification algorithms were trained to investigate correlation between preoperative characteristics and postoperative outcomes. The outcomes assessed were primary stone-free status (SFS, defined as the presence of only stone fragments <2 mm on endoscopic visualisation and at 3-mo imaging) and postoperative complications. An ensemble model was constructed from the best-performing algorithms for prediction of complications and for prediction of SFS. Simultaneous prediction of postoperative characteristics was then investigated using a multitask neural network, and explainable artificial intelligence (AI) was used to demonstrate the predictive power of the best models. Key findings and limitations: An ensemble ML model achieved accuracy of 93% and precision of 87% for prediction of SFS. Complications were mainly associated with a preoperative positive urine culture (1.44). Logistic regression revealed that SFS was impacted by the total stone burden (0.34), the presence of a preoperative stent (0.106), a positive preoperative urine culture (0.14), and stone location (0.09). Explainable AI results emphasised the key features and their contributions to the output. Conclusions and clinical implications: Technological advances are helping urologists to overcome the classic limits of ureteroscopy, namely stone size and the risk of complications. ML represents an excellent aid for correct prediction of outcomes after training on pre-existing data sets. Our ML model achieved accuracy of >90% for prediction of SFS and complications, and represents a basis for the development of an accessible predictive model for endourologists and patients in the URSL setting. Patient summary: We tested the ability of artificial intelligence to predict treatment outcomes for patients with kidney stones. We trained 16 different machine learning tools with data before surgery, such as patient age and the stone characteristics. Our final model was >90% accurate in predicting stone-free status after surgery and the occurrence of complications.

Dent's Disease: A Cause of Monogenic Kidney Stones and Nephrocalcinosis.

Kidney stones are becoming increasingly common, affecting up to 10% of adults. A small percentage are of monogenic origin, such as Dent's disease (DD). DD is a syndrome that causes low-molecular-weight proteinuria, hypercalciuria, nephrolithiasis, and nephrocalcinosis. It is X-linked, and most patients have mutations in the CLCN5 gene. We performed a review of the literature and evaluated the case series (n = 6) of a single center in Spain, reviewing the natural evolution of kidney stones, clinical implications, laboratory analyses, radiological development, and treatment. All patients had a genetically confirmed diagnosis, with the CLCN5 mutation being the most frequent (66%). All patients had proteinuria and albuminuria, while only two and three presented hypercalciuria and phosphate abnormalities, respectively. Only one patient did not develop lithiasis, with most (60%) requiring extracorporeal shock wave lithotripsy or surgery during follow-up. Most of the patients are under nephrological follow-up, and two have either received a renal transplant or are awaiting one. The management of these patients is similar to that with lithiasis of non-monogenic origin, with the difference that early genetic diagnosis can help avoid unnecessary treatments, genetic counseling can be provided, and some monogenic kidney stones may benefit from targeted treatments.

One-Year Outcomes of Transurethral Treatment of Bladder Neck Stenosis Following Transurethral Resection of the Prostate. Results from a Large, Multicenter Series.

Purpose: To assess management and outcomes of bladder neck stenosis (BNS) post-transurethral resection of the prostate (TURP) in 12 centers. Patients and Methods: A retrospective analysis of patients who underwent transurethral BN incision for stenosis following TURP from January 2015 and January 2023 was performed. Inclusion criteria included endoscopic diagnosis of BNS associated with obstruction and/or lower urinary tract symptoms. Data are presented as median and interquartile range. Two distinct univariable logistic regression analyses were performed to identify factors associated with overall urinary incontinence and recurrent stenosis. Results: Three hundred and seventy-two men were included. 95.2% of patients developed BNS following bipolar TURP. 21.0% of patients were on an indwelling catheter before BNS incision. Bipolar electrocautery was the most commonly employed energy for incision (66.5%). Collings knife was the most commonly employed (61.2%) instrument for incision, followed by end-firing holmium lasering (35.3%). Median operation time was 30 (25-45) minutes. The overall complication rate was 12.4%, with 19 (5.1%) patients suffering from acute urinary retention, 6 (1.6%) patients requiring prolonged irrigation due to persistent hematuria, and a surgical hemostasis was necessary in 8 cases (2.2%). Overall postoperative incontinence rate was 17.2%, with urge incontinence accounting for the most common type (45.3%). Incontinence lasted more than 3 months in 9/46 (14.3%) patients. Recurrent BNS occurred in 29 (7.8%) patients and was managed by re-endoscopic incision in 21 (5.6%) patients and dilatation only in 6 (1.6%) patients. Two (0.5%) patients underwent urethroplasty for recalcitrant stenosis. Logistic regression analysis showed that Collings knife was associated with higher odds of having postoperative incontinence (OR 3.93 95% CI 1.45-11.13, p=0.008) and BN recurrence (OR 3.589 95% CI 1.157-15.7, p=0.047). Conclusion: Transurethral BN incision provides satisfactory short-term results with an acceptable rate of complications.

Real world propensity score matched analysis evaluating the influence of en-bloc vs. non en-bloc techniques, energy and instrumentation on enucleation outcomes for large and very large prostates.

PURPOSE: The primary aim of the study was to evaluate if en-bloc vs. non en-bloc made a difference to intra-, peri- and post-operative surgical outcomes of anatomical endoscopic enucleation (AEEP) in large (> 80 cc) and very large prostates (> 200 cc). The secondary aim was to determine the influence of energy and instruments used. METHODS: Data of patients with > 80 cc prostate who underwent surgery between 2019 and 2022 were obtained from 16 surgeons across 13 centres in 9 countries. Propensity score matching (PSM) was used to reduce confounding. Logistic regression was performed to evaluate factors associated with postoperative urinary incontinence (UI). RESULTS: 2512 patients were included with 991 patients undergoing en-bloc and 1521 patients undergoing non-en-bloc. PSM resulted in 481 patients in both groups. Total operation time was longer in the en-bloc group (p < 0.001), enucleation time was longer in the non en-bloc group (p < 0.001) but morcellation times were similar (p = 0.054). Overall, 30 day complication rate was higher in the non en-bloc group (16.4% vs. 11.4%; p = 0.032). Rate of late complications (> 30 days) was similar (2.3% vs. 2.5%; p > 0.99). There were no differences in rates of UI between the two groups. Multivariate analysis revealed that age, Qmax, pre-operative, post-void residual urine (PVRU) and total operative time were predictors of UI. CONCLUSIONS: In experienced hands, AEEP in large prostates by the en-bloc technique yields a lower rate of complication and a slightly shorter operative time compared to the non en-bloc approach. However, it does not have an effect on rates of post-operative UI.

Artificial Intelligence in Urologic Robotic Oncologic Surgery: A Narrative Review.

With the rapid increase in computer processing capacity over the past two decades, machine learning techniques have been applied in many sectors of daily life. Machine learning in therapeutic settings is also gaining popularity. We analysed current studies on machine learning in robotic urologic surgery. We searched PubMed/Medline and Google Scholar up to December 2023. Search terms included "urologic surgery", "artificial intelligence", "machine learning", "neural network", "automation", and "robotic surgery". Automatic preoperative imaging, intraoperative anatomy matching, and bleeding prediction has been a major focus. Early artificial intelligence (AI) therapeutic outcomes are promising. Robot-assisted surgery provides precise telemetry data and a cutting-edge viewing console to analyse and improve AI integration in surgery. Machine learning enhances surgical skill feedback, procedure effectiveness, surgical guidance, and postoperative prediction. Tension-sensors on robotic arms and augmented reality can improve surgery. This provides real-time organ motion monitoring, improving precision and accuracy. As datasets develop and electronic health records are used more and more, these technologies will become more effective and useful. AI in robotic surgery is intended to improve surgical training and experience. Both seek precision to improve surgical care. AI in ''master-slave'' robotic surgery offers the detailed, step-by-step examination of autonomous robotic treatments.

Catalyzing Precision Medicine: Artificial Intelligence Advancements in Prostate Cancer Diagnosis and Management.

BACKGROUND: The aim was to analyze the current state of deep learning (DL)-based prostate cancer (PCa) diagnosis with a focus on magnetic resonance (MR) prostate reconstruction; PCa detection/stratification/reconstruction; positron emission tomography/computed tomography (PET/CT); androgen deprivation therapy (ADT); prostate biopsy; associated challenges and their clinical implications. METHODS: A search of the PubMed database was conducted based on the inclusion and exclusion criteria for the use of DL methods within the abovementioned areas. RESULTS: A total of 784 articles were found, of which, 64 were included. Reconstruction of the prostate, the detection and stratification of prostate cancer, the reconstruction of prostate cancer, and diagnosis on PET/CT, ADT, and biopsy were analyzed in 21, 22, 6, 7, 2, and 6 studies, respectively. Among studies describing DL use for MR-based purposes, datasets with magnetic field power of 3 T, 1.5 T, and 3/1.5 T were used in 18/19/5, 0/1/0, and 3/2/1 studies, respectively, of 6/7 studies analyzing DL for PET/CT diagnosis which used data from a single institution. Among the radiotracers, [68Ga]Ga-PSMA-11, [18F]DCFPyl, and [18F]PSMA-1007 were used in 5, 1, and 1 study, respectively. Only two studies that analyzed DL in the context of DT met the inclusion criteria. Both were performed with a single-institution dataset with only manual labeling of training data. Three studies, each analyzing DL for prostate biopsy, were performed with single- and multi-institutional datasets. TeUS, TRUS, and MRI were used as input modalities in two, three, and one study, respectively. CONCLUSION: DL models in prostate cancer diagnosis show promise but are not yet ready for clinical use due to variability in methods, labels, and evaluation criteria. Conducting additional research while acknowledging all the limitations outlined is crucial for reinforcing the utility and effectiveness of DL-based models in clinical settings.

Reoperation Rate for Residual/Regrowth Adenoma Following Transurethral Interventions for Benign Prostatic Enlargement: Results from a Systematic Review and Meta-Analysis of Comparative Randomized Studies.

Objective: To perform a systematic review to assess the incidence of reoperation rate for residual/regrowth adenoma after transurethral surgeries for benign prostatic enlargement. Materials and Methods: A systematic literature search was performed on November 12, 2023, using Cochrane Central Register of Controlled Trials, PubMed, and Scopus. We only included randomized studies comparing monopolar (M)/bipolar (B) transurethral resection of the prostate (TURP) vs ablation vs enucleation procedures. Incidence of reoperation was assessed using the Cochran-Mantel-Haenszel Method and reported as risk ratio (RR), 95% confidence interval (CI), and p-values. Statistical significance was set at p < 0.05. Evidence synthesis: Forty-eight studies were included. Six studies compared enucleation vs TURP, 41 ablation vs TURP, and 1 study enucleation vs ablation vs TURP, encompassing 457 patients in enucleation, 2259 in ablation, and 2517 in the TURP group. The pooled incidence of reoperation was 6.2%, 0.7%, 2.3%, and 4.3% after ablation, enucleation, M-TURP, and B-TURP, respectively. Meta-analysis showed that the incidence of reoperation was significantly lower in the enucleation group (RR 0.28, 95% CI 0.10-0.81, p = 0.02), but the difference accounted only in studies with follow-up between 1 and 3 years (RR 0.18, 95% CI 0.04-0.85, p = 0.03). The incidence of reoperation was significantly lower in the enucleation compared with the B-TURP group (RR 0.14, 95% CI 0.03-0.77, p = 0.02). Meta-analysis showed that the incidence of reoperation was significantly higher in the ablation group (RR 1.81, 95% CI 1.33-2.47, p = 0.0002), but there was no difference in studies with follow-up up to 1 year (odds ratio 1.78 95% CI 0.97-3.29, p = 0.06) longer than 5 years (RR 2.02, 95% CI 0.71-5.79, p = 0.19). The incidence of reoperation was significantly higher in the ablation compared with the M-TURP group (RR 1.91, 95% CI 1.44-2.54, p < 0.0001). Conclusions: In mid-term follow-up, reoperation rate for residual/regrowth adenoma was significantly lower after enucleation, although was significantly higher after ablation compared with TURP.

Current status of the adjustable transobturator male system (ATOMSTM) for male stress urinary incontinence.

Male stress urinary incontinence is a debilitating condition, which can occur after prostate surgery. In persistent cases, surgery is indicated and a number of options are available. This includes one of the male slings, Adjustable transobturator male system (ATOMSTM, A.M.I, Austria). There are now an increasing number of studies published. This review provides an overview of the current status of this implant device including technical considerations, surgical outcomes and potential advantages and disadvantages compared to alternatives such as the artificial urinary sphincter.

Regional versus general anaesthesia in percutaneous nephrolithotomy: a systematic review and meta-analysis.

Introduction: Several studies have compared the safety and effectiveness of general and regional anaesthesia in percutaneous nephrolithotomy (PCNL). This study aimed to compare the perioperative and postoperative outcomes of general anaesthesia and regional anaesthesia for patients undergoing PCNL. Material and methods: For relevant articles, three electronic databases, including PubMed, Scopus, and Web of Science, were searched from their inception until March 2023. A meta-analysis has been reported in line with PRISMA 2020 and AMSTAR Guidelines. The risk ratio (RR) and mean difference (MD) were applied for the comparison of dichotomous and continuous variables with 95% confidence intervals (CI). Results: The final cohort analysis, comprised 3871 cases of PCNL, (2154 regional anaesthesia and 1717 general anaesthesia). Compared to general anaesthesia, the regional anaesthesia group had a significantly shorter length of stay (MD = -0.34 days, 95% CI -0.56 to -0.12, p = 0.002), lower postoperative nausea and vomiting rates (RR = 0.16, 95% CI 0.03 to 0.80, p = 0.026), lower complications grade III-V rates (RR = 0.68, 95% CI 0.53 to 0.88, p = 0.004), and lower postoperative visual analogue pain score (VAS) at 1 hour (MD = -3.5, 95% CI -4.1 to -2.9, p <0.001). There were no significant differences in other outcomes between the two groups. Conclusions: Our results show that PCNL under regional anaesthesia is safe and feasible, with comparable results to those done under general anaesthesia. While patient selection is important, counselling and decision-making for these procedures must go hand in hand to achieve the best clinical outcome.

Patient experiences and perceptions of kidney stone surgery: what lessons can be learned from TikTok?

Introduction: The aim of this study was to perform an evaluation of patient experiences and perceptions regarding kidney stone surgery on the social media platform TikTok. An increasing number of the public use social media (SoMe) as a platform to share their views regarding their experiences related to surgical treatment. Methods: Using the hashtag #kidneystonesurgery, the 100 most recent video posts as of 01.01.2024 on TikTok were included. As well as demographic data such as gender and location, thematic content was also collected. To achieve this, a previously published framework was used and adapted for application in the setting of kidney stone surgery. This was piloted on 20 sample videos to assess its feasibility before revision and establishment of the final framework. This included the following key areas: Pain, Complications, Anxiety, Recovery, Return to work, Finances, Treatment delays, Diet and Prevention and stent complaints. Results: The majority of posts (95%) were from North America, 80% by females and the mean number of video views was 92,826 (range: 261-2,000,000). 76% of the videos discussed ureteroscopy (URS). 49% were filmed at the hospital, which was named in 9% of the videos. Top three topics discussed were: Recovery (65%), pain (62%) and stents (55%). This was followed by anxiety (39%) and complications (24%). 12% of these videos uploaded by lay people included basic medical information that was wholly incorrect. More than half of the posts (51%) were negative in tone. Treatment delays (5%) and a lack of sufficient preoperative information (4%) were also raised, that appeared to contribute to the negative reports. However, the main cause for negative tone owed to the 80% of the patients (n = 44) who discussed stents that focused their video on the pain suffered from the post operative stent. Conclusion: There is a high level of usership and engagement on TikTok on the subject of kidney stone surgery. The proportion of negative videos is high and much of this is related to the bothersome stent symptoms and complications. This could easily lead to misperceptions among potential patients about the true burden of such adverse events.

Percutaneous Nephrolithotomy for De Novo Urolithiasis After Kidney Transplantation: A Systematic Review of the Literature.

Introduction and Objective: Renal transplantation is the treatment for end-stage renal disease that offers better quality of life and survival. Among the possible complications that might affect allografts, urolithiasis might have severe consequences, causing acute kidney injury (AKI) or septic events in immunocompromised patients. Allograft stones might be treated with percutaneous nephrolithotomy (PCNL). The aim of this Cochrane style review was to assess the safety and efficacy of PCNL in patients with renal transplant. Methods: A comprehensive search in the literature was performed including articles between July 1982 and June 2023, with only English original articles selected for this review. Results: The final review encompassed nine articles (108 patients). The mean age was 46.4 ± 8.7 years, with a male:female ratio of 54:44. The average time from transplantation to urolithiasis onset was 47.54 ± 23.9 months. Predominant symptoms upon presentation were AKI (32.3%), followed by urinary tract infection and fever (24.2%), and oliguria (12.9%). The mean stone size was 20.1 ± 7.3 mm, with stones located in the calices or pelvis (41%), ureteropelvic junction (23.1%), or proximal ureter (28.2%). PCNL (22F-30F) was more frequently performed than mini-PCNLs (16F-20F) (52.4% vs 47.6%). Puncture was guided by ultrasound (42.9%), fluoroscopy (14.3%), or both (42.9%). The stone-free rate (SFR) and complication rates were 92.95% (range: 77%-100%) and 5.5%, respectively, with only one major complication reported. Postoperatively, a ureteral stent and nephrostomy were commonly placed in 47%, with four patients needing a second look PCNL. During an average follow-up of 32.5 months, the recurrence rate was 3.7% (4/108), and the mean creatinine level was 1.37 ± 0.28 mg/dL. Conclusions: PCNL remains a safe and effective option in de novo allograft urolithiasis, allowing to treat large stones in one-step surgery. A good SFR is achieved with a low risk of minor complications. These patients should be treated in an endourology center in conjunction with the renal or transplant team.