Kidney stones may be removed without using a surgical incision by a combination of techniques and skills recently developed in the fields of urology and radiology. Percutaneous access to the kidney is established under fluoroscopic control. A guide wire placed into the renal pelvis allows a nephroscope to be inserted and the collecting system visualized. A long hollow metal probe is advanced through the nephroscope and placed in contact with the stone. This probe conducts the ultrasonic energy. The stone absorbs the energy and breaks into fine granules, which are evacuated by suction.Twenty-three consecutively seen patients presenting with 27 upper urinary tract calculi for which removal was indicated underwent successful percutaneous ultrasonic lithotripsy. Fifteen stones were located in the renal pelvis, eight in a calix, three at the ureteropelvic junction and one in the upper ureter. One infected staghorn calculus was removed. Two complications resulted in extended hospital stays, but in no patients were surgical incisions required. Of the 23 patients, 9 had previously had a surgical lithotomy. The authors believe that most renal and upper ureteral calculi for which removal is indicated may be extracted percutaneously with the aid of the ultrasonic lithotriptor. The patients may expect a rapid convalescence with diminished pain.
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World J Gastroenterol
January 2025
Université de Bourgogne, Institut Agro-INRAe, Dijon 21000, France.
The recent study exploring the bidirectional associations between gallstone disease, non-alcoholic fatty liver disease, and kidney stone disease highlights a critical concern in chronic disease management. Given the rising global prevalence of these conditions, understanding their interconnections is essential. The study emphasizes the importance of shared risk factors, such as obesity, type 2 diabetes, dyslipidemia, and oxidative stress, and calls for multidisciplinary screening strategies.
View Article and Find Full Text PDFBMC Urol
January 2025
Urology and Nephrology Research Center (UNRC), Research Institute for Urology and Nephrology, Center of Excellence in Urology, Shahid Labbafinejad Hospital, Shahid Beheshti University of Medical Sciences (SBMU), Tehran, Iran.
Background: Medical Expulsive Therapy (MET) has been recommended as an established modality for the treatment of distal ureteral stones due to its clearance rate, pain control, and patient satisfaction while having minimal morbidity in comparison to other urologic interventions. In some studies, a combination of medications has been used, which we assessed in this network meta-analysis (NMA).
Methods: We conducted systematic searches in PubMed, Scopus, and Web of Science to identify relevant trials published between 2001 and 2024.
Pediatr Nephrol
January 2025
Novo Nordisk A/S, Lexington, MA, USA.
Background: Primary hyperoxaluria type 1 (PH1) is an autosomal recessive disorder with dysregulated glyoxylate metabolism in the liver. Oxalate over-production leads to renal stones, progressive kidney damage and renal failure, with potentially life-threatening systemic oxalosis. Nedosiran is a synthetic RNA interference therapy, designed to reduce hepatic lactate dehydrogenase (LDH) to decrease oxalate burden in PH.
View Article and Find Full Text PDFWorld J Urol
January 2025
Department of Urology, Ruby Hall Clinic, Pune, India.
Background: We aimed to evaluate and compare the rise in the temperature for the safety of the kidney parenchyma on firing the Holmium: Yttrium Aluminium Garnet laser and the Thulium Fiber Laser during laser lithotripsy in humans.
Method: We included 30 pre-stented patients with renal calculi undergoing Retrograde intra-renal surgery. They were randomized into two groups - 15 patients underwent holmium laser lithotripsy and 15 patients underwent TFL laser lithotripsy.
Sci Rep
January 2025
Department of Urology, Vanderbilt University Medical Center, Nashville, USA.
Recent advancements of large language models (LLMs) like generative pre-trained transformer 4 (GPT-4) have generated significant interest among the scientific community. Yet, the potential of these models to be utilized in clinical settings remains largely unexplored. In this study, we investigated the abilities of multiple LLMs and traditional machine learning models to analyze emergency department (ED) reports and determine if the corresponding visits were due to symptomatic kidney stones.
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