Background: A relationship has been suggested between kidney or ureter stones and the development of urinary tract cancers. In this study, a population-based cohort of patients hospitalized for kidney or ureter stones in Sweden was followed for up to 25 years to examine subsequent risks for developing renal cell, renal pelvis/ureter, or bladder cancer.
Methods: Data from the national Swedish In-patient Register and the national Swedish Cancer Registry were linked to follow 61,144 patients who were hospitalized for kidney or ureter stones from 1965 through 1983. Standardized incidence ratios (SIRs) and 95% confidence intervals (CIs) were computed on the basis of nationwide cancer incidence rates, after adjustment for age, sex, and calendar year.
Results: Risk of renal cell cancer was not elevated in this cohort. Significant excesses of renal pelvis/ureter cancer (SIR = 2.5; 95% CI = 1.8-3.3) and bladder cancer (SIR = 1.4; 95% CI = 1.3-1.6) were observed, but the SIRs for women were more than twice those for men. Risks varied little by age or duration of follow-up. Risks of renal pelvis/ureter cancer and bladder cancer among patients with an associated diagnosis of urinary tract infection were more than double those among patients without such infection, although the risks were significantly elevated in both groups.
Conclusions: Individuals hospitalized for kidney or ureter stones are at increased risk of developing renal pelvis/ureter or bladder cancer, even beyond 10 years of follow-up. Chronic irritation and infection may play a role, since kidney or ureter stones were located on the same side of the body as the tumors in most patients with renal pelvis/ureter cancer evaluated in our study.
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http://dx.doi.org/10.1093/jnci/89.19.1453 | DOI Listing |
Am J Transplant
January 2025
Division of Transplantation, Department of Surgery, University of Wisconsin, Madison, Wisconsin, USA.
Urolithiasis
January 2025
Urology Department, Benha University, Benha, Qalubia, Egypt.
Studies in literature discussed the drawbacks of the ureteral access sheath use in flexible ureteroscopy and in the same time mentioned the benefits of ureteral access sheath in decreasing the incidence of urosepsis and better stone free rate. In the current study we aim to compare between percutaneous nephrostomy tube (PCN) insertion before flexible ureteroscopy and conventional ureteral access sheath (UAS) flexible ureteroscopy in terms of safety, efficacy and perioperative outcomes. In all, 100 Patients aged 20 to 67 years with upper ureteric stones and mild hydronephrosis or renal pelvic stones less than 20 mm with mild hydronephrosis were randomized into 2 groups; patients undergoing PCN insertion before flexible ureteroscopy, and patients undergoing the conventional UAS flexible ureteroscopy.
View Article and Find Full Text PDFIntroduction: The management of urinary tract stones, particularly kidney allograft stones, presents unique challenges for kidney transplant recipients because of their prevalence and specific clinical considerations. Here, we describe a case in which percutaneous nephrolithotomy was successfully used to fragment a large kidney allograft stone ≥20 mm in size.
Case Presentation: A 57-year-old woman who underwent ureteroureterostomy post simultaneous pancreas-kidney transplantation presented with gross hematuria after 15 years.
Urolithiasis
December 2024
Pediatric Urology Clinic, Konya City Hospital, Karatay, Konya, 42020, Turkey.
The flexible and navigable suction ureteral access sheath (FANS-UAS) has increasingly been recognized as a potential game changer for retrograde intrarenal surgery (RIRS). While this innovative technology has demonstrated promising results in adult populations, there is a notable lack of evidence regarding its application in pediatric cases, particularly in comparison to conventional ureteral access sheaths (CUAS). This study aimed to perform a comparative analysis of pediatric kidney stone cases treated with RIRS using FANS-UAS and CUAS.
View Article and Find Full Text PDFMetabolites
December 2024
Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Employing advanced machine learning models, we aim to identify biomarkers for urolithiasis from 24-h metabolic urinary abnormalities and study their associations with urinary stone diseases. We retrospectively recruited 468 patients at Peking Union Medical College Hospital who were diagnosed with urinary stone disease, including renal, ureteral, and multiple location stones, and had undergone a 24-h urine metabolic evaluation. We applied machine learning methods to identify biomarkers of urolithiasis from the urinary metabolite profiles.
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