Clinical and demographic predictors of repeat stone surgery

• DOI: 10.1111/bju.14844
• Publication Date: 2019-06-05T13:48:53Z
• Authors: Viacheslav Iremas...; Shuang Li; Sara L. Best; Sean P. Hedican; Stephen Y. Nakada
• Keywords: Adult; Aged, 80 and over; Male; Reoperation; Adolescent; Middle Aged; Nephrolithiasis; 3. Good health; Young Adult; 03 medical and health sciences; 0302 clinical medicine; Risk Factors; Lithotripsy; Ureteroscopy; Humans; Female; Aged; Retrospective Studies

ObjectiveTo identify the clinical and demographic predictors of repeat stone surgery.Materials and MethodsWe retrospectively analysed 1496 consecutive patients, aged > 18 years, who underwent stone surgery at our institution in the period from January 2009 to May 2017 and who had at least 12 months of postoperative follow‐up. We defined surgical recurrence as repeat surgery on the same renal unit or on the opposite renal unit if the original imaging did not demonstrate significant stones on that side. Characteristics associated with the risk of surgical recurrence in univariate Cox regression analysis were entered into a multivariate model.ResultsMost patients underwent ureteroscopy and laser lithotripsy (83.0%). Approximately 60% of the patients had a personal history of stone disease and 50% were obese. Over a mean (median; interquartile range) follow‐up of 4.1 (3.9; 2.4–5.9) years, 24.5% of patients had surgical recurrence, with 82% of repeat surgeries performed for symptomatic nephrolithiasis. The factors associated with increased risk of surgical recurrence in the multivariate model were: age <60 years, female gender, malabsorptive gastrointestinal disease, diabetes, recurrent urinary tract infections, personal history of nephrolithiasis, renal stones and bilateral nephrolithiasis. The hazard ratios for these variables ranged within an interval of <0.5 (from 1.30 to 1.71).ConclusionWe identified eight demographic and clinical factors associated with increased risk of repeat renal stone surgery. These factors could be combined as a numerical count that allows stratification of patients into low‐, intermediate‐ and high‐risk subgroups.