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    Influencing factors of acute kidney injury following retrograde intrarenal surgery
    (Springer, 2023) Göger, Yunus Emre; Özkent, Mehmet Serkan; Kılınç, Muzaffer Tansel; Erol, Eren; Taşkapu, Hakan Hakkı
    Purpose: To investigate the influencing factors of acute kidney injury (AKI) following retrograde intrarenal surgery (RIRS). Methods: The data of patients who underwent RIRS for kidney stones between January 2018 and June 2022 at two tertiary centers were retrospectively analyzed. Demographic data of patients were obtained. According to kidney disease: Improving Global Outcomes (KDIGO) criteria, those with and without AKI were divided into two groups. Preoperative, intraoperative, and postoperative predictive factors of patients were investigated between the groups. In addition, the influencing factors of AKI were examined by multivariate analysis. Results: This study included 295 (35.7%) women and 532 (64.3%) men. The mean age was 50.03 +/- 15.4 years (range 18-89), and mean stone size was 15.5 +/- 6.1 mm (range 6-47). Overall, 672 of patients (81.3%) were stone-free after the initial treatment. According to KDIGO, 110 of patients (13.3%) had AKI during the postoperative period. Univariate analysis showed that stone size (P=.003), previous stone surgery (P=.010), renal malformations (P=.017), high operative time (P=<.001), high preoperative creatinine value (P=.036), intraoperative complications (P=.018), and postoperative urinary tract infection (P=.003) had significant influence on the AKI after RIRS. Multivariate analysis excluded previous stone surgery, high preoperative creatinine value, renal malformations, and intraoperative complications from the logistic regression model, whereas other factors maintained their statistically significant effect on AKI, indicating that they were independent predictors. Conclusions: Stone size, operative time, postoperative urinary tract infection, and diabetes mellitus are significant predictors of AKI. During RIRS, urologists should consider the factors that increase the risk of AKI and evaluate the treatment outcomes based on these factors.