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You have accessJournal of UrologyStone Disease: Surgical Therapy (including ESWL) I (MP04)1 May 2024MP04-15 A COMPARISON OF S.T.O.N.E NEPHROLITHOMETRY SCORING SYSTEM, GUY'S STONE SCORE AND SEOUL NATIONAL UNIVERSITY RENAL STONE COMPLEXITY (S-RESC) IN PREDICTING MINI-PCNL STONE FREE RATE Hsiang ying Lee and Yi Hsuan Y. Chen Hsiang ying LeeHsiang ying Lee and Yi Hsuan Y. ChenYi Hsuan Y. Chen View All Author Informationhttps://doi.org/10.1097/01.JU.0001008708.00982.a9.15AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Percutaneous Nephrolithotomy (PCNL) has been a standard treatment for patients with complex renal stones or upper ureteral stones for a long time and several stone scores pending on the stone characteristic were established to predict the stone free rate. There are studies to compare the efficacy of different stone score systems (S.T.O.N.E nephrolithometry scoring system (STONE), Guy's stone score(GSS) and Seoul National University Renal Stone Complexity (S-ReSC)). Mini-percutaneous nephrolithotomy (Mini-PCNL), which is a more minimal invasive technique has become more popular with less blood loss, less pain and comparable stone free rate to traditional PCNL. The main goal of the study is to evaluate the three stone score systems for mini-PCNL stone free rate prediction. METHODS: A total of 72 patients received mini-PCNL from February, 2018 to October, 2020 were retrospectively analyzed. The enrolled patients were divided into stone free and not stone free groups. The clinical characteristics of patients, stone characteristics were compared between two groups. The stone free rate, complication rates, hospitalization days and recurrence rates were analyzed using three stone score systems (STONE, GSS and S-ReSC). Post-operation stone free is defined as residual stone <4mm. The predictive accuracy and comparison of the three stone score systems was assessed using logistic regression. RESULTS: The area under curve (AUC) of STONE , GSS, and S-ReSC were 0.69 (p=0.005), 0.56 (p=0.34) and 0.62 (p=0.0.02) (Table 2.) and akaike information criterion (AIC) of STONE, GSS, and S-ReSC were 75.9, 84.08 and 77.75 respectively. After adjusting the variables (age and BMI), the area under curve (AUC) of STONE , GSS, and S-ReSC were 0.86 (p=0.0045), 0.78 (p=0.45) and 0.81 (p=0.0.049) and akaike information criterion (AIC) of STONE, GSS, and S-ReSC were 64.65, 74.89 and 69.92 respectively. The accuracy rate of STONE, GSS and S-ReSC were 0.81, 0.75, 0.79, respectively. The results showed that STONE and S-ReSC are able to predict the SFR of mini-PCNL and STONE is superior to S-ReSC. There was no statistically difference of predicting stone recurrence (p=0.46, 0.53, 0.86), complications (p=0.74, 0.51, 0.16) and hospitalization days (p=0.77, 0.86, 0.87) in STONE, GSS, and S-ReSC respectively. CONCLUSIONS: Both the STONE and S-ReSC stone score systems are viable for predicting the stone free rate following mini-PCNL, especially after variable adjustment with the STONE system demonstrating superiority over S-ReSC. However, the GSS may not be suitable for accurately predicting the mini-PCNL stone free rate even after adjusting the variables. Source of Funding: No © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e40 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Hsiang ying Lee More articles by this author Yi Hsuan Y. Chen More articles by this author Expand All Advertisement PDF downloadLoading ...
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