Shinnosuke Kuroda1, Hiroki Ito2, Kentaro Sakamaki3, Tadashi Tabei1, Takashi Kawahara4, Hideyuki Terao1, Atsushi Fujikawa1, Kazuhide Makiyama4, Masahiro Yao4, Junichi Matsuzaki1. 1. Department of Urology, Ohguchi Higashi General Hospital, Yokohama, Japan. 2. Department of Urology, Ohguchi Higashi General Hospital, Yokohama, Japan; Department of Urology, Yokohama City University Hospital, Yokohama, Japan. Electronic address: pug_daikichi@yahoo.co.jp. 3. Department of Biostatistics and Epidemiology, Yokohama City University Medical Center, Yokohama, Japan. 4. Department of Urology, Yokohama City University Hospital, Yokohama, Japan.
Abstract
OBJECTIVE: To identify preoperative predictors and to develop a classification system for predicting success rate after endoscopic combined intrarenal surgery (ECIRS) in the modified Valdivia position for renal stone treatment. PATIENTS AND METHODS: We retrospectively analyzed 329 consecutive, single-session ECIRS procedures undertaken in the modified Valdivia position to treat renal stones. The successful status after surgery was determined at 1 month postoperatively using noncontrast computed tomography and was defined as the absence of stones or residual fragments measuring <4 mm. The preoperative factors analyzed included the stone statuses, which were determined by noncontrast computed tomography, and the patients' characteristics. A multivariate logistic regression model with backward selection was used to evaluate the relationships between the preoperative factors and a successful status after ECIRS, and a classification system was developed to predict a stone-free status based on the preoperative factors. RESULTS: The overall successful outcome rate was 65.3%. Multivariate analysis determined 2 independent predictors of ECIRS outcomes, namely, the stone surface areas (P = .001) and the number of involved calyces (P = .001). These parameters were used to develop the classification system for predicting the successful status after ECIRS. CONCLUSION: Stone surface areas and the number of involved calyces independently predicted the successful status after ECIRS. This is the first study to identify the independent predictors and develop a classification table for predicting success rates after ECIRS in the modified Valdivia position.
OBJECTIVE: To identify preoperative predictors and to develop a classification system for predicting success rate after endoscopic combined intrarenal surgery (ECIRS) in the modified Valdivia position for renal stone treatment. PATIENTS AND METHODS: We retrospectively analyzed 329 consecutive, single-session ECIRS procedures undertaken in the modified Valdivia position to treat renal stones. The successful status after surgery was determined at 1 month postoperatively using noncontrast computed tomography and was defined as the absence of stones or residual fragments measuring <4 mm. The preoperative factors analyzed included the stone statuses, which were determined by noncontrast computed tomography, and the patients' characteristics. A multivariate logistic regression model with backward selection was used to evaluate the relationships between the preoperative factors and a successful status after ECIRS, and a classification system was developed to predict a stone-free status based on the preoperative factors. RESULTS: The overall successful outcome rate was 65.3%. Multivariate analysis determined 2 independent predictors of ECIRS outcomes, namely, the stone surface areas (P = .001) and the number of involved calyces (P = .001). These parameters were used to develop the classification system for predicting the successful status after ECIRS. CONCLUSION: Stone surface areas and the number of involved calyces independently predicted the successful status after ECIRS. This is the first study to identify the independent predictors and develop a classification table for predicting success rates after ECIRS in the modified Valdivia position.
Authors: Vineet Gauhar; Daniele Castellani; Cecilia Maria Cracco; Cesare Marco Scoffone; Ee Jean Lim; Emanuele Rubilotta; Eugenio Pretore; Giacomo Maria Pirola; Martina Maggi; Patrick Rice; Vinson Wai-Shun Chan; Jeremy Yuen-Chun Teoh; Chin-Tiong Heng; Bhaskar Kumar Somani; Maria Pia Pavia Journal: Cent European J Urol Date: 2022-04-29