Tae Jin Kim1, In Jae Lee1, Jung Keun Lee1, Hak Min Lee1, Chang Wook Jeong2, Sung Kyu Hong1, Seok-Soo Byun1, Jong Jin Oh3. 1. Department of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 300, Gumi-dong, Bundang-gu, Seongnam, Gyeongi-do, 463-707, Korea. 2. Department of Urology, Seoul National University Hospital, Seoul, Korea. 3. Department of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 300, Gumi-dong, Bundang-gu, Seongnam, Gyeongi-do, 463-707, Korea. bebsuzzang@naver.com.
Abstract
PURPOSE: To investigate the factors associated with hospital readmission (HR) after retrograde intrarenal surgery (RIRS) among renal stone patients. METHODS: The study included patients who underwent RIRS from June 2011 to December 2017. Patients who were readmitted due to surgery-related complications were evaluated retrospectively. Patient demographics including age, medical comorbidity, body mass indices, ASA score, perioperative parameters and stone factors were compared with total cohorts. HR was defined as visits to the Emergency Room or unplanned admission within 30 days after discharge. The factors affecting HR rates were analyzed using uni- and multi-variate analyses. RESULTS: A total of 572 patients were enrolled into the study. The mean age was 57.6 ± 14.1 years and the mean stone diameter was 13.4 ± 6.2 mm. The mean complication rate was 6.1% and the median hospitalization time was 2.1 ± 3.4 days. HR occurred in 20 patients (3.5%). Compared to non-admission patients, readmitted patients had a higher rate of bilateral RIRS (20.0% vs 12.2%, p = 0.035), number of stones (4.65 vs 2.2, p = 0.041) and higher stone complexity score (4.15 vs 2.11, p = 0.003). Multivariate analysis showed bilateral RIRS (OR 1.091, p = 0.031) and stone complexity (OR 1.405, p = 0.003) were significant factors to predict re-admission after RIRS. CONCLUSION: Patients with complex renal stones or those who underwent bilateral RIRS were more likely to have a higher rate of re-admission. Proper perioperative management to prevent complications should be planned based on these predictive factors.
PURPOSE: To investigate the factors associated with hospital readmission (HR) after retrograde intrarenal surgery (RIRS) among renal stonepatients. METHODS: The study included patients who underwent RIRS from June 2011 to December 2017. Patients who were readmitted due to surgery-related complications were evaluated retrospectively. Patient demographics including age, medical comorbidity, body mass indices, ASA score, perioperative parameters and stone factors were compared with total cohorts. HR was defined as visits to the Emergency Room or unplanned admission within 30 days after discharge. The factors affecting HR rates were analyzed using uni- and multi-variate analyses. RESULTS: A total of 572 patients were enrolled into the study. The mean age was 57.6 ± 14.1 years and the mean stone diameter was 13.4 ± 6.2 mm. The mean complication rate was 6.1% and the median hospitalization time was 2.1 ± 3.4 days. HR occurred in 20 patients (3.5%). Compared to non-admission patients, readmitted patients had a higher rate of bilateral RIRS (20.0% vs 12.2%, p = 0.035), number of stones (4.65 vs 2.2, p = 0.041) and higher stone complexity score (4.15 vs 2.11, p = 0.003). Multivariate analysis showed bilateral RIRS (OR 1.091, p = 0.031) and stone complexity (OR 1.405, p = 0.003) were significant factors to predict re-admission after RIRS. CONCLUSION:Patients with complex renal stones or those who underwent bilateral RIRS were more likely to have a higher rate of re-admission. Proper perioperative management to prevent complications should be planned based on these predictive factors.
Authors: Sangam V Kandasami; Charalampos Mamoulakis; Ahmed R El-Nahas; Timothy Averch; O Levent Tuncay; Ashish Rawandale-Patil; Luigi Cormio; Jean J de la Rosette Journal: Eur Urol Date: 2014-07-12 Impact factor: 20.096
Authors: Ravindra B Sabnis; Raguram Ganesamoni; Amit Doshi; Arvind P Ganpule; Jitendra Jagtap; Mahesh R Desai Journal: BJU Int Date: 2013-08 Impact factor: 5.588
Authors: Aksharananda Rambachan; Richard S Matulewicz; Matthew Pilecki; John Y S Kim; Shilajit D Kundu Journal: J Urol Date: 2014-02-08 Impact factor: 7.450