ABSTRACT
INTRODUCTION: The Modified Seoul National University Renal Stone Complexity Score (S-ReSC) is a simple model based solely on stone location regardless of stone burden. The aims of this study were to validate S-ReSC for outcomes and complications of retrograde intrarenal surgery (RIRS) and to evaluate its predictive power against the stone burden. MATERIAL AND METHODS: Data of 1007 patients with kidney stones who had undergone RIRS were collected from our RIRSearch database. Linear-by-linear association, logistic regression, ANOVA/post hoc analysis and ROC curve (with Hanley and McNeil's test) were used for evaluation. The main outcomes were stone-free status and complications of RIRS. RESULTS: The overall stone-free rate was 76.8% (773/1007). Higher S-ReSC scores were related to lower stone-free rates and higher total, perioperative and postoperative complication rates (p<.001, p<.001, p=.008 and p<.001, respectively). S-ReSC score (p=.02) and stone burden (p<.001) were independent predictors of stone-free status. But stone burden (AUC = 0.718) had a more powerful discriminating ability than the S-ReSC score (AUC = 0.618). CONCLUSIONS: The S-ReSC score is able to predict not only stone-free status but also complications of RIRS. Although this location-only based scoring system has a fair discriminative ability, stone burden is a more powerful predictor of stone-free status after RIRS. An ideal scoring system aiming to predict outcomes of RIRS must include stone burden as a parameter.
Subject(s)
Kidney Calculi , Humans , Kidney Calculi/surgery , Logistic Models , Postoperative Complications/epidemiology , Retrospective Studies , Seoul , Treatment Outcome , UniversitiesABSTRACT
Purpose: Retrograde intrarenal surgery (RIRS) is a safe and effective treatment option for upper urinary tract stones smaller than 2 cm. Although several studies have documented perioperative and postoperative complications related to RIRS, there exists limited data regarding the readmission and rehospitalization of patients after RIRS. The aims of the study were to document the rates of readmission and rehospitalization after RIRS and to determine the predictive factors for readmission and rehospitalization. Materials and Methods: In this study, we retrospectively analyzed patients who underwent RIRS for the treatment of renal stone disease and were unexpectedly readmitted to the hospital within 30 days after discharge. The hospital admission systems were used to determine readmissions and rehospitalizations. Readmission and rehospitalization rates, causes, and treatment procedures were evaluated. Univariate and multivariate analyses of clinicodemographic properties were performed to evaluate possible predictive factors for readmission and rehospitalization after RIRS. Results: A total of 1036 patients were included in the study. Of these patients, 103 (9.9%) were readmitted to the hospital. Among these readmissions, 35 patients (33.9%) were rehospitalized and 14 (13.6%) underwent surgical intervention. The most common reasons for readmission were renal colic and fever. The presence of preoperative pyuria (odds ratio [OR] 1.86), stone volume (OR 1.54), postoperative complications (OR 3.66), and stone-free status (OR 0.46) were predictive factors for readmission, whereas hospitalization time (OR 1.32), postoperative complications (OR 9.70), and stone-free status (OR 0.06) were predictive factors for rehospitalization after RIRS. Conclusion: Nearly 10% of patients who underwent RIRS were readmitted to the hospital within the first month after discharge, and some were rehospitalized. Preoperative pyuria, high stone volume, presence of postoperative complications, and low stone-free status predicted this readmission and rehospitalization. Clinicians must recognize these predictive factors and inform their patients about this possibility.
