External validation of Modified Seoul National University Renal Stone Complexity Score to predict outcome and complications of retrograde intrarenal surgery: a RIRSearch Group study

dc.authoridOZDEN, SAMI BERK/0000-0002-3000-9749
dc.authoridOnal, Bulent/0000-0003-0540-2693
dc.contributor.authorOzman, Oktay
dc.contributor.authorBasatac, Cem
dc.contributor.authorAkgul, Haci Murat
dc.contributor.authorCinar, Onder
dc.contributor.authorSancak, Eyup Burak
dc.contributor.authorOzden, Sami Berk
dc.contributor.authorElmaagac, Burak
dc.date.accessioned2025-01-27T21:13:27Z
dc.date.available2025-01-27T21:13:27Z
dc.date.issued2022
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractIntroduction 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.
dc.identifier.doi10.1080/13645706.2021.2025112
dc.identifier.endpage922
dc.identifier.issn1364-5706
dc.identifier.issn1365-2931
dc.identifier.issue6
dc.identifier.pmid35100522
dc.identifier.scopus2-s2.0-85124820448
dc.identifier.scopusqualityQ2
dc.identifier.startpage917
dc.identifier.urihttps://doi.org/10.1080/13645706.2021.2025112
dc.identifier.urihttps://hdl.handle.net/20.500.12428/28425
dc.identifier.volume31
dc.identifier.wosWOS:000750075400001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofMinimally Invasive Therapy & Allied Technologies
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20250125
dc.subjectKidney stone
dc.subjectretrograde intrarenal surgery
dc.subjectscoring system
dc.subjectstone burden
dc.subjecturolithiasis
dc.titleExternal validation of Modified Seoul National University Renal Stone Complexity Score to predict outcome and complications of retrograde intrarenal surgery: a RIRSearch Group study
dc.typeArticle

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