Home
Abstract
My Abstract(s)
Login
ePosters
Back
Final Presentation Format
Non-Moderated Poster Abstract
Eposter Presentation
Eposter in PDF Format
https://storage.unitedwebnetwork.com/files/1237/1e8b2ef5ff2a4bfdaa9c5c79c04417c1.pdf
Accept format: PDF. The file size should not be more than 5MB
Eposter in Image Format
https://storage.unitedwebnetwork.com/files/1237/9008ff359e5e3c20d018ba03007ce30e.jpg
Accept format: PNG/JPG/WEBP. The file size should not be more than 2MB
Presentation Date / Time
Submission Status
Submitted
Abstract
Abstract Title
Optimizing complication prediction in retrograde intrarenal surgery (RIRS): Insights from various scoring systems (GUY's, S.T.O.N.E., CROES, R.I.R.S., SMASH score)
Presentation Type
Podium Abstract
Manuscript Type
Clinical Research
Abstract Category *
Endourology: Urolithiasis
Author's Information
Number of Authors (including submitting/presenting author) *
5
No more than 10 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Country
Taiwan
Co-author 1
Shao-Chen Su karta1469356@gmail.com Tung's taichung metroharbor hospital Department of Urology Taichung City Taiwan *
Co-author 2
Yi-Sheng Lin tung12197@gmail.com Tung's taichung metroharbor hospital Department of Urology Taichung City Taiwan -
Co-author 3
Chao-Yu Hs jowyu@msn.com Tung's taichung metroharbor hospital Department of Urology Taichung City Taiwan -
Co-author 4
Yen-Chuan Ou ycou228@gmail.com Tung's taichung metroharbor hospital Department of Urology Taichung City Taiwan -
Co-author 5
Min-Che T tungminche@gmail.com Tung's taichung metroharbor hospital Department of Urology Taichung City Taiwan -
Co-author 6
Co-author 7
Co-author 8
Co-author 9
Co-author 10
Co-author 11
Co-author 12
Co-author 13
Co-author 14
Co-author 15
Co-author 16
Co-author 17
Co-author 18
Co-author 19
Co-author 20
Abstract Content
Introduction
Many studies have focused on different scoring systems to predict stone-free status following endourological procedures. However, it remains unclear whether these systems can be applied to predict postoperative complications. In this study, we aim to evaluate five preoperative scoring systems for predicting complication rates after retrograde intrarenal surgery (RIRS).
Materials and Methods
We retrospectively analyzed patients who underwent RIRS from January to December 2023 at a single institution. Preoperative CT scans were used to assign scores using five systems (Guy's, S.T.O.N.E., CROES, R.I.R.S., SMASH). Postoperative complications were graded per the Clavien-Dindo classification. We compared complication and non-complication groups using standard statistical methods and performed univariate and multivariate logistic regression analyses. Areas under the curves (AUC) for Receiver Operating Characteristic (ROC) curves were calculated to assess each scoring system's predictive value.
Results
A total of 115 patients were included, with an overall complication rate of 31.3%. Most complications were grade I or II, such as fever and urinary tract infection. Three patients experienced bacteremia, and one had septic shock requiring intensive care. Hematomas were noted in two patients, one needing transcatheter arterial embolization. Only the CROES score differed significantly between groups (p=0.0166). Logistic regression indicated no significant association between the scoring systems and complication rates. AUC values for ROC curves were low: 0.608 (Guy's), 0.598 (S.T.O.N.E.), 0.407 (CROES), 0.573 (R.I.R.S.), and 0.584 (SMASH).
Conclusions
Despite a significant difference in the CROES score, none of the five scoring systems effectively predicted postoperative complications. Further research is needed to develop a new model based on these systems for better predictive performance.
Keywords
RIRS; complication; scoring systems; CT scan
Figure 1
https://storage.unitedwebnetwork.com/files/1237/7161310d8e2117cb1696ed942ae3f2e7.jpg
Figure 1 Caption
Patient demographics, complications, and the five scoring systems (Guy's, S.T.O.N.E., CROES, R.I.R.S., SMASH)
Figure 2
https://storage.unitedwebnetwork.com/files/1237/61f3eadf9bd17f9c06f21c97edce8783.jpg
Figure 2 Caption
AUC of ROC for the five scoring systems to predict the postoperative complication rate
Figure 3
Figure 3 Caption
Figure 4
Figure 4 Caption
Figure 5
Figure 5 Caption
Character Count
1622
Vimeo Link
Presentation Details
Session
Date
Time
Presentation Order
0