External validation of the current scoring systems and development of a novel scoring system to predict stone-free rates after retrograde intrarenal surgery in patients with cumulative stone diameter of 2-4 cm

被引:0
作者
Polat, S. [1 ]
Danacioglu, Y. O. [2 ]
Yarimoglu, S. [3 ]
Soytas, M. [4 ]
Erdogan, A. [5 ]
Teke, K. [6 ]
Degirmenci, T. [3 ]
Tasci, A. I. [2 ]
机构
[1] Amasya Univ, Fac Med, Urol Dept, Amasya, Turkiye
[2] UHC Istanbul Bakirkoy Sadi Konuk Training & Res Ho, Urol Dept, Estambul, Turkiye
[3] UHC Izmir Bozyaka Training & Res Hosp, Urol Dept, Bozyaka, Turkiye
[4] Istanbul Medipol Univ, Urol Dept, Estambul, Turkiye
[5] UHC Istanbul Umraniye Training & Res Hosp, Urol Dept, Estambul, Turkiye
[6] Kocaeli Univ, Fac Med, Urol Dept, Kocaeli, Turkiye
来源
ACTAS UROLOGICAS ESPANOLAS | 2023年 / 47卷 / 04期
关键词
Urolithiasis; Large renal stones; Flexible ureterorenoscopy; Lithotripsy; Scoring system; FLEXIBLE URETEROSCOPY; LASER LITHOTRIPSY; BURDEN;
D O I
10.1016/j.acuro.2022.04.011
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Objective: Our primary aim is to perform the external validation of the current scoring systems in predicting stone-free status (SFS) after retrograde intrarenal surgery (RIRS) for renal stones 2-4 cm and develop a novel scoring system by re-examining possible predictive factors related to SFS.Methods: Patients who underwent RIRS due to renal stones with a cumulative stone diameter of 2-4 cm between January 2017 and March 2021 were retrospectively screened. Residual stones <= 2 mm were defined as clinically insignificant, and these cases were considered to have SFS. Possible predictive factors related to SFS were examined using the multivariate logistic regres-sion analysis. A nomogram and a scoring system were developed using independent predictive variables. The prediction ability of the previous and the new scoring system were evaluated with the ROC analysis.Results: The existing scoring systems were found to be insufficient in predicting SFS (AUC < 0.660 for all). The independent predictors of SFS were identified as stone surface area (OR: 0.991, p < 0.001), stone density (OR: 0.998, p < 0.001), number of stones (OR: 0.365, p = 0.033), and stone localization (p = 0.037). Using these predictive markers, a new scoring system with a score ranging between 4 and 15 was developed. The AUC value for this scoring system was 0.802 (0.734-0.870).Conclusion: The RUSS, S-ReSC and RIRS scoring systems and Ito's nomogram failed to predict SFS in stones > 2 cm. The SFS predictive ability of our new scoring system was higher in > 2 cm stones compared to the other scoring systems.(c) 2022 AEU. Published by Elsevier Espana, S.L.U. All rights reserved.
引用
收藏
页码:211 / 220
页数:10
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