Development of a predictive risk score for 1-year intravesical recurrence after radical nephroureterectomy for upper tract urothelial carcinoma.

IF 1.7 Q3 UROLOGY & NEPHROLOGY
Central European Journal of Urology Pub Date : 2025-01-01 Epub Date: 2025-11-26 DOI:10.5173/ceju.2025.0191
Rıdvan Kayar, Kemal Kayar, İlker Artuk, Samet Demir, Emre Erdoğan, Emre Tokuc, Metin Öztürk
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引用次数: 0

Abstract

Introduction: The study aims to develop and internally validate a novel risk stratification model specifically designed to predict 1-year intravesical recurrence (IVR) following radical nephroureterectomy (RNU) for upper tract urothelial carcinoma (UTUC), integrating readily available clinicopathologic parameters.

Material and methods: We retrospectively analyzed 87 patients who underwent RNU for UTUC between 2012 and 2024. Patients were stratified according to IVR status at 12 months postoperatively. Univariate and LASSO logistic regression analyses were conducted to identify independent predictors. A simplified risk score was derived from regression coefficients. Model performance was assessed using area under the ROC curve (AUC), calibration plots, and bootstrap validation. Clinical utility was evaluated with decision curve analysis (DCA).

Results: One-year IVR occurred in 34 patients (39.1%). Seven independent predictors were identified: tumor multifocality, ureteral tumor location, history of non-muscle-invasive bladder cancer, chronic kidney disease, preoperative ureteroscopy, intravesical bladder cuff excision, and positive surgical margins. The final model showed excellent discriminative performance (AUC = 0.854) and good calibration. Patients were stratified into low (0-2 points), intermediate (3-5), and high-risk (6-9) groups, with IVR rates of 11.1%, 53.7%, and 80.0%, respectively (p for trend <0.001). DCA demonstrated a favorable net benefit across a wide range of thresholds.

Conclusions: We present a novel, internally validated scoring system that integrates routine clinicopathologic parameters to predict early IVR following RNU for UTUC. This tool may support urologists in implementing risk-adapted cystoscopic surveillance protocols and identifying candidates for early intravesical therapy. External validation is warranted prior to clinical implementation.

上尿路上皮癌根治性肾输尿管切除术后1年膀胱内复发预测风险评分的发展。
本研究旨在开发并内部验证一种新的风险分层模型,该模型专门用于预测上尿路上皮癌(UTUC)根治性肾输尿管切除术(RNU)后1年膀胱内复发(IVR),整合现有的临床病理参数。材料和方法:我们回顾性分析了2012年至2024年间接受RNU治疗UTUC的87例患者。根据术后12个月的IVR状态对患者进行分层。进行单变量和LASSO逻辑回归分析以确定独立预测因子。通过回归系数得到简化的风险评分。使用ROC曲线下面积(AUC)、校准图和bootstrap验证来评估模型的性能。采用决策曲线分析(DCA)评价临床疗效。结果:1年内发生IVR 34例(39.1%)。确定了7个独立的预测因素:肿瘤多灶性、输尿管肿瘤位置、非肌肉侵袭性膀胱癌病史、慢性肾脏疾病、术前输尿管镜检查、膀胱袖口切除术和手术切缘阳性。最终模型具有良好的判别性能(AUC = 0.854)和良好的定标性。患者被分为低(0-2分)、中(3-5分)和高风险(6-9分)组,IVR率分别为11.1%、53.7%和80.0% (p为趋势)。结论:我们提出了一种新颖的、内部验证的评分系统,该系统集成了常规临床病理参数,以预测UTUC RNU后早期IVR。该工具可以支持泌尿科医生实施风险适应膀胱镜监测方案,并确定早期膀胱内治疗的候选方案。在临床实施前需要进行外部验证。
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来源期刊
Central European Journal of Urology
Central European Journal of Urology UROLOGY & NEPHROLOGY-
CiteScore
2.30
自引率
8.30%
发文量
48
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