Pretreatment Risk Stratification for Endoscopic Kidney-sparing Surgery in Upper Tract Urothelial Carcinoma: An International Collaborative Study
Jazyk angličtina Země Švýcarsko Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
34023164
DOI
10.1016/j.eururo.2021.05.004
PII: S0302-2838(21)00328-6
Knihovny.cz E-zdroje
- Klíčová slova
- Kidney-sparing surgery, Radical nephroureterectomy, Risk stratification, Upper tract urothelial carcinoma,
- MeSH
- hodnocení rizik MeSH
- karcinom z přechodných buněk * chirurgie MeSH
- ledviny chirurgie MeSH
- lidé MeSH
- nádory močového měchýře * MeSH
- nádory močovodu chirurgie MeSH
- retrospektivní studie MeSH
- urologické nádory MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
BACKGROUND: Several groups have proposed features to identify low-risk patients who may benefit from endoscopic kidney-sparing surgery in upper tract urothelial carcinoma (UTUC). OBJECTIVE: To evaluate standard risk stratification features, develop an optimal model to identify ≥pT2/N+ stage at radical nephroureterectomy (RNU), and compare it with the existing unvalidated models. DESIGN, SETTING, AND PARTICIPANTS: This was a collaborative retrospective study that included 1214 patients who underwent ureterorenoscopy with biopsy followed by RNU for nonmetastatic UTUC between 2000 and 2017. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We performed multiple imputation of chained equations for missing data and multivariable logistic regression analysis with a stepwise selection algorithm to create the optimal predictive model. The area under the curve and a decision curve analysis were used to compare the models. RESULTS AND LIMITATIONS: Overall, 659 (54.3%) and 555 (45.7%) patients had ≤pT1N0/Nx and ≥pT2/N+ disease, respectively. In the multivariable logistic regression analysis of our model, age (odds ratio [OR] 1.02, 95% confidence interval [CI] 1.0-1.03, p = 0.013), high-grade biopsy (OR 1.81, 95% CI 1.37-2.40, p < 0.001), biopsy cT1+ staging (OR 3.23, 95% CI 1.93-5.41, p < 0.001), preoperative hydronephrosis (OR 1.37 95% CI 1.04-1.80, p = 0.024), tumor size (OR 1.09, 95% CI 1.01-1.17, p = 0.029), invasion on imaging (OR 5.10, 95% CI 3.32-7.81, p < 0.001), and sessile architecture (OR 2.31, 95% CI 1.58-3.36, p < 0.001) were significantly associated with ≥pT2/pN+ disease. Compared with the existing models, our model had the highest performance accuracy (75% vs 66-71%) and an additional clinical net reduction (four per 100 patients). CONCLUSIONS: Our proposed risk-stratification model predicts the risk of harboring ≥pT2/N+ UTUC with reliable accuracy and a clinical net benefit outperforming the current risk-stratification models. PATIENT SUMMARY: We developed a risk stratification model to better identify patients for endoscopic kidney-sparing surgery in upper tract urothelial carcinoma.
Brady Urological Institute and Department of Urology Johns Hopkins Medicine Baltimore MD USA
Department of Genitourinary Oncology Moffitt Cancer Center Tampa FL USA
Department of Urology Careggi Hospital University of Florence Florence Italy
Department of Urology Jagiellonian University Medical College Krakow Poland
Department of Urology Jikei University School of Medicine Tokyo Japan
Department of Urology MD Anderson Cancer Center Houston TX USA
Department of Urology Medical University of Vienna Vienna Austria
Department of Urology Seoul National University Hospital Seoul Korea
Department of Urology University Hospitals Leuven Leuven Belgium
Department of Urology University of Rennes Rennes France
Department of Urology University of Texas Southwestern Medical Center Dallas TX USA
Department of Urology Uro Oncology University Hospital Cologne Cologne Germany
Division of Urology McGill University Health Center McGill University Montreal Canada
Division of Urology VCU Health Richmond VA USA
Instituto Valenciano de Oncologia Foundation Valencia Spain
Urology GRC 5 Predictive ONCO URO Pitié Salpêtrière Hospital AP HP Sorbonne University Paris France
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