A Preoperative Nomogram to Predict Renal Function Insufficiency for Cisplatin-based Adjuvant Chemotherapy Following Minimally Invasive Radical Nephroureterectomy (ROBUUST Collaborative Group).
Document Type
Article
Publication Date
2-3-2021
Publication Title
Eur Urol Focus
Keywords
washington; seattle; swedish
Abstract
BACKGROUND: Postoperative renal function impairment represents a main limitation for delivering adjuvant chemotherapy after radical nephroureterectomy (RNU).
OBJECTIVE: To create a model predicting renal function decline after minimally invasive RNU.
DESIGN, SETTING, AND PARTICIPANTS: A total of 490 patients with nonmetastatic UTUC who underwent minimally invasive RNU were identified from a collaborative database including 17 institutions worldwide (February 2006 to March 2020). Renal function insufficiency for cisplatin-based regimen was defined as estimated glomerular filtration rate (eGFR)/min/1.73 m
OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Using transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) guidelines, a nomogram to predict postoperative eGFR/min/1.73 m
RESULTS AND LIMITATIONS: The model that incorporated age, body mass index, preoperative eGFR, and hydroureteronephrosis was developed with an area under the curve of 0.771, which was confirmed to be 0.773 in the external validation set. The calibration curve demonstrated good agreement. Besides, the model was converted into a risk score with a cutoff value of 0.583, and the difference between the low- and high-risk groups both in overall death risk (hazard ratio [HR]: 4.59, p < 0.001) and cancer-specific death risk (HR: 5.19, p < 0.001) was statistically significant. The limitation mainly lies in its retrospective design.
CONCLUSIONS: A nomogram incorporating immediately available clinical variables can accurately predict renal insufficiency for cisplatin-based adjuvant chemotherapy after minimally invasive RNU and may serve as a tool facilitating patient selection.
PATIENT SUMMARY: We have developed a model for the prediction of renal function loss after radical nephroureterectomy to facilitate patient selection for perioperative chemotherapy.
Clinical Institute
Kidney & Diabetes
Department
Urology
Department
Nephrology
Recommended Citation
Wu, Zhenjie; Chen, Qi; Djaladat, Hooman; Minervini, Andrea; Uzzo, Robert G; Sundaram, Chandru P; Rha, Koon H; Gonzalgo, Mark L; Mehrazin, Reza; Mazzone, Elio; Marcus, Jamil; Danno, Alyssa; Porter, James R; Asghar, Aeen; Ghali, Fady; Guruli, Georgi; Douglawi, Antoin; Cacciamani, Giovanni; Ghoreifi, Alireza; Simone, Giuseppe; Margulis, Vitaly; Ferro, Matteo; Tellini, Riccardo; Mari, Andrea; Srivastava, Abhishek; Steward, James; Al-Qathani, Ali; Al-Mujalhem, Ahmad; Bhattu, Amit Satish; Mottrie, Alexander; Abdollah, Firas; Eun, Daniel D; Derweesh, Ithaar; Veccia, Alessandro; Autorino, Riccardo; and Wang, Linhui, "A Preoperative Nomogram to Predict Renal Function Insufficiency for Cisplatin-based Adjuvant Chemotherapy Following Minimally Invasive Radical Nephroureterectomy (ROBUUST Collaborative Group)." (2021). Articles, Abstracts, and Reports. 4468.
https://digitalcommons.providence.org/publications/4468
