Prognostic Model for Predicting Survival in Patients with Disease Recurrence Following Radical Cystectomy

Luis A. Kluth, Evanguelos Xylinas, Malte Rieken, Matthew Kent, Masaomi Ikeda, Kazumasa Matsumoto, Masayuki Hagiwara, Eiji Kikuchi, Megan T. Bing, Amit Gupta, Joseph M. Sewell, Badrinath R. Konety, Tilman Todenhöfer, Christian Schwentner, Alexandra Masson-Lecomte, Dimitri Vordos, Florian Roghmann, Joachim Noldus, Aria A. Razmaria, Norm D. SmithEvi Comploj, Armin Pycha, Michael Rink, Jack Baniel, Roy Mano, Giacomo Novara, Atiqullah Aziz, Hans Martin Fritsche, Antonin Brisuda, Trinity Bivalacqua, Paolo Gontero, Stephen A. Boorjian, Andrew J. Vickers, Shahrokh F. Shariat

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

Background: Although the natural history of urothelial carcinoma of the bladder (UCB) from radical cystectomy (RC) to disease recurrence (DR) has been investigated intensively, the course of patients who have experienced DR after RC for UCB remains poorly understood. Objective: To evaluate the prognostic value of the Bajorin criteria that consists of two risk factors: Karnofsky performance status (KPS) and the presence of visceral metastases (VMs) in patients with DR after RC for UCB. Furthermore, to identify additional factors associated with cancer-specific mortality (CSM) and thus build a multivariable model to predict survival after DR. Design, setting, and participants: We identified 967 patients with UCB who underwent RC at 17 centers between 1979 and 2012 and experienced DR. Of these, 372 patients had complete data we used for analysis. Outcomes measurements and statistical analysis: Univariable Cox regressions analysis was performed. We used a forward stepwise selection process for our final multivariable model. Results and limitations: Within a median follow-up of 18 mo, 266 patients died of disease. Cancer-specific survival at 1 yr was 79%, 76%, and 47% for patients with no (n= 105), one (n= 180), and two (n= 87) risk factors (p< 0.001; c-index: 0.604). On multivariable analyses, we found that KPS <80%, higher American Society of Anesthesiologists score, anemia, leukocytosis, and shorter time to DR (all p values <0.034) were independently associated with increased CSM. The combination of time to DR and KPS resulted in improved discrimination (c-index: 0.694). Conclusions: We confirmed the prognostic value of KPS and VMs in patients with DR following RC for UCB. We also found several other clinical variables to be associated with worse CSM. We developed a model for predicting survival after DR inclusive of time to DR and KPS assessed at DR. If validated, this model could help clinical trial design. Patient summary: We developed a model to predict survival following disease recurrence after radical cystectomy for urothelial carcinoma of the bladder, based on time to disease recurrence and Karnofsky performance status. We developed a model to predict survival after disease recurrence based on time to disease recurrence and Karnofsky performance status.

Original languageEnglish (US)
Pages (from-to)75-81
Number of pages7
JournalEuropean Urology Focus
Volume1
Issue number1
DOIs
StatePublished - Aug 1 2015

Keywords

  • Bladder cancer
  • Disease recurrence
  • Metastasis
  • Model
  • Prognosis
  • Survival
  • Transitional cell carcinoma
  • Urothelial carcinoma of the bladder

ASJC Scopus subject areas

  • Urology

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    Kluth, L. A., Xylinas, E., Rieken, M., Kent, M., Ikeda, M., Matsumoto, K., Hagiwara, M., Kikuchi, E., Bing, M. T., Gupta, A., Sewell, J. M., Konety, B. R., Todenhöfer, T., Schwentner, C., Masson-Lecomte, A., Vordos, D., Roghmann, F., Noldus, J., Razmaria, A. A., ... Shariat, S. F. (2015). Prognostic Model for Predicting Survival in Patients with Disease Recurrence Following Radical Cystectomy. European Urology Focus, 1(1), 75-81. https://doi.org/10.1016/j.euf.2014.10.003