ecancermedicalscience

Research

Muscle invasive bladder cancer and radical cystectomy: a risk predictive model

18 Oct 2022
Mohamad Ali Tfaily, Hani Tamim, Albert El Hajj, Deborah Mukherji

Background: Radical cystectomy (RC) for muscle invasive bladder cancer (MIBC) remains the historical gold standard for treatment despite significant perioperative morbidity and subsequent quality of life concerns. Trimodal therapy (TMT) is gaining acceptance as an alternative bladder preserving approach. We aim to identify patients for whom TMT may be the optimal approach by constructing risk calculators of morbidity and mortality associated with RC.

Methods: Using the American College of Surgeons National Surgical Quality Improvement Program database, we selected patients diagnosed with MIBC undergoing RC, with a total of 10,642 patients identified. The primary outcome was mortality and secondary outcome was morbidity within 30 days of the procedure. We conducted multivariate logistic regression to obtain the best fit model for each outcome on 70% of the sample. Validation of the models was then performed on the remaining 30% of the sample. Model performance was assessed using discrimination and calibration abilities and a risk calculator was constructed for pre-operative counselling.

Results: Of the full cohort, 199 patients (1.9%) died and 2,328 patients (21.9%) experienced morbidity. Variables selected for the model predicting mortality included age, frailty, the American Society of Anesthesiologists status and preoperative creatinine. For the mortality model, the area under the curve was 72% with a Hosmer–Lemeshow statistic of 0.722. For the morbidity model, the area under the curve was 60% with a Hosmer–Lemeshow statistic of 0.287. Variables significant in the model included continent diversion, smoking and frailty.

Conclusion: We have constructed statistically significant and clinically relevant models using readily available health indicators to be used in multi-disciplinary discussion to provide high-risk patients with individualised risks of morbidity and mortality from RC, allowing for counselling for alternative treatments such as TMT.

Related Articles

Annesha Chakraborti, Badira Cheriyalinkal Parambil, Venkata Rama Mohan Gollamudi, Maya Prasad, Siddhartha Laskar, Nehal Khanna, Jifmi Jose Manjali, Sajid Qureshi, Mukta Ramadwar, Poonam Panjwani, Akshay Baheti, Vasundhara Patil, Sneha Shah, Girish Chinnaswamy
Sandy Minck, Gerda Evans, Marie Lowe, Cindy Schultz-Ferguson, Catherine Woulfe, Kym Berchtenbreiter, Krysty Sullivan, Ann White, Lynette Moore, Susan Jarvis, Wendy V Ingman, Jennifer Stone
Md Foorquan Hashmi, Fiza Khan, Elen Baloyan, Liana Safaryan, Davit Zohrabyan, Gevorg Tamamyan, Samvel Bardakhchyan
Marco Aurélio Bertúlio das Neves, Noemi Dreyer Galvão, Fernanda Cristina da Silva de Lima, Júlio Fernando Pinto Oliveria, Sancho Pedro Xavier, Ageo Mário Cândido da Silva
Carlos Gómez Calcetero, Juanita Granados Diaz, Adriana Aya Porto, Andres Forero Romero, Maria López Mora, Paola Omaña Orduz, Jorge Daza Buitrago, Maira Murcia Linares, Viriginia Abello Polo
David E Gonzalez-Mendoza, Paulina P Rabago-Sanchez, Gabriel Conzuelo-Rodriguez, Angel Gomez-Villanueva