OBJECTIVES: The present study investigated prognostic indicators, including clinicopathological and preoperative hematological factors, and developed a prognostic factor-based risk stratification model in bladder cancer patients treated with radical cystectomy. METHODS: Data were collected from 249 consecutive bladder cancer patients treated with radical cystectomy without neoadjuvant therapy. Prognostic values of the preoperative hematological parameters, along with the patients' clinicopathological parameters were evaluated. A risk stratification model was developed to predict disease-specific survival after radical cystectomy using the regression coefficients of multivariate analysis. RESULTS: In the multivariate analysis, preoperative hemoglobin and C-reactive protein levels, as well as the pathological factors of T stage, positive surgical margin and lymph node metastasis, were independently predictive of disease-specific survival. Low hemoglobin (<10.5 g/dL), a high C-reactive protein (>0.5 mg/dL), extravesical T stage (≥pT3a) and positive surgical margin were independent predictors of poor disease-specific survival. The risk stratification model showed significant differences in disease-specific survival between the three subgroups. CONCLUSIONS: This is the first report to show the significance of combining preoperative hemoglobin with the pathology of radical cystectomy specimens as an independent predictor for disease-specific survival, and it also represents the largest contemporary series to date demonstrating that two types of preoperative hematological disorders, assessed by hemoglobin and C-reactive protein, are independent predictors in bladder cancer patients treated with radical cystectomy. Our risk stratification model could provide physicians with useful prognostic information for identifying patients who might be candidates for multimodal treatments.
OBJECTIVES: The present study investigated prognostic indicators, including clinicopathological and preoperative hematological factors, and developed a prognostic factor-based risk stratification model in bladder cancerpatients treated with radical cystectomy. METHODS: Data were collected from 249 consecutive bladder cancerpatients treated with radical cystectomy without neoadjuvant therapy. Prognostic values of the preoperative hematological parameters, along with the patients' clinicopathological parameters were evaluated. A risk stratification model was developed to predict disease-specific survival after radical cystectomy using the regression coefficients of multivariate analysis. RESULTS: In the multivariate analysis, preoperative hemoglobin and C-reactive protein levels, as well as the pathological factors of T stage, positive surgical margin and lymph node metastasis, were independently predictive of disease-specific survival. Low hemoglobin (<10.5 g/dL), a high C-reactive protein (>0.5 mg/dL), extravesical T stage (≥pT3a) and positive surgical margin were independent predictors of poor disease-specific survival. The risk stratification model showed significant differences in disease-specific survival between the three subgroups. CONCLUSIONS: This is the first report to show the significance of combining preoperative hemoglobin with the pathology of radical cystectomy specimens as an independent predictor for disease-specific survival, and it also represents the largest contemporary series to date demonstrating that two types of preoperative hematological disorders, assessed by hemoglobin and C-reactive protein, are independent predictors in bladder cancerpatients treated with radical cystectomy. Our risk stratification model could provide physicians with useful prognostic information for identifying patients who might be candidates for multimodal treatments.
Authors: Matteo Ferro; Ottavio De Cobelli; Carlo Buonerba; Giuseppe Di Lorenzo; Marco Capece; Dario Bruzzese; Riccardo Autorino; Danilo Bottero; Antonio Cioffi; Deliu Victor Matei; Michele Caraglia; Marco Borghesi; Ettore De Berardinis; Gian Maria Busetto; Riccardo Giovannone; Giuseppe Lucarelli; Pasquale Ditonno; Sisto Perdonà; Pierluigi Bove; Luigi Castaldo; Rodolfo Hurle; Gennaro Musi; Antonio Brescia; Michele Olivieri; Amelia Cimmino; Vincenzo Altieri; Rocco Damiano; Francesco Cantiello; Vincenzo Serretta; Sabino De Placido; Vincenzo Mirone; Guru Sonpavde; Daniela Terracciano Journal: Medicine (Baltimore) Date: 2015-10 Impact factor: 1.817