Zusammenfassung
Aim of the study: To assess the impact of perioperative platelet count (PLT) kinetics on recurrence-free survival (RFS) after radical nephroureterectomy (RNU) for upper tract urothelial carcinoma (UTUC). Methods: From three prospectively maintained databases of three tertiary care centres a total of 269 patients undergoing RNU without perioperative treatment between 1996 and 2011 were considered ...
Zusammenfassung
Aim of the study: To assess the impact of perioperative platelet count (PLT) kinetics on recurrence-free survival (RFS) after radical nephroureterectomy (RNU) for upper tract urothelial carcinoma (UTUC). Methods: From three prospectively maintained databases of three tertiary care centres a total of 269 patients undergoing RNU without perioperative treatment between 1996 and 2011 were considered for this analysis. Pre- and postoperatively elevated PLT count was defined as >400 x 10(9)/L. PLT levels were measured 1-3 days preoperatively and 7-10 days postoperatively. The median follow-up was 24 months (Interquartile range (IQR): 10-52). A new weighted scoring model was developed to predict recurrence after RNU based on significant parameters of multivariable analysis. Results: The 5-year RFS in patients with preoperatively normal and elevated PLT count was 58.3% and 29.3%, respectively (p < 0.001). The 5-year-RFS was 57.6% in patients with normal postoperative PLT count and 29.7% in those with elevated PLT levels (p < 0.001). In multivariable analysis, pT-stage, lymphovascular invasion, ureteral margin status and postoperative thrombocytosis remained independent predictors for RFS. The 5-year RFS in patients with a score of 0 (low-risk), 1 (intermediate-risk) and 2-4 (high-risk) was 77.7%, 47.5% and 12.3%, respectively (p < 0.001). Consideration of the variable postoperative thrombocytosis in the final model increased its predictive accuracy by 1.9% with a concordance index of 0.758 (p = 0.015). Conclusion: PLT kinetics is significantly associated with RFS after RNU for UTUC. We constructed a simple, PLT-based prognostic model for recurrence after RNU. (C) 2014 Elsevier Ltd. All rights reserved.