Using a predictive model to routinely obtain preoperative factors can estimate the risk of postoperative complication after primary cytoreductive surgery among elderly patients with ovarian cancer, according to a study of 2,101 patients with ovarian cancer, including 35.9% of whom were aged >65 years. The study found:
• Among women aged >65 years, the rate of major postoperative complication was 16.4%.
• Complications were directly associated with preoperative laboratory values, ascites, white race, and smoking status, and indirectly with albumin.
• Model sensitivity was 9.8% and specificity was 98%.
• Predictive model can be used to assess risk, manage postoperative expectations, and make decisions regarding initial treatment.
Citation: Barber EL, Rutstein S, Miller WC, Gehrig PA. A preoperative personalized risk assessment calculator for elderly ovarian cancer patients undergoing primary cytoreductive surgery. [Published online ahead of print September 29, 2015]. Gynecol Oncol. doi: 10.1016/j.ygyno.2015.09.080.