Predictive model for major complications after extensive abdominal surgery in primary advanced ovarian cancer

Int J Womens Health. 2019 Mar 7:11:161-167. doi: 10.2147/IJWH.S190493. eCollection 2019.

Abstract

Background: Surgery for advanced ovarian cancer (AOC) frequently results in serious complications. The present study aimed to determine the importance of various factors and complications in cytoreductive surgery for AOC.

Patients and methods: The present study included 90 patients with AOC who underwent primary cytoreductive surgery in a single institution from January 2013 to August 2017. Demographic and clinicopathologic characteristics, surgical procedures, residual disease, and follow-up data were analyzed. Cytoreductive surgery was defined as complete (no residual tumor), optimal (residual tumor <1 cm in diameter), and suboptimal (residual tumor >1 cm in diameter). Grade III-IV complications were considered major. Patients were evaluated every 3-6 months.

Results: Surgical outcome was complete in 75 (82%), optimal in 5 (6%), and suboptimal in 11 (12%) patients. Major complications occurred in 28 (31%) patients. Independent risk factors for major complications were ≥five visceral resections, rectosigmoid resection, glissectomy, and pelvic peritonectomy. A score created by weighing the multivariate OR for each risk factor correctly predicted major complications in 67% of cases. A score cut-off of >2 discriminated between patients with and without complications in 79% of cases (95% CI: 70%-86%, P<0.001). Adjuvant chemotherapy was performed as planned in 67 patients (74%), including 50 (75%) without major complications and 17 (25%) with major complications.

Conclusion: Risk factors for major complications in cytoreductive surgery for AOC are ≥five visceral resections, rectosigmoid resection, glissectomy, and pelvic peritonectomy. Our model predicts morbidity based on major and minor classifications of complications.

Keywords: advanced ovarian cancer; carcinomatosis; complications; cytoreductive surgery; debulking surgery; morbidity; peritoneal cancer index; predictive model; residual tumor.