PREDICTION SCORES FOR COMPLICATION AND RECURRENCE AFTER MULTIVISCERAL RESECTION IN GASTRIC CANCER

Background:Multivisceral resection (MVR) is indicated in T4b gastric cancer (GC) when R0 can be achieved. Patient's selection for MVR is imperative, since it carries an increased risk for postoperative complications (POC) and disease recurrence. This study aims to elaborate prediction scores for POC and recurrence after MVR for cT4b GC. Methods:Patients who underwent MVR with curative intent due to cT4b gastric adenocarcinoma were selected from our prospective database. Scoring models were based on the variables identified as risk factors for the studied outcome. Through binary regression the model that best predicted the outcome was created. Results:From 237 MVRs, 58 fulfilled the inclusion criteria. Males were 70.7%, mean age was 61.8 years. A pT4b was confirmed in 34 patients, 29 had 2 or more adjacent organs removed. Major POC occurred in 25.9%, mortality was 8.6%. Overall survival (OS) and disease-free survival (DFS) were similar for pT4b and non-pT4b. DFS was worse for pN+ and when >2 adjacent organs were removed. Scoring models included 5 and 6 parameters for POC and recurrence, respectively, and their accuracy was 80.6% (95%CI=0.69-0.92) and 78% (95%CI=0.66-0.90). The POC and recurrence rates in low- and high-score groups were statistically different (p<0.001 and p=0.004, respectively). Patients with high-risk for POC had lower OS (p=0.036) and DFS was worse in the high-recurrence risk group (p=0.008). Conclusion:The proposed scoring systems accurately predict POC and recurrence in GC patients undergoing MVR. These models are easy to use and can assist in the adoption of an individualized approach.

Publication History

Article published online:
23 October 2019