AUTHOR=Pang Hua-Yang , Zhao Lin-Yong , Wang Hui , Chen Xiao-Long , Liu Kai , Zhang Wei-Han , Yang Kun , Chen Xin-Zu , Hu Jian-Kun TITLE=Impact of Type of Postoperative Complications on Long-Term Survival of Gastric Cancer Patients: Results From a High-Volume Institution in China JOURNAL=Frontiers in Oncology VOLUME=11 YEAR=2021 URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2021.587309 DOI=10.3389/fonc.2021.587309 ISSN=2234-943X ABSTRACT=Background

This study aimed to evaluate the impact of postoperative complication and its etiology on long-term survival for gastric cancer (GC) patients with curative resection.

Methods

From January 2009 to December 2014, a total of 1,667 GC patients who had undergone curative gastrectomy were analyzed. Patients with severe complications (SCs) (Clavien–Dindo grade III or higher complications or those causing a hospital stay of 15 days or longer) were separated into a “complication group.” Univariate and multivariate analyses were performed to reveal the relationship between postoperative complications and long-term survival. A 2:1 propensity score matching (PSM) was used to balance baseline parameters between the two groups.

Results

SCs were diagnosed in 168 (10.08%) patients, including different etiology: infectious complications (ICs) in 111 (6.66%) and non-infectious complications (NICs) in 71 (4.26%) patients. Multivariate analysis showed that presence of SCs (P=0.001) was an independent prognostic factor for overall survival, and further analysis by complication type demonstrated that the deteriorated overall survival was mainly caused by ICs (P=0.004) rather than NICs (P=0.068). After PSM, patients with SCs (p=0.002) still had a significantly decreased overall survival, and the presence of ICs (P=0.002) rather than NICs (P=0.067) showed a negative impact on long-term survival.

Conclusion

Serious complications, particularly of an infectious type, may have a negative impact on overall survival of GC patients. However, additional multicenter prospective studies with larger sample size are required to verify this issue.