Development and validation of a clinical diagnostic model for surgical site infection after surgery in patients with gastric cancer.

ABSTRACT:

Background

Surgical site infection (SSI) is a common and serious complication following gastric cancer surgery, often linked to patient age, surgery duration, and the surgical approach taken. Accurate prediction and personalized mitigation of SSI risk are crucial for improving surgical outcomes. While prior studies have focused on SSI rates after open and laparoscopic gastric cancer surgeries, it is important to also consider robot-assisted procedures. This study aims to develop a predictive model for SSI after radical gastric cancer surgery, validate it through external testing, and provide a reliable tool for clinical use.

Methods

Data from 763 postoperative gastric cancer patients were analyzed, with 601 in the training set from Gansu Provincial People's Hospital and 162

SUBMITTER: Peng Y 

PROVIDER: S-EPMC11483434 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature