Published online Feb 27, 2024. doi: 10.4240/wjgs.v16.i2.451
Peer-review started: November 21, 2023
First decision: December 5, 2023
Revised: December 16, 2023
Accepted: January 23, 2024
Article in press: January 23, 2024
Published online: February 27, 2024
Processing time: 96 Days and 6.6 Hours
Postoperative complications are important clinical outcomes in patients with colorectal cancer (CRC). Abdominal infection is a serious complication of radical resection of CRC. Currently, the risk factors for abdominal infections after CRC surgery are unclear.
To explore the correlation between inflammatory indicators and abdominal infection in patients after radical resection of CRC and construct a risk prediction model to provide a theoretical basis for prevention and intervention.
To explore the predictive value of preoperative neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and carcinoembryonic antigen (CEA) levels for intra-abdominal infection (IAI) in patients after radical resection of CRC and provide an evaluation tool for individualized treatment of patients.
This study was based on a retrospective analysis of the preoperative NLR, PLR, SII, and CEA levels in 80 patients who were admitted and underwent radical resection of CRC. A risk prediction model was constructed and verified.
Studies have shown that the NLR, PLR, SII, and CEA are risk factors for IAI in patients with CRC after radical surgery. The area under the curve of the training set (n = 60) for the nomogram prediction model was 0.968 [95% confidence interval (CI): 0.948-0.988], and that of the validation set (n = 20) was 0.926 (95%CI: 0.906-0.980). Calibration curves of the training and validation sets showed that the predicted results corresponded with the observed results. decision curve analysis curve analysis showed that patients with CRC could benefit from the prediction model.
A nomogram combining the NLR, PLR, SII, and CEA levels was established. It has good accuracy and reliability in predicting abdominal infections in patients after radical resection of CRC, which is helpful in clinical treatment decision-making and has clinical significance in improving the prognosis of patients.
Based on the general data and laboratory indicators of patients undergoing radical resection of CRC, we observed whether IAI occurred and focused on the analysis of preoperative NLR, PLR, SII, and CEA levels and the construction of relevant prediction models.