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
Colorectal cancer (CRC) has one of the highest morbidity and mortality rates among digestive tract tumors. Intra-abdominal infection (IAI) is a common postoperative complication that affects the clinical outcomes of patients with CRC and hinders their rehabilitation process. However, the factors influencing abdominal infection after CRC surgery remain unclear; further, prediction models are rarely used to analyze preoperative laboratory indicators and postoperative complications.
To explore the predictive value of preoperative blood markers for IAI after radical resection of CRC.
The data of 80 patients who underwent radical resection of CRC in the Anorectal Surgery Department of Suzhou Hospital affiliated with Anhui Medical University were analyzed. These patients were categorized into IAI (n = 15) and non-IAI groups (n = 65) based on whether IAI occurred. Influencing factors were compared; general data and laboratory indices of both groups were identified. The relationship between the indicators was assessed. Further, a nomogram prediction model was developed and evaluated; its utility and clinical applicability were assessed.
The risk factors for IAI after radical resection of CRC were neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and carcinoembryonic antigen (CEA) levels. NLR was correlated with PLR and SII (r = 0.604, 0.925, and 0.305, respectively), while PLR was correlated with SII (r = 0.787). The nomogram prediction model demonstrated an area under the curve of 0.968 [95% confidence interval (CI): 0.948-0.988] in the training set (n = 60) and 0.926 (95%CI: 0.906-0.980) in the validation set (n = 20). The average absolute errors of the calibration curves for the training and validation sets were 0.032 and 0.048, respectively, indicating a good model fit. The decision curve analysis curves demonstrated high net income above the 5% threshold, indicating the clinical practicality of the model.
The nomogram model constructed using NLR, PLR, SII, and CEA levels had good accuracy and reliability in predicting IAI after radical resection of CRC, potentially aiding clinical treatment decision-making.
Core tip: Intra-abdominal infection (IAI) is a common and serious complication following the radical resection of colorectal cancer (CRC) that affects the efficacy of surgery, prolongs hospital stay, and hinders the postoperative rehabilitation process of patients. In this study, the clinical data of 80 patients who underwent radical resection for CRC were retrospectively analyzed. Based on whether IAI occurred, patients were divided into IAI and non-IAI groups. The relationship between IAI and preoperative neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, systemic immune-inflammation index, and carcinoembryonic antigen levels in patients after radical resection of CRC was studied, and a prediction model with good prediction accuracy was developed.