To establish a nomogram model for predicting postoperative survival of patients with colorectal cancer based on preoperative inflammatory indexes.

A cohort study design was used, 233 patients with colorectal cancer who met the criteria were selected from January 2011 to June 2014 in Air Force 986th Hospital. All patients underwent surgical resection of colorectal cancer and were followed up for 5 years. They were divided into survival group (99 cases) and death group (134 cases). The levels of preoperative inflammatory indexes were compared between the two groups. Univariate and Cox regression were used to analyze the influencing factors of postoperative survival of patients, and R software was used to establish a prediction model of postoperative survival.

There were significant differences in lymphocyte count, neutrophil count, platelet count, C-reactive protein, platelet/lymphocyte ratio (PLR), neutrophil/lymphocyte ratio (NLR) and C-reactive protein/albumin ratio (CAR) between the two groups (P<0.05), but no differences in white blood cell count and albumin. Tumor size (OR=1.379, 95% CI: 1.094-1.737), invasion depth (OR=2.020, 95% CI: 1.126-3.622), NLR (OR=1.496, 95% CI: 1.009-2.219), PLR (OR=1.927, 95% CI: 1.060-3.504) and CAR (OR=2.326, 95% CI: 1.479-3.657) were independent factors affecting postoperative survival. The C-index of the postoperative survival model predicted by the line chart was 0.831 (95% CI: 0.781-0.911), and the calibration prediction curve fitted well with the ideal curve.

Preoperative NLR, PLR, and CAR are negatively correlated with postoperative survival of colorectal cancer, and nomogram model can predict the postoperative survival of patients with colorectal cancer effectively.