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Archive > Volume 30 Issue 10 > 2023,30(10):902-907. DOI:10.3872/j.issn.1007-385X.2023.10.008 Prev Next
Clinical Research
Construction of a nomogram prediction model for the prognosis of gastric cancer patients based on the inflammatory response marker scoring system
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Abstract:
Objective: To construct the inflammatory response score (IRS) system according to the expression levels of neutrophil to lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and lymphocyte to monocyte ratio (LMR) in patients with gastric cancerbefore operation, and to analyze the influence of IRS on postoperative prognosis of patients with gastric cancer and construct a nomogram prediction model. Methods: The clinical data of 211 gastric cancer patients admitted to the Department of General Surgery of Yichun People's Hospital between January 2016 and January 2020 were collected, 198 among whom were successfully followed up. According to their survival status 3 years after surgery, these 198 patients were divided into the death group (n=93) and the survival group (n=105). The general clinical data of the two groups were compared. The independent risk factors affecting the prognosis of patients with gastric cancer were analyzed by multivariate COX regression risk model, and the nomogram prediction model was constructed by the R Package rms. Results: There were significant differences in maximum tumor diameter, pathological stage, T stage,differentiation degree, nerve invasion, vascular invasion, NLR, PLR and LMR between the 2 groups (all P<0.05). According to the construction criteria of NLP, PLR and LMR-IRS (NPL-IRS), the OS rate of gastric cancer patients with different scores showed a certain grade trend difference (χ2=61.129, P<0.01). Pathological stage Ⅲ, low differentiation, vascular invasion, NPL-IRS>1 score were independent risk factors for the prognosis of gastric cancer patients (P<0.05). Decision curve analysis showed that this predictive model could provide significant additional clinical net benefit at a risk threshold of >0.16. Conclusion: The nomogram prediction model based on pathological stage Ⅲ, low differentiation, vascular invasion, and NPL-IRS>1 score can provide important strategic guidance for the prognosis assessment of gastric cancer patients.
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