Abstract:
Objective By retrospective analysis of clinical data of patients with single-center gastric cancer，independent risk factors for liver metastasis of gastric cancer were obtained，and a Nomogram prediction model was established.
Methods Eighty-five patients with gastric cancer with liver metastasis（GCLM）from January 1，2010 to December 31，2020，and 536 patients without liver metastasis who underwent radical gastrectomy from January 1，2015 to December 31，2015 were included in the study. Statistical software SPSS 22.0 and R 3.6.3 were used for data analysis. Univariate and multifactor Logistic regression and ROC curve were applied，and the results of multifactor analysis were visualized by Nomogram. P<0.1 was considered statistically significant.
Results Tumor location，N stage，age，sex，degree of tumor differentiation，neutrophil-lymphocyte ratio（NLR），CEA，CA125，CA242 were independent risk factors for liver metastasis of gastric cancer，and a Nomogram was established（C=0.911，95%CI：0.880-0.958）.
Conclusions By introducing tumor location classification，neutrophil-lymphocyte ratio（NLR），platelet-lymphocyte ratio（PLR）and other systemic inflammatory response indicators，and nutritional indicators prognostic nutrition index（OPNI），we determined the risk factors for liver metastasis of gastric cancer and established a predictive Nomogram model to provide a reference for clinical prediction of liver metastasis of gastric cancer.
Key words:
Stomach Neoplasms,
Neoplasm Metastasis,
Logistic Models,
Nomograms,
Risk Factors
Heng Yu, Xiaofeng Lu, Peng Song, Yonghuan Mao, Feng Sun, Shichao Ai, Feng Wang, Liang Tao, Qiongyuan Hu, Meng Wang, Song Liu, Qiong Wang, Xiaofei Shen, Wenxian Guan. Analysis of risk factors for liver metastasis in gastric cancer and construction of prediction model[J]. Chinese Journal of Operative Procedures of General Surgery(Electronic Edition), 2023, 17(04): 375-379.