To investigate the correlation between malnutrition and peripheral blood inflammatory indexes in elderly patients with liver cancer with interventional chemoembolization TACE and to establish a related prediction model. Method A total of 120 elderly patients with liver cancer who were admitted to the hospital from May 2020 to May 2022 were selected as the research subjects all of whom underwent TACE. After operation the nutritional status of the patients was evaluated according to the overall nutritional assessment scale and the patients were divided into a malnutrition group score of 2 - 21 and a non - malnutrition group score of 0-1 . The peripheral inflammatory indexes interleukin-6 IL-6 IL-8 C-reactive protein CRP tumor necrosis factor-α TNF-α were compared between the two groups. The Spearman correlation coefficient was used to analyze the correlation between malnutrition and the above indicators in elderly TACE patients. The relevant data of the two groups of patients were collected the logistic regression model was used to screen the risk factors of postoperative malnutrition in elderly TACE patients the prediction model was established and the receiver operating characteristic ROC curve was drawn to analyze the clinical application value of the prediction model. Result 76 of the 120 patients were malnourished after TACE. The levels of serum IL-6 IL-8 CRP and TNF-α in the malnutrition group were higher than those in the non-malnutrition group P<0. 05 . Malnutrition in elderly TACE patients was positively correlated with peripheral blood inflammatory indexes IL-6 IL-8 CRP and TNF-α P<0. 05 . The BMI preoperative nutritional support ratio ALB and PAB in the malnutrition group were lower than those in the non -malnutrition group and the proportions of anemia viral hepatitis B anxiety and depression and cancer - related fatigue were higher than those in the non - malnutrition group P< 0. 05 . Elevated IL - 6 IL - 8 CRP TNF - α anemia no preoperative nutritional support anxiety and depression cancer-related fatigue and decreased ALB were independent risk factors for malnutrition in elderly TACE patients P< 0. 05 . The AUC value of the risk prediction model for predicting malnutrition in elderly TACE patients was 0. 899 and the sensitivity and specificity were 88. 4% and 87. 1% respectively. Conclusion Malnutrition is positively correlated with peripheral blood inflammatory indexes in elderly patients with liver cancer TACE. The established risk prediction model can be used to predict the risk of malnutrition in elderly patients with liver cancer after TACE.