Objective To investigate the application of integrative preoperative nutritional and inflammatory indicators in predicting the prognosis of high-grade glioma， and to establish a nomogram model.Methods A retrospective analysis was performed for 110 patients with high-grade glioma who were admitted to The First People’s Hospital of Yibin from 2015 to 2020. Medical records of the patients were collected， and the patients were followed up till December 30， 2022. The receiver operating characteristic （ROC） curve was used to calculate the area under the ROC curve （AUC） and optimal cut-off values of related indicators in predicting the survival of patients. The Kaplan-Meier method was used to plot the survival curve， and the log-rank test and Cox regression analysis were used to explore possible influencing factors for prognosis. R language was used to establish a nomogram model and perform internal validation （80% of the samples were randomly selected for validation） and external validation （the data for external validation were collected from 40 patients with high-grade glioma in The Second People’s Hospital of Yibin）.Results The median follow-up time was 15 months， with a mean survival time of 11 months， and the 6-month and 1-year survival rates were 84.55% and 40.00%， respectively. Controlled Nutritional Status （CONUT） score， neutrophil-to-lymphocyte ratio （NLR）， platelet-to-lymphocyte ratio （PLR）， and lymphocyte-to-monocyte ratio （LMR） had an optimal cut-off value of 1.5 points， 2.58， 88.33， and 5.34， respectively， in predicting the prognosis of patients. The Cox regression analysis showed that CONUT score （hazard ratio ［HR］ = 0.367， 95% confidence interval ［CI］： 0.187-0.719， P <0.05）， NLR （HR = 0.666， 95% CI： 0.460-0.965， P <0.05）， WHO grade （HR = 1.723， 95% CI： 1.081-2.747， P <0.05）， surgical procedure （HR = 0.569， 95% CI： 0.372-0.871， P <0.05）， and GPS of 1 point （HR = 1.904， 95% CI： 1.194-3.036， P <0.05）， GPS of 2 points （HR = 3.386， 95% CI： 1.841-6.231， P <0.05）were influencing factors for the prognosis of patients with high-grade glioma. The nomogram model showed that the highest scores corresponding to CONUT score， GPS， NLR， WHO grade， and surgical procedure were 75 points， 100 points， 53 points， 80 points， and 88 points， respectively， and the ROC curve plotted for predicting survival using 80% raw data had an area under the ROC curve （AUC） of 0.922 （95% CI： 0.901-0.949）. The Hosmer-Lemeshow goodness-of-fit test showed a good degree of fit between the original data group and the external validation group （P = 0.913 and 0.871）.Conclusion High-grade glioma tend to have a poor prognosis， and CONUT score， GPS， NLR， WHO grade， and surgical procedure are predictive factors for the prognosis of patients. The nomogram model established based on these factors can effectively predict the prognosis of patients.