Establishment and Evaluation of A Nomogram Model for the Prognosis of Hepatocellular Carcinoma Patients After TACE
Objective To explore the factors influencing the survival of patients with different types of hepatocellular carcino-ma(HCC)after transcatheter arterial chemoembolization(TACE),establish a clinical prediction model for the short-term prognosis of HCC patients undergoing TACE,and assess its predictive value.Methods A retrospective analysis was con-ducted on 209 HCC patients who underwent TACE at the Kunming Third People's Hospital from January 2018 to June 2022.The demographic,clinical,laboratory,and radiological data of the patients were collected.Univariate analysis and LASSO regression were used to select the predictors of 18-month survival of the patients,and a logistic regression prediction model was constructed and validated using the Bootstrap method.The prediction model was visualized by a nomogram.Results A-mong the 209 HCC patients,50 died within 18 months.Tumor size,tumor capsule,tumor spread,HGB,and AFP were i-dentified as independent prognostic factors for HCC patients treated with TACE(P＜0.05).ROC results showed that the prediction model based on the above indicators had an AUC of 0.836,a sensitivity of 72.0%,and a specificity of 83.6%.The decision curve analysis indicated that the model had excellent clinical utility within the threshold range of 0.05 to 0.83.Conclusion The survival of HCC patients after TACE treatment is associated with the tumor size,tumor capsule,tumor spread,HGB,and AFP.Therefore,a prediction model based on these factors can facilitate the identification of prognostic factors for the survival of patients in a timely manner.
万方数据
维普
