Predictive model for acute abdominal pain after transarterial chemoembolization for liver cancer
Lifang Bian, Xuehong Zhao, B. M. Li Gao, Sheng Zhang, Guo-Mei Ge, Dong-Di Zhan, Tingting Ye, Yan Zheng
Abstract
BACKGROUND: Transarterial chemoembolization (TACE) is the first-line treatment for patients with unresectable liver cancer; however, TACE is associated with postembolization pain. AIM: To analyze the risk factors for acute abdominal pain after TACE and establish a predictive model for postembolization pain. METHODS: From January 2018 to September 2018, all patients with liver cancer who underwent TACE at our hospital were included. General characteristics; clinical, imaging, and procedural data; and postembolization pain were analyzed. Postembolization pain was defined as acute moderate-to-severe abdominal pain within 24 h after TACE. Logistic regression and a classification and regression tree were used to develop a predictive model. Receiver operating characteristic curve analysis was used to examine the efficacy of the predictive model. RESULTS: = 0.004) as independent predictive factors for postembolization pain. CONCLUSION: Blood vessel invasion, TACE history, TACE with drug-eluting beads, and history of abdominal pain after TACE are predictors of acute moderate-to-severe pain. The predictive model may help medical staff to manage pain.