1. Effect of skeletal muscle index on post-embolization syndrome of hepatocellular carcinoma after transarterial chemoembolization
- Author
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Xiaojuan Wang, Jitao Wang, Jinlong Li, Kuopeng Liang, Shoufang Dai, Ruikun Wang, Yi Zhang, Quan Ren, Linglei Meng, and Yuzi Qiu
- Subjects
Computed tomography ,Transarterial chemoembolization ,Hepatocellular carcinoma ,Skeletal muscle index ,Diseases of the digestive system. Gastroenterology ,RC799-869 - Abstract
Abstract Background Skeletal muscle index (SMI) is a commonly used research method for evaluating muscle mass.However, its impact on post-embolization syndrome(PES) of patients with hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE) is unclear.Our objective was to determine the effect of SMI on PES after TACE in patients with HCC. Methods We conducted a retrospective analysis of patients who received TACE treatment for HCC at our hospital from 2015 to 2020. The subjects were divided into two groups according to the presence or absence of PES after TACE, and their clinical characteristics were compared.SMI was measured and calculated by cross-sectionally at the level of the third lumbar vertebra based on computed tomography (CT). According to the cutoff value, the patients were classified into either low or high SMI group.Potential risk factors for PES were assessed using univariate and multivariable Cox proportional risk models. Results A total of 110 people were included in this study, from which including 82 patients experienced PES. Serum albumin was significantly lower in the PES group compared to the non-PES group.The frequency of HCC with a maximum diameter > 3 cm and low SMI in the PES group was significantly higher than in patients without PES. Cox multivariate analysis identified that the maximum diameter of HCC > 3 cm and low SMI were independent predictors of PES after TACE. Conclusions Low SMI is an independent predictor of PES in HCC patients after TACE treatment, making preoperative CT assessment of skeletal muscle mass is a simple and effective tool for predicting PES.
- Published
- 2024
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