Literature DB >> 31969030

Beneficial body mass index to enhance survival outcomes in patients with early-stage hepatocellular carcinoma following microwave ablation treatment.

Jian-Ping Dou1, Zhi-Yu Han1, Fangyi Liu1, Zhigang Cheng1, Xiaoling Yu1, Jie Yu1, Ping Liang1.   

Abstract

Purpose: To identify the beneficial body mass index (BMI) for patients with hepatocellular carcinoma (HCC) to achieve longer survival time following curative microwave ablation (MWA).
Methods: This retrospective study evaluated 474 patients with solitary primary HCC who underwent MWA. BMI at initial admission and other characteristics were collected. The associations of the BMI with the overall survival (OS) and disease-free survival (DFS) were analyzed by Cox proportional hazards regression analysis in multiple models. A two-piecewise linear regression model was applied to examine the threshold effect of the BMI on OS and DFS by maximized log likelihood method. The threshold level was determined by using trial and error.
Results: Patients with a normal BMI range achieved improved survival outcomes but similar DFS in multiple models. In the model with adjustments of the age, size, and Charlson score, patients with BMI ≤ 22.9 and ≤24.9 kg/m2 exhibited a lower death rate than patients with BMI ≤18.5 kg/m2 (p < 0.05). U-shaped relationships between the BMI and OS were illustrated when the BMI was set as a continuous variable. The death prevalence decreased with an increasing BMI up to the first turning point of 21.5 and increased with an increasing BMI up to the second turning point of 23.1 (p = 0.00). The threshold effect analysis indicated that no turning point was selected in the DFS results (p = 0.10).Conclusions: The beneficial BMI level for HCC patients following MWA, with a more likely favorable survival outcome, is 21.5 to 23.1 kg/m2.

Entities:  

Keywords:  Body mass index; hepatocellular carcinoma; microwave ablation; survival outcome; threshold effect

Year:  2020        PMID: 31969030     DOI: 10.1080/02656736.2020.1712482

Source DB:  PubMed          Journal:  Int J Hyperthermia        ISSN: 0265-6736            Impact factor:   3.914


  3 in total

1.  A Hybrid Machine Learning Model Based on Semantic Information Can Optimize Treatment Decision for Naïve Single 3-5-cm HCC Patients.

Authors:  Wenzhen Ding; Zhen Wang; Fang-Yi Liu; Zhi-Gang Cheng; Xiaoling Yu; Zhiyu Han; Hui Zhong; Jie Yu; Ping Liang
Journal:  Liver Cancer       Date:  2022-01-28       Impact factor: 12.430

2.  Fat Quantification Imaging and Biophysical Modeling for Patient-Specific Forecasting of Microwave Ablation Therapy.

Authors:  Frankangel Servin; Jarrod A Collins; Jon S Heiselman; Katherine C Frederick-Dyer; Virginia B Planz; Sunil K Geevarghese; Daniel B Brown; Michael I Miga
Journal:  Front Physiol       Date:  2022-02-03       Impact factor: 4.566

3.  A Novel Nomogram Model to Predict the Recurrence-Free Survival and Overall Survival of Hepatocellular Carcinoma.

Authors:  Shu-Wen Zhang; Ning-Ning Zhang; Wen-Wen Zhu; Tian Liu; Jia-Yu Lv; Wen-Tao Jiang; Ya-Min Zhang; Tian-Qiang Song; Li Zhang; Yan Xie; Yong-He Zhou; Wei Lu
Journal:  Front Oncol       Date:  2022-07-22       Impact factor: 5.738

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.