Weight Gain and Increased Body Mass Index in Patients with Hepatitis C after Eradication Using Direct-Acting Antiviral Therapy in Taiwan.
Chun-Hsien ChenYung-Yu HsiehWei-Ming ChenChien-Heng ShenKuo-Liang WeiKao-Chi ChangYuan-Jie DingSheng-Nan LuChao-Hung HungTe-Sheng ChangPublished in: Diagnostics (Basel, Switzerland) (2024)
Few studies have reported weight gain in patients with hepatitis C virus (HCV) infection treated with direct-acting antiviral agents (DAAs). This retrospective cohort study identified factors associated with substantial weight gain after DAA treatment in Taiwan. This study involved patients treated using DAAs at the Chiayi and Yunlin branches of Chang Gung Memorial Hospital from 1 January 2017 to 31 October 2020. Body weight data were collected at the start of DAA therapy and 2 years after the confirmation of a sustained virologic response. We performed multiple logistic regression to evaluate the clinical and laboratory parameters associated with a large body mass index (BMI) increase (≥5%). The mean BMI was 25.56 ± 4.07 kg/m 2 at baseline and 25.77 ± 4.29 kg/m 2 at the endpoint ( p = 0.005). A considerable reduction in fibrosis-4 (FIB-4) score was a significant predictor of a large BMI increase (OR: 1.168; 95% CI: 1.047-1.304, p = 0.006). By contrast, older age (OR: 0.979; 95% CI: 0.963-0.996, p = 0.013) and a higher baseline BMI (OR: 0.907; 95% CI: 0.863-0.954, p < 0.001) were associated with a reduced risk of a large increase in BMI at the endpoint. In summary, a larger BMI increase was closely associated with a younger age, lower baseline BMI, and higher FIB-4 score reduction. Notably, differences in DAA regimens did not affect outcomes. Future studies are needed to elucidate the long-term effects and metabolic outcomes associated with this body weight change and investigate the exact underlying mechanisms.
Keyphrases
- weight gain
- body mass index
- body weight
- birth weight
- hepatitis c virus
- physical activity
- weight loss
- magnetic resonance
- healthcare
- computed tomography
- mesenchymal stem cells
- electronic health record
- molecular dynamics
- magnetic resonance imaging
- stem cells
- type diabetes
- liver fibrosis
- smoking cessation
- cell therapy
- bone marrow
- replacement therapy
- machine learning
- antiretroviral therapy
- deep learning
- big data
- glycemic control
- current status