Antioxidant Lifestyle, Co-Morbidities and Quality of Life Empowerment Concerning Liver Fibrosis.
Diego Martinez-UrbistondoRafael Suarez Del VillarJosepmaria ArgemíLidia Daimiel RuizOmar Ramos-LópezRodrigo San-CristóbalPaula VillaresJose Alfredo MartinezPublished in: Antioxidants (Basel, Switzerland) (2020)
The assessment of liver fibrosis has gained importance since the progression of non-alcoholic fatty liver disease (NAFLD). Indeed, the description of the association between undetected liver fibrosis and lifestyle in terms of antioxidant habits, comorbidity and quality of life (QoL) domains may help in the characterization of subjects with NAFLD. A cross-sectional evaluation of (n = 116) consecutive patients from an Internal Medicine ambulatory evaluation was performed. Demographic data, lifestyle, co-morbidity, QoL (according to the SF-36 index) and analytical values to calculate the oxidative related Fibrosis-4 (FIB-4) index were recorded. The association between FIB-4 and co-morbidity, antioxidant habits in QoL was assessed in univariate analysis (p < 0.05) and confirmed in multivariable analysis for 4 of the 8 SF-36 categories: Physical QoL, Physical role, Social QoL and General QoL, as well as in the Physical summary of SF-36 (p < 0.05). Finally, interactions were assessed between co-morbidity, FIB-4 and antioxidant habits showed in the prediction of mean SF-36 (p < 0.01). Liver fibrosis assessed by the oxidative surrogate index FIB-4 is associated with the interaction between antioxidant lifestyle, co-morbidity and physical, social and general aspects of QoL in apparent liver disease-free individuals, generating a proof of concept for health empowerment and personalized medicine.
Keyphrases
- liver fibrosis
- physical activity
- mental health
- oxidative stress
- anti inflammatory
- metabolic syndrome
- weight loss
- healthcare
- cardiovascular disease
- end stage renal disease
- newly diagnosed
- public health
- blood pressure
- ejection fraction
- type diabetes
- peritoneal dialysis
- computed tomography
- machine learning
- magnetic resonance imaging
- electronic health record
- health information
- artificial intelligence
- big data