Impact of hepatitis C treatment status on risk of Parkinson's disease and secondary parkinsonism in the era of direct-acting antivirals.
Ranya SelimStuart C GordonYueren ZhouTalan ZhangMei LuYihe G DaidaJoseph A BoscarinoMark A SchmidtSheri TrudeauLoralee B RuppHumberto C GonzalezPublished in: Journal of viral hepatitis (2023)
Research suggests a possible link between chronic infection with hepatitis C virus (HCV) and the development of Parkinson's Disease (PD) and secondary Parkinsonism (PKM). We investigated the impact of antiviral treatment status (untreated, interferon [IFN] treated, direct-acting antiviral [DAA] treated) and outcome (treatment failure [TF] or sustained virological response [SVR]) on risk of PD/PKM among patients with HCV. Using data from the Chronic Hepatitis Cohort Study (CHeCS), we applied a discrete time-to-event approach with PD/PKM as the outcome. We performed univariate followed by a multivariable modelling that used time-varying covariates, propensity scores to adjust for potential treatment selection bias and death as a competing risk. Among 17,199 confirmed HCV patients, we observed 54 incident cases of PD/PKM during a mean follow-up period of 17 years; 3753 patients died during follow-up. There was no significant association between treatment status/outcome and risk of PD/PKM. Type 2 diabetes tripled risk (hazard ratio [HR] 3.05; 95% CI 1.75-5.32; p < .0001) and presence of cirrhosis doubled risk of PD/PKM (HR 2.13, 95% CI 1.31-3.47). BMI >30 was associated with roughly 50% lower risk of PD/PKM than BMI <25 (HR 0.43; 0.22-0.84; p = .0138). After adjustment for treatment selection bias, we did not observe a significant association between HCV patients' antiviral treatment status/outcome on risk of PD/PKM. Several clinical risk factors-diabetes, cirrhosis and BMI-were associated with PD/PKM.
Keyphrases
- hepatitis c virus
- type diabetes
- risk factors
- end stage renal disease
- ejection fraction
- newly diagnosed
- body mass index
- chronic kidney disease
- human immunodeficiency virus
- metabolic syndrome
- dendritic cells
- parkinson disease
- insulin resistance
- deep learning
- skeletal muscle
- replacement therapy
- patient reported outcomes
- data analysis
- big data
- glycemic control
- hiv infected patients