Hepatitis C Virus Infection Increases Fatigue in Health Care Workers

Fatigue and quality-of-life in the year following SARS-Cov2 infection

Background

The SARS-COV2 pandemic has been ongoing worldwide since at least 2 years. In severe cases, this infection triggers acute respiratory distress syndrome and quasi-systemic damage with a wide range of symptoms. Long-term physical and psychological consequences of this infection are therefore naturally present among these patients. The aim of this study was to describe the state of health of these patients at 6 (M6) and 12 months (M12) after infection onset, and compare quality-of-life (QOL) and fatigue at these time-points.

Methods

A prospective cohort study was set up at Reims University Hospital. Patients were clinically assessed at M6 and M12. Three scores were calculated to describe patient’s status: the modified Medical Research Council score (mMRC) used to determine dyspnoea state, the Fatigue Severity Scale (FSS) and the Short Form 12 (SF12) that was carried out to determine the QOL both mentally and physically (MCS12 and PCS12). Descriptive analysis and comparison of scores between M6 and M12 were made.

Results

120 patients completed both follow-up consultations. Overall, about 40% of the patients presented dyspnoea symptoms. The median mMRC score was 1 Interquartile ranges (IQR) = [0–2] at the two assessment. Concerning FSS scores, 35% and 44% of patients experienced fatigue at both follow-ups. The two scores of SF12 were lower than the general population standard scores. The mean PCS12 score was 42.85 (95% confidence interval (95% CI [41.05–44.65])) and mean MCS12 score of 46.70 (95% CI [45.34–48.06]) at 6 months. At 12 months, the mean PCS12 score was 42.18 (95% confidence interval (95% CI [40.46–43.89])) and mean MCS12 score of 47.13 (95% CI [45.98–48.28]). No difference was found between SF12 scores at 6 and 12 months.

Conclusions

This study pinpoints the persistence of fatigue and a low mental and physical QOL compared to population norms even after 1 year following infection. It also supports the claims of mental or psychological alterations due to infection by this new virus, hence a lower overall QOL in patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12879-022-07517-w.

Association of exercise participation levels with cardiometabolic health and quality of life in individuals with hepatitis C

Objective

Hepatitis C virus (HCV) infection is associated with an increased risk of cardiovascular disease (CVD) and reduced health-related quality of life (HRQoL). Although physical activity (PA)/exercise has been shown to reduce CVD risk and improve HRQoL in patients with liver disease, there is limited data in HCV. We aimed to explore the association between PA/exercise levels, CVD risk and HRQoL in patients with HCV and assess individuals’ attitudes to PA/exercise.

Design

Cross-sectional observational study recruiting consecutive patients with HCV from viral hepatitis clinics. Data were collected on CVD risk factors, anthropometry, HRQoL and the Exercise Benefits and Barriers Scale (EBBS).

Results

86 patients were recruited (71% men, 94% white, age 52±13 years); 49% of the cohort self-reported to be currently active. Although HRQoL was reduced across the cohort, patients that were regularly ‘active’ reported significantly higher HRQoL scores across Short-Form 36v2 domains compared with their inactive counterparts (p<0.05). Metabolic and cardiovascular characteristics were no different between groups stratified by PA/exercise status (p>0.05). EBBS scores were similar in the ‘active’ versus ‘inactive’ groups, however, patients categorised as ‘active’ scored significantly higher on the psychological outlook and social interaction subscales (p<0.05) than those that were ‘inactive’. There were significant associations between EBBS scores and HRQoL (p<0.05).

Conclusions

PA/exercise is associated with increased HRQoL in patients with HCV irrespective of clinical parameters. Addressing specific motivators/barriers to exercise for patients will be key to designing effective PA/exercise interventions in this patient population to ensure maximum uptake and adherence.