Changing epidemiology of hepatitis C in Italy: a population-based survey in a historically high endemic area.

BACKGROUND: General population data on hepatitis C virus (HCV) prevalence in Italy come mostly from studies conducted in small towns. The highest rates have consistently been found in southern regions, especially in Calabria. Herein, we aimed to determine HCV prevalence, awareness, and risk factors in the general population of Catanzaro, the capital city of Calabria, Italy. METHODS: A stratified probability-based random sample of adult population was drawn from the Census. Anti-HCV and HCV-RNA were assayed. Data on sociodemographycs, risk factors and awareness of infection status were also collected. Crude and age and sex directly standardized rates (DSR), using Catanzaro's general population as standard, were calculated. Log binomial regressions with sampling weights was used to identify independent predictors of infection. RESULTS: The final study population consisted of 1003 people. Of them 27 (2.69%; 95% confidence interval, [CI] 1.78-3.89) (DSR: 2.34%; 95% CI: 1.37-3.30) and 9 (0.9%; 95% CI: 0.41-1.70) (DSR: 0.79%; 95% CI: 0.21-1.37) were anti-HCV and HCV RNA positive, respectively. Most HCV-positive participants were older people. Age ≥65 and past use of illicit drugs were both positive independent predictors of anti-HCV positivity, while female sex was an independent protective predictor of infection. Only 9 (33.3%) of anti-HCV positive participants had awareness of their status. CONCLUSIONS: We detected a much lower anti-HCV prevalence than those previously found in Calabria, along with a substantial change in HCV transmission modes. Infected people were almost only elderly and mostly unaware of their infection. Improving diagnosis and linkage to care for these infected persons would be needed.

Epidemiological characteristics of COVID-19 cases in non-Italian nationals notified to the Italian surveillance system.

BACKGROUND: International literature suggests that disadvantaged groups are at higher risk of morbidity and mortality from SARS-CoV-2 infection due to poorer living/working conditions and barriers to healthcare access. Yet, to date, there is no evidence of this disproportionate impact on non-national individuals, including economic migrants, short-term travellers and refugees. METHODS: We analyzed data from the Italian surveillance system of all COVID-19 laboratory-confirmed cases tested positive from the beginning of the outbreak (20th of February) to the 19th of July 2020. We used multilevel negative-binomial regression models to compare the case fatality and the rate of admission to hospital and intensive care unit (ICU) between Italian and non-Italian nationals. The analysis was adjusted for differences in demographic characteristics, pre-existing comorbidities, and period of diagnosis. RESULTS: We analyzed 213 180 COVID-19 cases, including 15 974 (7.5%) non-Italian nationals. We found that, compared to Italian cases, non-Italian cases were diagnosed at a later date and were more likely to be hospitalized {[adjusted rate ratio (ARR)=1.39, 95% confidence interval (CI): 1.33-1.44]} and admitted to ICU (ARR=1.19, 95% CI: 1.07-1.32), with differences being more pronounced in those coming from countries with lower human development index (HDI). We also observed an increased risk of death in non-Italian cases from low-HDI countries (ARR=1.32, 95% CI: 1.01-1.75). CONCLUSIONS: A delayed diagnosis in non-Italian cases could explain their worse outcomes compared to Italian cases. Ensuring early access to diagnosis and treatment to non-Italians could facilitate the control of SARS-CoV-2 transmission and improve health outcomes in all people living in Italy, regardless of nationality.