The impact of COVID-19 pandemic on the 2020 hepatitis C cascade of care in the Republic of Georgia.

OBJECTIVES: In 2015, the Republic of Georgia initiated a National Hepatitis C Elimination Program, with a goal of 90% reduction in prevalence of chronic hepatitis C virus (HCV) infections by 2020. In this article, we explore the impact of the COVID-19 pandemic on the 2020 hepatitis C cascade of care in Georgia. STUDY DESIGN: Retrospective analytic study. METHODS: We used a national screening registry that includes hospitals, blood banks, antenatal clinics, harm reduction sites, and other programs and services to collect data on hepatitis C screening. A separate national treatment database was used to collect data on viremia and diagnostic testing, treatment initiation, and outcome including testing for and achieving sustained virologic response (SVR). We used these databases to create hepatitis C care cascades for 2020 and 2019. Bivariate associations for demographic characteristics and screening locations per year and care cascade comparisons were assessed using a chi-squared test. RESULTS: In 2020 compared to 2019, the total number of persons screened for HCV antibodies decreased by 25% (from 975,416 to 726,735), 59% fewer people with viremic infection were treated for HCV infection (3188 vs. 7868), 46% fewer achieved SVR (1345 vs. 2495), a significantly smaller percentage of persons with viremic infection initiated treatment for HCV (59% vs. 62%), while the percentage of persons who achieved SVR (99.2% vs. 99.3%) remained stable. CONCLUSIONS: The COVID-19 pandemic had a negative impact on the hepatitis C elimination program in Georgia. To ensure Georgia reaches its elimination goals, mitigating unintended consequences of delayed diagnosis and treatment of hepatitis C due to the COVID-19 pandemic are paramount.

The burden and epidemiology of hepatitis B and hepatitis D in Georgia: findings from the national seroprevalence survey.

OBJECTIVES: The burden of hepatitis B virus (HBV) and hepatitis D virus (HDV) infections is unknown in Georgia. This analysis describes the prevalence of hepatitis B and coinfection with HDV and the demographic characteristics and risk factors for persons with HBV infection in Georgia. STUDY DESIGN: This is a cross-sectional seroprevalence study. METHODS: A cross-sectional, nationwide survey to assess hepatitis B prevalence among the general adult Georgian population (age ≥18 years) was conducted in 2015. Demographic and risk behavior data were collected. Blood specimens were screened for anti-hepatitis B core total antibody (anti-HBc). Anti-HBc-positive specimens were tested for hepatitis B surface antigen (HBsAg). HBsAg-positive specimens were tested for HBV and HDV nucleic acid. Nationally weighted prevalence estimates and adjusted odds ratios (aORs) for potential risk factors were determined for anti-HBc and HBsAg positivity. RESULTS: The national prevalence of anti-HBc and HBsAg positivity among adults were 25.9% and 2.9%, respectively. Persons aged ≥70 years had the highest anti-HBc positivity (32.7%), but the lowest HBsAg positivity prevalence (1.3%). Anti-HBc positivity was associated with injection drug use (aOR = 2.34; 95% confidence interval [CI] = 1.46-3.74), receipt of a blood transfusion (aOR = 1.68; 95% CI = 1.32-2.15), and sex with a commercial sex worker (aOR = 1.46; 95% CI = 1.06-2.01). HBsAg positivity was associated with receipt of a blood transfusion (aOR = 2.72; 95% CI = 1.54-4.80) and past incarceration (aOR = 2.72; 95% CI = 1.25-5.93). Among HBsAg-positive persons, 0.9% (95% CI = 0.0-2.0) were HDV coinfected. CONCLUSIONS: Georgia has an intermediate to high burden of hepatitis B, and the prevalence of HDV coinfection among HBV-infected persons is low. Existing infrastructure for hepatitis C elimination could be leveraged to promote hepatitis B elimination.

Clustering of hepatitis C virus antibody positivity within households and communities in Punjab, India.

To better understand hepatitis C virus (HCV) epidemiology in Punjab state, India, we estimated the distribution of HCV antibody positivity (anti-HCV+) using a 2013-2014 HCV household seroprevalence survey. Household anti-HCV+ clustering was investigated (a) by individual-level multivariable logistic regression, and (b) comparing the observed frequency of households with multiple anti-HCV+ persons against the expected, simulated frequency assuming anti-HCV+ persons are randomly distributed. Village/ward-level clustering was investigated similarly. We estimated household-level associations between exposures and the number of anti-HCV+ members in a household (N = 1593 households) using multivariable ordered logistic regression. Anti-HCV+ prevalence was 3.6% (95% confidence interval 3.0-4.2%). Individual-level regression (N = 5543 participants) found an odds ratio of 3.19 (2.25-4.50) for someone being anti-HCV+ if another household member was anti-HCV+. Thirty households surveyed had ⩾2 anti-HCV+ members, whereas 0/1000 (P < 0.001) simulations had ⩾30 such households. Excess village-level clustering was evident: 10 villages had ⩾6 anti-HCV+ members, occurring in 31/1000 simulations (P = 0.031). The household-level model indicated the number of household members, living in southern Punjab, lower socio-economic score, and a higher proportion having ever used opium/bhuki were associated with a household's number of anti-HCV+ members. Anti-HCV+ clusters within households and villages in Punjab, India. These data should be used to inform screening efforts.

The burden of hepatitis C virus infection in Punjab, India: A population-based serosurvey.

INTRODUCTION: Hepatitis C virus (HCV) infection prevalence is believed to be elevated in Punjab, India; however, state-wide prevalence data are not available. An understanding of HCV prevalence, risk factors and genotype distribution can be used to plan control measures in Punjab. METHODS: A cross-sectional, state-wide, population-based serosurvey using a multi-stage stratified cluster sampling design was conducted October 2013 to April 2014. Children aged ≥5 years and adults were eligible to participate. Demographic and risk behavior data were collected, and serologic specimens were obtained and tested for anti-HCV antibody, HCV Ribonucleic acid (RNA) on anti-HCV positive samples, and HCV genotype. Prevalence estimates and adjusted odds ratios for risk factors were calculated from weighted data and stratified by urban/rural residence. RESULTS: 5,543 individuals participated in the study with an overall weighted anti-HCV prevalence of 3.6% (95% Confidence Interval [CI]: 3.0%-4.2%) and chronic infection (HCV Ribonucleic acid test positive) of 2.6% (95% CI: 2.0%-3.1%). Anti-HCV was associated with being male (adjusted odds ratio 1.52; 95% CI: 1.08-2.14), living in a rural area (adjusted odds ratio 2.53; 95% CI: 1.62-3.95) and was most strongly associated with those aged 40-49 (adjusted odds ratio 40-49 vs. 19-29-year-olds 3.41; 95% CI: 1.90-6.11). Anti-HCV prevalence increased with each blood transfusion received (adjusted odds ratio 1.36; 95% CI: 1.10-1.68) and decreased with increasing education, (adjusted odds ratio 0.37 for graduate-level vs. primary school/no education; 95% CI: 0.16-0.82). Genotype 3 (58%) was most common among infected individuals. DISCUSSION: The study findings, including the overall prevalence of chronic HCV infection, associated risk factors and demographic characteristics, and genotype distribution can guide prevention and control efforts, including treatment provision. In addition to high-risk populations, efforts targeting rural areas and adults aged ≥40 would be the most effective for identifying infected individuals.