Abstract
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
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 antiehepatitis 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.
Keywords: Georgia, Hepatitis B, Hepatitis D, Prevalence, Risk Factors
Introduction
Globally, an estimated 257 million persons (3.5% of the world’s population) were living with chronic hepatitis B virus (HBV) infection in 2015,1 and an estimated 900,000 persons died from HBV infection, primarily from the sequelae of chronic infection, liver failure and hepatocellular carcinoma.1 Superinfection with hepatitis D virus (HDV) worsens the outcome of HBV infection, and an estimated 5% of HBV-infected persons are also coinfected with HDV.1
Introduction of hepatitis B vaccine into the childhood vaccination schedule has dramatically reduced the prevalence of chronic HBV infection from 4.7% to 1.3% in 2015 in children <5 years of age globally.1 HBV infection occurring during birth and early childhood accounts for most of the burden of chronic hepatitis B; the majority of people currently living with HBV infection were born before hepatitis B vaccine was widely available.1 In 2018, global coverage of three doses of hepatitis B vaccine was 84%, however, birth dose coverage was only 42%; many developing countries are not using birth dose of hepatitis B vaccine as part of their national strategy.2 In 2016, the World Health Assembly endorsed viral hepatitis elimination goals, defined as a reduction of 90% in incidence and 65% in mortality worldwide of both hepatitis B and hepatitis C by 2030.1,3
Georgia, a lower-middle-income country with a population of 3.7 million situated at the crossroads of Europe and Asia, implemented a national program in 2015 to eliminate hepatitis C by 2020.4–6 To inform this effort, the country conducted a national seroprevalence survey in 2015 to estimate the burden of hepatitis C virus (HCV) infection, but also included testing for HBV infection.7–9 The hepatitis B vaccine has been included in Georgia’s national immunization schedule since 2002, and the birth dose has been included since 2003. Coverage for routine vaccination has been >90% for most years during 2005–2018.10 This article describes the national prevalence of HBV infection and associated risk factors, as well as coinfection with HDV, in Georgia’s adult population born before 1998.
Methods
Study population
A cross-sectional, nationwide survey for hepatitis B and hepatitis C prevalence among the general population aged ≥18 years was conducted in Georgia in 2015 using a stratified, multi-stage cluster design with random sampling.9 A sample size of 7000 was based on an estimated HCV prevalence of 6.7%, a design effect of 2, and a 70% anticipated response rate.9 After obtaining informed consent from study participants, interviewers collected demographic information, medical and behavioral history, information about potential risk factors and exposures, knowledge about HBV infection, and vaccination information. A blood sample was collected from the study participants. Trained interviewers verbally administered the survey in the language of the participant (either Georgian, Armenian, Russian or Azerbaijani). Data were entered into hand-held electronic devices in real time and uploaded to a secure database. The details of sampling methods, specimen and data collection details, and hepatitis C testing and statistical methods are described in the study by Hagan et al.9
Laboratory methods
Blood specimens were centrifuged, and serum was separated, aliquoted, and stored at −20 °C. Weekly, the specimens were shipped on dry ice to the Lugar Center, Georgia’s national reference laboratory, where they were stored at −70 °C until tested. The specimens were screened for anti-hepatitis B core total antibody (anti-HBc) by enzyme-immunoassay (anti-HBc Ab, EIA IVD, Dia.Pro. Diagnostic Bioprobes Srl., Italy).11 Anti-HBc-positive specimens were tested for hepatitis B surface antigen (HBsAg) (EIA IVD, Dia.Pro. Diagnostic Bioprobes Srl., Italy).12 To confirm the presence of HBsAg, all HBsAg-positive samples were tested with the HBsAg confirmation neutralization assay (EIA IVD, Dia.Pro. Diagnostic Bioprobes Srl., Italy).13 The Diagnostic Reference Team of the Division of Viral Hepatitis Laboratory Branch at the US Centers for Disease Control and Prevention (CDC) retested all anti-HBc-positive specimens and a comparable-size subset of negative specimens using the highly sensitive, Food and Drug Administration-licensed VITROS Immunodiagnostic System (aHBc and HBsAg, IVD, Ortho Clinical Diagnostics, Raritan, NJ, USA).14–15 Specimens that tested positive for HBsAg were tested at the CDC using nucleic acid tests (NATs) for HBV DNA and for HDV RNA. NAT-positive samples were sequenced and genotyped using previously established procedures.16 HBsAg-positive samples with undetectable HBV DNA using a laboratory developed test (LDT) with a lower limit of detection (LOD) of 500 IU/mL were further tested by ion vapor deposition (IVD) assay with LOD <20 IU/mL.
Definitions
Persons testing negative for anti-HBc were classified as ‘never infected with HBV,’ those testing positive for anti-HBc were considered ‘ever infected with HBV.’ Persons positive for both anti-HBc and HBsAg were classified as ‘currently infected.’ Patients with incomplete or missing anti-HBc results were excluded from the analysis.
Statistical analyses
All data were weighted at cluster, household, and individual levels using 2014 Georgia census data to account for selection probability, non-response, and sampling differences between regions to produce nationally representative estimates. We estimated the national prevalence of anti-HBc and HBsAg positivity as well as coinfections with HCV (both antibody to HCV [anti-HCV] and HCV RNA) and HDV. The results are presented as weighted percentages with 95% confidence intervals (CIs). Statistically significant bivariate associations between anti-HBc/HBsAg positivity and demographic and other risk factors were determined using chi-square tests. All factors found to be statistically significant (P < 0.05) were included in a multivariable logistic regression model. Statistical analysis was conducted using SAS version 9.4 (Cary, North Carolina, USA).
Results
Of the 7000 persons selected to participate in the study, 6296 (89.9%) gave consent and completed the questionnaire, and 6014 (85.9%) completed both the questionnaire and provided a blood specimen. Seven of these respondents were excluded for having missing or inconclusive hepatitis B test results; the final sample comprised valid anti-HBc and HBsAg results from 6007 adults. Demographic and exposure history for the overall sample of study participants is described in the study by Hagan et al.9 In the sample, total anti-HBc positivity was detected in 1634 specimens, of which 188 tested positive for HBsAg. Overall, the weighted prevalence of anti-HBc positivity among adults was 25.9% (95% CI = 24.2–27.6), and the prevalence of HBsAg positivity was 2.9% (95% CI = 2.4–3.5), corresponding to an estimated 80,000 adults living with chronic HBV infection in Georgia. Of 174 HBsAg-positive specimens tested for HBV DNA using the LDT, 97 (55.7%) were positive and 77 had undetectable HBV DNA levels. Of those 77 samples, 40 samples had sufficient volume for an IVD assay test, with 28 (70.0%) testing positive. Thus, out 137 HBsAg-positive specimens that were tested by both HBV DNA assays, 125 (91.2%) tested positive for HBV DNA. Of those, 77 were successfully genotyped; HBV genotype A was identified in 28 (36.4%) specimens, and genotype D was identified in 49 (63.6%) specimens.
Anti-HBc positivity prevalence and risk factors
Anti-HBc positivity prevalence differed significantly by age, with the lowest prevalence among persons aged 18–29 years (11.9%; 95% CI = 9.2–14.5), and highest among those aged ≥70 years (32.7%; 95% CI = 28.4–36.9) (P < .0001) but did not differ by sex (Table 1). Anti-HBc positivity prevalence differed by geographic region, ranging from a low of 18.8% (95% CI = 12.4–25.2) to a high of 33.0% (95% CI = 29.2–36.9; P < .001) (Fig. 1).
Table 1.
Characteristics associated with anti-HBc and HBsAg positivity, Georgia seroprevalence survey, 2015
| Total sample | Anti-HBc+ | HBsAg+ | ||||||
|---|---|---|---|---|---|---|---|---|
| Demographic characteristics | No. | Weighted % | No. | Weighted % (95% CI) | P-Value | No. | Weighted % (95% CI) | P-Value |
| Overall | 6,007 | 100.0 | 1,634 | 25.9 (24.2, 27.6) | 188 | 2.9 (2.4, 3.5) | ||
| Sex | ||||||||
| Male | 2,338 | 46.9 | 676 | 27.0 (24.5, 29.6) | 0.15 | 85 | 3.4 (2.5, 4.3) | 0.10 |
| Female | 3,669 | 53.1 | 958 | 24.9 (22.9, 26.9) | 103 | 2.5 (1.9, 3.2) | ||
| Age (years) | ||||||||
| 18–29 | 1,063 | 19.2 | 138 | 11.9 (9.2, 14.5) | <0.0001 | 45 | 4.2 (2.7, 5.7) | 0.001 |
| 30–39 | 1,140 | 19.9 | 329 | 27.5 (23.9, 31.2) | 64 | 4.5 (3.2, 5.8) | ||
| 40–49 | 1,026 | 18.5 | 320 | 31.1 (26.9, 35.4) | 27 | 2.7 (1.2, 4.1) | ||
| 50–59 | 1,096 | 16.9 | 327 | 28.3 (25.0, 31.7) | 30 | 2.4 (1.3, 3.5) | ||
| 60–69 | 884 | 13.6 | 262 | 27.2 (23.5, 30.9) | 12 | 1.4 (0.4, 2.4) | ||
| 70+ | 798 | 12.0 | 258 | 32.7 (28.4, 36.9) | 10 | 1.3 (0.4, 2.2) | ||
| Urban vs Rural | ||||||||
| Urban | 3,154 | 55.8 | 848 | 24.8 (22.3, 27.3) | 0.16 | 108 | 3.1 (2.2, 3.9) | 0.67 |
| Rural | 2,853 | 44.2 | 786 | 27.3 (24.9, 29.7) | 80 | 2.8 (2.1, 3.5) | ||
| Employment status | ||||||||
| Employed, student, homemaker, retired | 4,940 | 80.2 | 1,335 | 25.8 (23.8, 27.7) | 0.73 | 135 | 2.5 (2.0, 3.1) | 0.001 |
| Unemployed | 1,065 | 19.8 | 298 | 26.4 (23.0, 29.8) | 53 | 4.6 (3.1, 6.1) | ||
| Highest level of education completed | ||||||||
| Elementary/primary school or less | 621 | 9.2 | 162 | 26.0 (21.4, 30.5) | 0.047 | 15 | 2.9 (1.3, 4.6) | 0.13 |
| Secondary school | 2,464 | 40.5 | 697 | 27.3 (24.5, 30.0) | 92 | 3.7 (2.7, 4.7) | ||
| Professional/technical school | 1,110 | 16.7 | 322 | 28.2 (24.8, 31.6) | 27 | 2.4 (1.3, 3.4) | ||
| University/college or higher | 1,811 | 33.6 | 453 | 23.1 (20.4, 25.8) | 54 | 2.4 (1.6, 3.2) | ||
| Healthcare worker, ever | ||||||||
| Yes | 315 | 5.1 | 91 | 26.5 (19.5, 33.4) | 0.87 | -† | 1.7 (0.0, 3.7) | 0.35 |
| No | 5,687 | 94.9 | 1,542 | 25.9 (24.1, 27.6) | 183 | 3.0 (2.4, 3.6) | ||
| Provider who administered last injection | ||||||||
| Healthcare worker | 2,381 | 49.7 | 627 | 24.4 (22.0, 26.8) | 0.01 | 63 | 2.3 (1.6, 3.0) | 0.43 |
| Dentist | 929 | 19.2 | 213 | 24.1 (20.2, 28.0) | 33 | 3.2 (1.9, 4.6) | ||
| Pharmacist | 8 | 0.1 | -* | 33.2 (0.0, 70.9) | -† | 9.9 (0.0, 27.4) | ||
| Non-healthcare worker (family/neighbor) | 1,358 | 25.9 | 421 | 30.7 (27.4, 33.9) | 43 | 3.1 (1.9, 4.3) | ||
| Myself | 281 | 5.1 | 98 | 29.4 (22.1, 36.6) | 13 | 2.8 (0.8, 4.7) | ||
| Ever received kidney dialysis | ||||||||
| Yes | 17 | 0.3 | -† | 57.8 (26.3, 89.4) | 0.02 | -† | 15.1 (0, 38.4) | 0.06 |
| No | 5,973 | 99.5 | 1618 | 25.7 (24.0, 27.4) | 187 | 2.9 (2.4, 3.5) | ||
| Ever received blood transfusion | ||||||||
| Yes | 447 | 7.1 | 158 | 38.3 (32.8, 43.9) | <0.0001 | 22 | 6.0 (3.0, 8.9) | 0.003 |
| No | 5,555 | 92.9 | 1,475 | 24.9 (23.2, 26.7) | 166 | 2.7 (2.2, 3.3) | ||
| Frequency of dental cleanings | ||||||||
| Once/year or more | 671 | 15.1 | 155 | 23.5 (19.1, 27.9) | 0.23 | 19 | 2.6 (1.0, 4.3) | 0.44 |
| Less than once/year | 593 | 11.2 | 167 | 25.4 (21.0, 29.9) | 14 | 2.1 (0.7, 3.5) | ||
| Never | 4,174 | 73.8 | 1,185 | 27.2 (25.3, 29.2) | 140 | 3.3 (2.5, 4.0) | ||
| Ever injected drugs | ||||||||
| Yes | 205 | 4.5 | 107 | 48.1 (38.6, 57.6) | <0.0001 | 15 | 5.6 (0.7, 10.5) | 0.12 |
| No | 5,763 | 95.5 | 1,518 | 24.9 (23.2, 26.6) | 172 | 2.8 (2.3, 3.3) | ||
| Number of lifetime sexual partners | ||||||||
| 0 | 411 | 7.2 | 67 | 16.0 (11.4, 20.6) | <0.0001 | -† | 3.0 (0.3, 5.7) | 0.21 |
| 1–5 | 3,958 | 60.8 | 1,057 | 25.4 (23.3, 27.4) | 113 | 2.5 (1.9, 3.1) | ||
| > 5 | 1,630 | 32.1 | 507 | 29.0 (26.1, 31.9) | 65 | 3.8 (2.5, 5.0) | ||
| Ever had sex with a commercial sex worker (among males) | ||||||||
| Yes | 357 | 15.3 | 120 | 34.0 (27.8, 40.1) | 0.003 | 16 | 5.2 (2.3, 8.1) | 0.08 |
| No | 1,979 | 84.7 | 556 | 25.8 (23.1, 28.4) | 69 | 3.1 (2.2, 4.0) | ||
| Use condoms with sexual partners | ||||||||
| Always | 382 | 8.9 | 78 | 18.5 (13.6, 23.5) | 0.003 | 17 | 3.2 (1.1, 5.2) | 0.99 |
| Sometimes/Often | 1,617 | 33.3 | 436 | 25.2 (21.9, 28.4) | 56 | 3.0 (2.0, 4.0) | ||
| Never | 2,993 | 49.4 | 864 | 28.3 (26.1, 30.5) | 89 | 3.0 (2.2, 3.9) | ||
| Ever incarcerated | ||||||||
| Yes | 236 | 4.8 | 100 | 39.5 (30.3, 48.7) | <0.001 | 15 | 8.0 (2.2, 13.7) | 0.003 |
| No | 5,758 | 95.2 | 1,530 | 25.2 (23.4, 26.9) | 172 | 2.7 (2.2, 3.2) | ||
| Any body piercings | ||||||||
| Yes | 2,714 | 38.9 | 691 | 23.2 (21.3, 25.2) | 0.002 | 81 | 2.6 (1.9, 3.3) | 0.29 |
| No | 3,284 | 61.1 | 939 | 27.5 (25.2, 29.9) | 106 | 3.1 (2.4, 3.9) | ||
| History of any chronic disease | ||||||||
| Yes | 2,791 | 44.0 | 828 | 27.6 (25.5, 29.7) | 0.04 | 81 | 2.7 (1.9, 3.4) | 0.33 |
| No | 3,211 | 56.0 | 805 | 24.5 (22.2, 26.9) | 107 | 3.2 (2.4, 4.0) | ||
Suppressed because of small sample size (<10)
Abbreviations: anti-HBc = anti-hepatitis B core total antibody; HBsAg = hepatitis B surface antigen; CI = confidence interval
Figure 1.
Estimated anti-hepatitis B core total antibody positivity prevalence (95% confidence intervals) by region, Georgia serosurvey, 2015
Bivariate analysis revealed that testing positive for anti-HBc was associated with the type of provider (i.e., a healthcare worker, dentist, or family member) who administered the last therapeutic (medical or dental) injection that a participant reported receiving, history of renal dialysis, ever having received a blood transfusion, history of any other chronic disease, past or present injection-drug use, the number of lifetime sexual partners, having engaged in sex with a commercial sex worker, condom use, history of incarceration, and having a body piercing (P < 0.05 for all) (Table 1).
After adjusting for covariates in a model, significant risk factors for anti-HBc positivity included ever injecting drugs (adjusted odds ratio [aOR] = 2.34; 95% CI = 1.46–3.74); ever having received a blood transfusion (aOR = 1.68; 95% CI = 1.32–2.15); ever having sex with a commercial sex worker (aOR = 1.46; 95% CI = 1.06–2.01); and receipt of last medical injection by a neighbor or family member vs. a healthcare worker (aOR 1.31; 95% CI = 1.07–1.62) (Table 2).
Table 2.
Results of multivariate regression models of the association of anti-HBc and HBsAg positivity with selected variables, Georgia seroprevalence survey, 2015
| Anti-HBc |
HBsAg |
|||
|---|---|---|---|---|
| Characteristic | Unadjusted OR (95%CI) | Adjusted OR† (95%CI) | Unadjusted OR (95%CI) | Adjusted OR† (95%CI) |
| Age (years) | ||||
| 18–29 | Ref | Ref | Ref | Ref |
| 30–39 | 2.83 (2.08, 3.84) | 2.71 (2.00, 3.68) | 1.07 (0.66, 1.72) | 1.03 (0.65, 1.63) |
| 40–49 | 3.36 (2.51, 4.50) | 2.90 (2.15, 3.90) | 0.63 (0.31, 1.25) | 0.57 (0.30, 1.10) |
| 50–59 | 2.94 (2.17, 4.00) | 2.55 (1.88, 3.46) | 0.56 (0.30, 1.03) | 0.50 (0.28, 0.89) |
| 60–69 | 2.78 (2.04, 3.79) | 2.49 (1.78, 3.48) | 0.33 (0.15, 0.74) | 0.33 (0.14, 0.75) |
| 70+ | 3.61 (2.66, 4.88) | 3.10 (2.19, 4.41) | 0.31 (0.14, 0.67) | 0.32 (0.14, 0.74) |
| Employment status | ||||
| Employed, student, homemaker, retired | --‡ | -- | Ref | Ref |
| Unemployed (able or unable to work) | -- | -- | 1.88 (1.28, 2.74) | 1.41 (0.96, 2.09) |
| Highest level of education completed | ||||
| Elementary/primary school or less | 1.17 (0.88, 1.55) | 1.10 (0.81, 1.49) | -- | -- |
| Secondary school | 1.25 (1.03, 1.51) | 1.24 (1.03, 1.50) | -- | -- |
| Professional/technical school | 1.25 (1.03, 1.51) | 1.24 (0.99, 1.57) | -- | -- |
| University/college or higher | Ref | Ref | -- | -- |
| Provider who administered last injection | ||||
| Healthcare worker | Ref | Ref | -- | -- |
| Dentist | 0.99 (0.78, 1.24) | 1.10 (0.86, 1.40) | -- | -- |
| Pharmacist | 1.54 (0.28, 8.33) | 1.55 (0.24, 10.05) | -- | -- |
| Non-HCW (family/neighbor) | 1.37 (1.12, 1.68) | 1.31 (1.07, 1.62) | -- | -- |
| Myself | 1.29 (0.89, 1.87) | 1.04 (0.71, 1.51) | -- | -- |
| Ever received kidney dialysis | ||||
| Yes | 3.97 (1.08, 14.53) | 2.53 (0.76, 8.47) | -- | -- |
| No | Ref | Ref | -- | -- |
| Ever received blood transfusion | ||||
| Yes | 1.87 (1.48, 2.37) | 1.68 (1.32, 2.15) | 2.28 (1.31, 4.00) | 2.72 (1.54, 4.80) |
| No | Ref | Ref | Ref | Ref |
| Injection drug use (ever) | ||||
| Yes | 2.80 (1.91, 4.09) | 2.34 (1.46, 3.74) | -- | -- |
| No | Ref | Ref | -- | -- |
| Number of lifetime sexual partners | ||||
| 0 | Ref | Ref | -- | -- |
| 1–5 | 1.78 (1.25, 2.54) | 0.84 (0.51, 1.37) | -- | -- |
| > 5 | 2.14 (1.47, 3.12) | 0.86 (0.49, 1.50) | -- | -- |
| Sex with a commercial sex worker (among males) | ||||
| Yes | 1.48 (1.10, 1.99) | 1.46 (1.06, 2.01) | -- | -- |
| No | Ref | Ref | -- | -- |
| Use condoms with sexual partners | ||||
| Always | Ref | Ref | -- | -- |
| Sometimes/Often | 1.48 (1.02, 2.15) | 1.24 (0.83, 1.86) | -- | -- |
| Never | 1.74 (1.25, 2.42) | 1.48 (1.00, 2.17) | -- | -- |
| Ever incarcerated | ||||
| Yes | 1.94 (1.32, 2.86) | 1.33 (0.88, 2.02) | 3.14 (1.41, 6.99) | 2.72 (1.25, 5.93) |
| No | Ref | Ref | Ref | Ref |
| Any body piercings | ||||
| Yes | 0.80 (0.69, 0.92) | 0.90 (0.74, 1.10) | -- | -- |
| No | Ref | Ref | -- | -- |
| History of any chronic disease | ||||
| Yes | 1.17 (1.01, 1.36) | 0.95 (0.81, 1.12) | -- | -- |
| No | Ref | Ref | -- | -- |
Adjusted models included all variables associated with the outcome (p<0.05) in bivariate analysis
Omitted due to lack of association in bivariate analysis
Abbreviations: anti-HBc = anti-hepatitis B core total antibody; HBsAg = hepatitis B surface antigen; OR = odds ratio; CI = confidence interval; HCW = healthcare worker
HBsAg positivity prevalence and risk factors
HBsAg positivity prevalence varied by age, with the highest prevalence of infection among the youngest age-groups including those aged 18–29 years (4.2%; 95% CI = 2.7–5.7) and 30–39 years (4.5%; 95% CI = 3.2–5.8), whereas the lowest prevalence was among those aged ≥70 years (1.3%; 95% CI = 0.4–2.2) (Table 1). HBsAg positivity prevalence was significantly higher (4.6%; 95% CI = 3.1–6.4) among those who self-reported being unemployed at the time of the survey than among others (2.5%; 95% CI = 2.0–3.1) (P < 0.001). In bivariate analysis, testing positive for HBsAg was associated with ever having received a blood transfusion (P < 0.01) and a history of incarceration (P < 0.01). These associations remained significant after adjusting for all covariates significant in bivariate analysis, with aORs of 2.72 (95% CI = 1.54–4.80) and 2.72 (95% CI = 1.25–5.93), respectively.
Coinfection with hepatitis C or hepatitis D
Anti-HBc positivity was associated with both past and current HCV infection. Among anti-HBc-positive persons, 12.9% (95% CI = 10.2–15.5) were anti-HCV positive, compared to 5.9% (95% CI = 4.8–7.0) of anti-HBc-negative persons (P < 0.0001; data not shown). Likewise, 9.2% (95% CI = 6.9–11.6) of anti-HBc-positive persons were HCV RNA positive, compared with 4.1% (95% CI = 3.2–4.9) among those never infected with HBV (P < 0.0001).
Among HBsAg-positive persons, 13.3% (95% CI = 5.8–20.8) were anti-HCV positive and 9.8% (95% CI = 2.6–17.0) were HCV RNA positive, although these were not significantly higher than those in HBsAg-negative persons (7.5%; 95% CI = 6.4–8.6 and 5.3%; 95% CI = 4.4–6.2, respectively [P > 0.05]).
Among HBsAg positive persons, 0.9% (95% CI = 0.0–2.0) were positive for HDV RNA (n = 4/175 [2.3%] of samples tested). All HDV specimens were genotype 1.
Hepatitis B vaccination
Overall, 1.1% (95% CI = 0.8–1.4) of the surveyed population reported ever having been vaccinated against hepatitis B (data not shown), although the number of doses received could not be verified. Vaccination coverage was highest (2.1%) among those aged 18–29 years, and lowest (0.2%) among those aged ≥60 years (P < 0.001). Of the 798 participants aged ≥70 years, none could recall having been vaccinated against hepatitis B.
Hepatitis B-related knowledge
Slightly more than one third of participants (36.7%; n = 2004) had ever heard of hepatitis B or HBV. About one in five participants (20.6%; n = 1093) was aware that HBV could be transmitted by sharing needles or syringes, and 18.7% (n = 1010) were aware HBV could be transmitted by sharing household objects such as razors. Only 8.7% (n = 461) knew it was vaccine-preventable and 15.4% (n = 819) knew that condom use could prevent HBV infection. Of those who had heard of HBV, 42.8% (n = 884) were aware that this infection could be treated, and 42.5% (n = 849) knew that it could be asymptomatic.
Discussion
This is the first serosurvey to report hepatitis B prevalence on a national scale in Georgia. Overall, the rate of current or past HBV infection (anti-HBc) was 25.9%, and the prevalence of chronic HBV infection, defined by prevalence of HBsAg positivity, was 2.9%. A study conducted in 2006–2007 among healthcare workers in Georgia found similar prevalence of anti-HBc (29%) and HBsAg (2%) positivity.17
Georgia’s anti-HBc positivity prevalence is high, but the country has low to intermediate HBsAg positivity prevalence (defined as 2.00%–4.99%) compared to other countries in the World Health Organization European region.18 Risk factors associated with HBV infection included injection drug use, receipt of a blood transfusion, history of incarceration, sex with a commercial sex worker, and receipt of therapeutic injections from family members. Overall, these findings highlight the need to address blood safety, harm reduction for people who inject drugs, and unsafe infection control practices — issues currently being addressed by the hepatitis C elimination program.4
A quarter of respondents reported that their last therapeutic injection was from a neighbor or family member, suggesting the need to better understand the degree to which ‘informal’ healthcare practices are used in the country and to better communicate the risk of unsafe injections in transmitting HBV and HCV.
This analysis is the first to our knowledge to report nationally representative data on HBV/HDV coinfection. HDV infection burden is reported to be substantial in several countries of Eastern Europe and Central Asia.19–20 Globally, approximately 5% of HBsAg carriers are estimated to be coinfected with HDV.21 Although nationally representative data are lacking from most countries, several studies indicate that HDV coinfection burden covers a large spectrum, from 1.6% in Central Asia (South Kazakhstan),22 18.3% in Eastern Europe (Moldova),23 to 57% in Mongolia.24 In comparison, hepatitis D prevalence in Georgia among those currently infected with HBV is low (0.9%).
It is noteworthy that HBsAg positivity prevalence was highest and anti-HBc positivity prevalence was lowest among the youngest age cohorts (age of 18–39 years). This finding suggests that most HBV infections in Georgia likely occurred either perinatally from mother to child or horizontally during childhood when the risk of chronic infection is highest.2 Routine hepatitis B vaccination was included in the national immunization schedule in 2002, and the hepatitis B birth dose was introduced in 2003, so persons in this survey would not have benefitted from childhood and birth dose vaccination programs. Cohorts of Georgian children born after 2002 and 2003 will benefit from the protection of hepatitis B vaccination.25 In addition, a dose of hepatitis B immunoglobulin (HBIG) is administered to infants born to pregnant women who have been screened and test positive for HBsAg since August 2006.26 In 2017–2018, out of 103,828 registered live births, HBIG was administered to 1532 (1.5%) newborns.25 Given these development, Georgia could consider implementation of a hepatitis B serosurvey among cohorts born after vaccine introduction to assess the impact of vaccination on disease burden and report on progress towards the achievement of the European region hepatitis B control goal of HBsAg <0.5% among vaccinated cohorts by 202027 and global goal of elimination which is defined as HBsAg<0.1% among children aged 5 years by 2030.1 In addition, in 2019, the government of Georgia approved a decree mandating hepatitis B vaccination be made available to all healthcare workers.28 Fewer than 9% of persons were aware that hepatitis B can be prevented with a vaccine, suggesting public awareness campaigns could boost vaccination uptake among older populations.
Several key risk factors for HBV infection identified in this analysis were also found to be associated with HCV infection in Georgia, including history of incarceration (in bivariate analyses), receipt of a blood transfusion, and past or current injection-drug use.9 HBV and HCV, both blood-borne pathogens, are known to have similar modes of transmission,29 and nearly 10% of HBsAg-positive persons in this analysis were coinfected with HCV. Coinfection can increase the likelihood of developing cirrhosis, decompensated liver disease, and hepatocellular carcinoma.30 Georgia’s hepatitis C elimination program was launched in 2015 and offers hepatitis C treatment free of charge; however, there is currently no such program for hepatitis B treatment. Nonetheless, the public health infrastructure established for hepatitis C screening and treatment as part of the hepatitis C elimination program could be leveraged to support hepatitis B elimination as well.4–6 Furthermore, Georgia can take advantage of reductions in the price of hepatitis B antivirals observed globally to improve treatment access.31 Cost-effectiveness studies and modeling for hepatitis B elimination are needed to further inform the Georgian government’s consideration of undertaking hepatitis B elimination.
This analysis was subject to several limitations. Owing to its cross-sectional design, causal associations are difficult to be made; hepatitis B could have been acquired at any time and in any setting before survey participation. Risk factor data were self-reported and could not be independently verified and could be subject to recall and social desirability bias. Our survey only included persons ≥18 years of age who were not eligible for hepatitis B vaccination at the time of birth, so hepatitis B prevalence could not be estimated for persons in younger age-groups and children who were born after vaccine introduction. However, lower HBV infection rates are anticipated among children born after hepatitis B vaccine introduction. In addition, currently incarcerated persons were not surveyed in this analysis, which could lead to underestimation of national prevalence of hepatitis B. Demographic and behavioral differences between survey participants who did or did not provide a blood specimen could have skewed results. The relatively low number of HBsAg-positive persons sampled prevented reliable analysis of regional HBsAg prevalence and likely affected risk factor analysis, which could explain differences observed between anti-HBc and HBsAg positivity, especially with respect to injection drug use (IDU) and sex with a commercial sex worker. The sampling method of this study was not designed to produce precise prevalence estimates for HDV infection; owing to low prevalence among the sampled population, national estimates should be interpreted with caution.
To conclude, the overall rate of exposure to HBV in Georgia is high, suggesting significant transmission, although the prevalence of chronic HBV infection is low to intermediate. Considering the overlap in population and risk factors for HCV and HBV infection, existing programs and efforts within the ongoing national hepatitis C elimination program may be mitigating the risk of continued HBV transmission in the country; preventive measures aimed at reducing the risk of HCV transmission will also reduce the risk of HBV infection. The future burden of hepatitis B in Georgia will also decrease as a result of childhood vaccinations begun in the early 2000s. Nevertheless, more than 80,000 adults are estimated to be living with chronic HBV infection and are at risk for sequelae including cirrhosis and hepatocellular carcinoma, as well as continued transmission to additional susceptible individuals. Incorporating hepatitis B into Georgia’s successful ongoing hepatitis C elimination efforts offers an opportunity for Georgia to be among the first countries in the region to undertake hepatitis B elimination. Studies to assess the feasibility and cost-effectiveness of undertaking hepatitis B elimination in Georgia could help inform policy decisions.
Acknowledgments
Funding
All funding for this study came from the US Centers for Disease Control and Prevention and the Georgia National Center for Disease Control.
Footnotes
Competing interests
None declared.
Disclaimer
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the U.S. Centers for Disease Control and Prevention.
Ethical approval
Ethical approval was not required. This survey was deemed by the Centers for Disease Control and Prevention to be a routine public health activity for public health surveillance and therefore judged to not involve human subject research.
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