| Literature DB >> 34752631 |
Alexander J Stockdale1,2, James E Meiring1,3, Isaac T Shawa1,4, Deus Thindwa1,5, Niza M Silungwe1, Maurice Mbewe1, Rabson Kachala6, Benno Kreuels7,8,9, Pratiksha Patel1, Priyanka Patel1, Marc Y R Henrion1,10, Naor Bar-Zeev11, Todd D Swarthout1,12, Robert S Heyderman12, Stephen B Gordon1,10, Anna Maria Geretti13, Melita A Gordon1,2.
Abstract
BACKGROUND: Hepatitis B is the leading cause of cirrhosis and liver cancer in sub-Saharan Africa. To reduce mortality, antiviral treatment programs are needed. We estimated prevalence, vaccine impact, and need for antiviral treatment in Blantyre, Malawi.Entities:
Keywords: Africa; Malawi; antiviral agents; epidemiology; hepatitis B; public health; south of the Sahara; vaccination
Mesh:
Substances:
Year: 2022 PMID: 34752631 PMCID: PMC9470106 DOI: 10.1093/infdis/jiab562
Source DB: PubMed Journal: J Infect Dis ISSN: 0022-1899 Impact factor: 7.759
Figure 1.Flowchart of census and recruitment to the serological survey and community hepatitis B virus treatment evaluation study. Abbreviation: HBsAg, hepatitis B surface antigen.
Figure 2.Distribution of age (in years) and sex in the serosurvey relative to the demographic census. Serosurvey age distribution is layered over census distribution data.
Figure 3.Prevalence of hepatitis B surface antigen stratified by age and sex groups and hepatitis B virus vaccine coverage. Vaccine coverage is shown among serosurvey participants born after implementation of the vaccine in 2002. Tabulated age and sex stratified prevalence data are shown in Supplementary Material 6. Abbreviation: HBsAg, hepatitis B surface antigen.
Prevalence of Hepatitis B Surface Antigen Stratified by Birth Date and Vaccination Status
| Population | Crude HBsAg Prevalence | Population Standardized HBsAg Prevalence, % (95% CI)[ | Risk Ratio (95% CI) |
| |
|---|---|---|---|---|---|
| Frequency | % (95% CI) | ||||
| All individuals | 160/6073 | 2.6 (2.3–3.1) | 3.2 (2.7–3.7) | ||
| Birth date relative to vaccine introduction[ | |||||
| 5 y before vaccine | 15/500 | 3.0 (1.8–4.9) | 2.9 (1.8–4.7) | Reference | |
| 5 y after vaccine | 1/758 | 0.1 (.02–.7) | 0.1 (.02–.8) | 0.04 (.06–.29) | .001 |
| 10 y before vaccine | 30/884 | 3.4 (2.4–4.8) | 3.6 (2.5–5.1) | Reference | |
| 10 y after vaccine | 5/1932 | 0.3 (.1–.6) | 0.2 (.1–.6) | 0.07 (.03–.17) | <.0001 |
| All before vaccine | 152/3280 | 4.6 (4.0–5.4) | 5.1 (4.3–6.0) | Reference | |
| All after vaccine | 9/2793 | 0.3 (.2–.6) | 0.3 (.2–.6) | 0.06 (.03–.12) | <.0001 |
| Vaccination status for age ≤10 y | |||||
| Completed 3 doses | 3/1141 | 0.3 (.1–.8) | 0.2 (.1–.8) | Reference | |
| Unknown status[ | 5/913 | 0.5 (.2–1.3) | 0.6 (.2–1.4) | 2.3 (.5–10.2) | .26 |
| Incomplete[ | 0/31 | 0.0 (.0–11.0) | … | … | |
Abbreviations: CI, confidence interval; HBsAg, hepatitis B surface antigen.
Standardized to census age and sex distribution.
Hepatitis B vaccination was introduced on 1 January 2002.
Participants born after vaccine introduction for whom vaccination status could not be ascertained from parent, guardian, or documentation; vaccine status was ascertained for 1172/2085 (56.2%) children aged ≤10 years.
Received 0, 1, or 2 doses.
Participant Characteristics Associated With Hepatitis B Infection in the Serosurvey: Binomial Logistic Regression Model
| Characteristic | Univariate Odds Ratio (95% CI) |
| Multivariable Model, Odds Ratio (95% CI)[ |
|
|---|---|---|---|---|
| Age, per y | 1.03 (1.03–1.04) | <.001 |
| |
| Age group, y | <.001 | <.001 | ||
| 0–14 | 0.09 (.04–.18) | … | ||
| 15–29 | Reference | Reference | ||
| 30–44 | 1.82 (1.22–2.73) | 1.80 (.87–3.72) | ||
| 45–59 | 0.81 (.45–1.46) | 1.49 (.56–3.98) | ||
| >60 | 0.74 (.35–1.56) | 0.55 (.20–1.50) | ||
| Birth date | <.001 | |||
| Born prior to vaccine | Reference | |||
| Born after vaccine | 0.06 (.03–.11) | |||
| Sex, male vs female | 1.46 (1.04–2.03) | .03 | 1.60 (1.06–2.41) | .02 |
| Marital status[ | .08 | .21 | ||
| Single | Reference | Reference | ||
| Married | 1.58 (1.00–2.49) | 1.51 (.75–3.02) | ||
| Separated/divorced | 2.73 (1.12–6.64) | 2.89 (.96–8.67) | ||
| Widowed | 0.96 (.39–2.36) | 1.67 (.53–5.22) | ||
| Education[ | .79 | |||
| Primary | Reference | |||
| Secondary | 1.07 (.72–1.59) | |||
| Vocational | 0.63 (.23–1.78) | |||
| University | 1.44 (.57–3.61) | |||
| None | 1.36 (.37–4.96) | |||
| Employment[ | .01 | |||
| Unemployed | Reference | |||
| Student | 0.93 (.40–2.16) | |||
| Self-employed | 2.44 (1.28–4.64) | |||
| Paid employee | 2.20 (1.11–4.38) | |||
| Unpaid family worker | 1.30 (.62–2.72) | |||
| Retired | 1.65 (.22–12.60) | |||
| Socioeconomic status[ | .49 | |||
| Highest quintile | Reference | |||
| 2nd highest quintile | 1.21 (.62–2.37) | |||
| Middle quintile | 0.73 (.36–1.49) | |||
| 2nd poorest quintile | 1.11 (.57–2.17) | |||
| Poorest quintile | 1.10 (.56–2.17) |
Multivariable model considers individuals aged ≥16 years and includes a cubic spline variable for age to account for change in prevalence with respect to age.
Education, employment, marital status, and socioeconomic status data are applicable to individuals aged >16 years.
Socioeconomic quintiles were derived for the 44 health surveillance areas in the serosurvey in which the participants resided.
Figure 4.Outcomes of community clinical evaluation for HBV treatment eligibility. Area is proportional to the number of people in each group. Treatment eligibility criteria are considered only for HIV-negative individuals, as all HIV-positive people should receive ART containing TDF/3TC. Abbreviations: 3TC, lamivudine; AASLD, American Association for the Study of the Liver; ART, antiretroviral therapy; EASL, European Association for Study of the Liver; HBsAg, hepatitis B surface antigen; HBV, hepatitis B virus; HIV, human immunodeficiency virus; TDF, tenofovir disoproxil fumarate; WHO, World Health Organization.
Characteristics of Participants and Outcome of Community Evaluation of HBV Treatment Eligibility
| Characteristic | All Participants | HIV-Positive Population[ | HIV-Negative Population |
|---|---|---|---|
| Age, y, median (IQR) | 36 (29–41) | 39 (36–47) | 34 (27–38) |
| Sex, female | 49 (52) | 14 (58) | 35 (51) |
| CD4 count, cells/mm3, median (IQR)[ | 519 (412–577) | ||
| On ART | 16/24 (67) | ||
| On TDF or 3TC | 16/24 (67) | ||
| Signs of CLD | 3 (3) | 1 (4) | 2 (3) |
| Past medical history | |||
| History of tuberculosis | 7 (7) | 6 (25) | 1 (1) |
| Diabetes | 1 (1) | 0 (0) | 1 (1) |
| Renal disease | 1 (1) | 0 (0) | 1 (1) |
| Hypertension | 1 (1) | 0 (0) | 1 (1) |
| Alcohol consumption | |||
| Abstinent | 59 (63) | 12 (50) | 47 (68) |
| Low risk | 23 (25) | 9 (38) | 14 (20) |
| Hazardous | 10 (11) | 3 (13) | 6 (9) |
| Harmful | 1 (1) | 0 (0) | 1 (1) |
| Alcohol dependence | 1 (1) | 0 (0) | 1 (1) |
| Hepatitis D and C serology | |||
| Anti-HDV | 2 (2) | 0 (0) | 2 (3) |
| HCV Ag/Ab | 0 (0) | 0 (0) | 0 (0) |
| Hepatitis B viral markers | |||
| HBeAg | 10 (11) | 6 (25) | 4 (6) |
| HBV DNA, IU/mL, median (IQR) | 81 (<32–801) | <32 (<32–<32) | 215 (51–2880) |
| HBV DNA>2000 IU/mL | 19 (20) | 0 (0) | 19 (28) |
| HBV DNA>20000 IU/mL | 11 (12) | 0 (0) | 11 (16) |
| ALT, IU/L, median (IQR)[ | 10 (8–13) | 12 (10–15) | 9 (8–12) |
| ALT>ULN | 2 (2) | 0 (0) | 2 (3) |
| ALT>2× ULN | 0 (0) | 0 (0) | 0 (0) |
| Liver stiffness, kPa, median (IQR) | 4.8 (4.0–6.4) | 4.5 (4.0–5.4) | 5.1 (4.0–6.9) |
| ≥7.9 kPa | 10 (11) | 1 (4) | 9 (9) |
| ≥9.5 kPa | 4 (4) | 1 (4) | 3 (4) |
Data are No. (%) except where indicated.
Abbreviations: 3TC, lamivudine; Ag/Ab, antigen/antibody; ALT, alanine transaminase; ART, antiretroviral therapy; CD4, cluster of differentiation 4; CLD, chronic liver disease; HBeAg, hepatitis B e antigen; HBV, hepatitis B virus; HCV, hepatitis C virus; HDV, hepatitis D virus; HIV, human immunodeficiency virus; IQR, interquartile range; TDF, tenofovir disoproxil fumarate; ULN, upper limit of normal.
One participant did not consent to HIV testing.
CD4 count available for 21/23 (91%) of HIV-positive individuals.
The assay upper limit of normal was 32 U/L.