Epidemiology of hepatitis B virus infection in people living in poverty in the central-west region of Brazil

Occurrence of hepatitis B and C virus infection in socioeconomic population strata from Recife, Pernambuco, Northeast Brazil

OBJECTIVE

To estimate the probability of infection with hepatitis B (HBV) and C (HCV) viruses in different socioeconomic strata of the population of Recife, Northeast Brazil.

METHODS

Study carried out from samples obtained in a survey of residents of a large urban center that had a population base and stratified sampling with random selection of households using the "Brazil Sample" package in the R software. HBV (HBsAg) and anti-HCV was performed using immunochromatographic tests. In cases positive for HBsAg, anti-HBc and HBeAg were tested using chemiluminescence, as well as HBV-DNA using real-time PCR. For cases positive for anti-HCV, the search for this antibody was repeated by chemiluminescence and for HCV-RNA by real-time PCR. The occurrence of HBsAg and anti-HCV cases in the general population was estimated based on a theoretical negative binomial distribution.

RESULTS

Among 2,070 samples examined, 5 (0.24%) were HBsAg and 2 (0.1%) anti-HCV positive. The majority of cases had self-reported skin color as black/brown (6/7), education level up to high school (6/7), a steady partner (5/7) and lived in an area of low socioeconomic status (5/7).

CONCLUSION

The occurrence of HBsAg and anti-HCV was lower than those previously found in population-based studies and slightly lower than the most recent estimates. Individuals with lower socioeconomic status should be a priority target of public health policies.

Machine learning for predicting hepatitis B or C virus infection in diabetic patients

Highly prevalent hepatitis B and hepatitis C virus (HBV and HCV) infections have been reported among individuals with diabetes. Given the frequently asymptomatic nature of hepatitis and the challenges associated with screening in some vulnerable populations such as diabetes patients, we conducted an investigation into the performance of various machine learning models for the identification of hepatitis in diabetic patients while also evaluating the significance of features. Analyzing NHANES data from 2013 to 2018, machine learning models were evaluated; random forest (RF), support vector machine (SVM), eXtreme Gradient Boosting (XGBoost), and least absolute shrinkage and selection operator (LASSO) along with stacked ensemble model. We performed hyperparameter tuning to improve the performance of the model, and selected important predictors using the best performance model. LASSO showed the highest predictive performance (AUC-ROC = 0.810) rather than other models. Illicit drug use, poverty, and race were highly ranked as predictive factors for developing hepatitis in diabetes patients. Our study demonstrated that a machine-learning-based model performed optimally in the detection of hepatitis among diabetes patients, achieving high performance. Furthermore, models and predictors evaluated from the current study, we expect, could be supportive information for developing screening or treatment methods for hepatitis care in diabetes patients.

TBX5 Variants are Associated with Susceptibility to and the Incidence of Liver Cirrhosis and Hepatocellular Carcinoma in the Chinese Population: A Multicenter and Follow-Up Study

Purpose

Liver cirrhosis (LC) and hepatocellular carcinoma (HCC) are progressions affected by genetic predispositions, and persistent hepatitis B virus infection also demonstrates genetic susceptibility. All HBV-related outcomes have been compared in parallel to identify risk polymorphism in HBV progression.

Methods

The multiple-stage association study filtered and validated the risk SNPs for HBV progression and explored their association with persistent infection, with a total of 8906 subjects in China from three sites. Cox proportional hazards models and Kaplan-Meier Log rank tests were used to determine the time to the progressive event in relation to the risk SNPs.

Results

Rs3825214 in TBX5 replicated a specific association with LC and HCC in 4 progression cohorts and was not related to persistent infection, naivety to HBV infection and natural clearance in 3 persistent cohorts. In combined samples, rs3825214 was associated with an increased risk of LC (P<0.001; OR = 1.98) and HCC (P<0.001; OR = 1.68). The results of bioinformatics analysis indicated that rs3825214 genotypes change RNA structure and intron excision ratio. In the follow-up of 571 hospital-based persistent HBV infection patients, ninety-three (16.29%) developed LC, and seventy-four (12.96%) progressed to HCC at a median follow-up of 5.1 years. Rs3825214 was associated with HCC and LC events in Cox proportional hazards models (P<0.001).

Conclusion

We identified and confirmed that genetic variants in TBX5 are significantly associated with susceptibility to and the incidence of LC and HCC.

Hepatitis B and C prevalence in waste pickers: a global meta-analysis

BACKGROUND

The objective of this research was to use a meta-analysis to understand the prevalence of hepatitis B or C in waste pickers worldwide.

METHODS

Epidemiological studies on hepatitis B and C in waste pickers were included adopting a systematic review with meta-analysis. Each selected article had its quality scored by all authors, evaluated according to the Loney's criteria, and evaluated for quality and bias verified with a funnel plot.

RESULTS

After employing Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines, there were 12 studies used for this meta-analysis. The rate of hepatitis B seropositivity was 0.15 (95% CI 0.10-0.20), and hepatitis C was 0.08 (95% CI 0.04-0.12). This information suggests that waste pickers are exposed to many risks associated with poor quality of life working conditions as well as low health literacy rates.

CONCLUSION

The results of this meta-analysis confirm the vulnerability of waste pickers to hepatitis B and C infection and reinforce the importance of using personal protective equipment and immunizing workers.

Hepatitis B and circadian rhythm of the liver

The circadian rhythm in humans is determined by the central clock located in the hypothalamus's suprachiasmatic nucleus, and it synchronizes the peripheral clocks in other tissues. Circadian clock genes and clock-controlled genes exist in almost all cell types. They have an essential role in many physiological processes, including lipid metabolism in the liver, regulation of the immune system, and the severity of infections. In addition, circadian rhythm genes can stimulate the immune response of host cells to virus infection. Hepatitis B virus (HBV) infection is the leading cause of liver disease and liver cancer globally. HBV infection depends on the host cell, and hepatocyte circadian rhythm genes are associated with HBV replication, survival, and spread. The core circadian rhythm proteins, REV-ERB and brain and muscle ARNTL-like protein 1, have a crucial role in HBV replication in hepatocytes. In addition to influencing the virus's life cycle, the circadian rhythm also affects the pharmacokinetics and efficacy of antiviral vaccines. Therefore, it is vital to apply antiviral therapy at the appropriate time of day to reduce toxicity and improve the effectiveness of antiviral treatment. For these reasons, understanding the role of the circadian rhythm in the regulation of HBV infection and host responses to the virus provides us with a new perspective of the interplay of the circadian rhythm and anti-HBV therapy. Therefore, this review emphasizes the importance of the circadian rhythm in HBV infection and the optimization of antiviral treatment based on the circadian rhythm-dependent immune response.

Analysis of the association between areal socioeconomic deprivation levels and viral hepatitis B and C infections in Japanese municipalities

Background

We investigated the association between municipal socioeconomic deprivation levels and the positivity of hepatitis B surface antigen (HBsAg) and the prevalence of hepatitis C virus (HCV) among individuals who have never participated in hepatitis screening using Japanese national screening data.

Methods

The hepatitis virus screening data analyzed included the 5-year age group-specific number of participants aged 40 years or older, number of HBsAg-positive persons, and number of HCV carriers for each municipality from 2013 to 2017. Principal component analysis was used to derive a socioeconomic deprivation level using the socioeconomic characteristics of municipalities. Bayesian spatial Poisson regression analysis was conducted to investigate the association between the socioeconomic deprivation level and the results of screening. Data on 1,660 municipalities were used in the analysis.

Results

The data of 4,233,819 participants in the HBV screening and 4,216,720 in the HCV screening were used in the analysis. A principal component interpreted as level of rurality (principal component 1) and another principal component interpreted as level of low socioeconomic status among individuals (principal component 2) were extracted as the major principal components. Their principal component scores were used as the deprivation levels of municipalities. Spatial regression analysis showed that the deprivation level derived from the sum of the scores of principal components 1 and 2 was significantly and positively associated with HBsAg positivity and HCV prevalence. In addition, the deprivation level derived only from the score of principal component 2 was also significantly and positively associated with the outcomes. Conversely, the deprivation level derived only from the score of principal component 1 was not associated with the outcomes. Moreover, population density was significantly and positively associated with HBsAg positivity and HCV prevalence.

Conclusions

This study suggested that participation in hepatitis virus screening is important and meaningful, particularly for areas with a higher lower socioeconomic level in Japan.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13089-w.

Cross-sectional study of chronic hepatitis B virus infection in Rwandan high-risk groups: unexpected findings on prevalence and its determinants

Objectives

Using secondary data from 208 079 Rwandans, we determined the prevalence of chronic hepatitis B virus (HBV) infection among high-risk groups and its demographic, geographical and health-related determinants.

Design

In this cross-sectional study, we obtained and analysed data from a national hepatitis B vaccination and screening campaign conducted in Rwanda in 2017. We performed logistic regression to examine associations between chronic HBV infection and related factors such as risk status and geographical characteristics.

Setting

Individuals were sampled nationally in all 30 districts across 4 provinces and the city of Kigali and all prisons in Rwanda.

Participants

The study involves 208 079 individuals at high risk including prisoners and other high-risk groups (oHRG).

Main outcome

The primary outcome for our study was hepatitis B surface antigens (HBsAg) prevalence.

Findings

From 208 079 adults participants, 206 517 (99.2%) had valid HBsAg results, 4.3% of 64 944 prisoners and 4.0% of 140 985 oHRG were HBV positive. The prevalence was higher in Northern Province 5.1%, (95% CI 4.8 to 5.4). In multivariate analysis, the odds of infection decreased with increasing age, and hepatitis C antibody positivity reduced the odds for chronic HBV (OR 0.58, 95% CI 0.52 to 0.66 and OR 0.74, 95% CI 0.62 to 0.89 among oHRG and prisoners, respectively). In addition, being female was associated with lower odds of HBV (OR 0.70, 95% CI 0.66 to 0.74 and OR 0.80, 95% CI 0.65 to 0.98 among oHRG and prisoners, respectively).

Conclusion

We found that individuals below 55 years of age and individuals who belong to high-risk groups (ie, sex workers, injection drug users, men who have sex with men, etc) have a higher probability of chronic HBV infection. Infection with chronic hepatitis C virus was not correlated with chronic HBV infection in our study population. Potential explanations include differential routes of transmission, specific immunological and pathophysiological factors or different effects of health prevention and control programmes.

Prevalence of Hepatitis B Virus Infection and Factors Associated with Hepatitis B Virus Infection Among Pregnant Women Presented to Antenatal Care Clinics at Adigrat General Hospital in Northern Ethiopia

Background

Hepatitis B infection is among the most common public health concerns globally, particularly in low- and middle-income countries. The prevalence of hepatitis B infection is more common among most vulnerable populations, including pregnant women. However, there are limited studies on hepatitis B virus infection among pregnant women in low-income countries, including Ethiopia, and the previous studies focused on the general population rather than the pregnant women. The purpose of this study was to estimate the prevalence and examine factors associated with hepatitis B virus infection among pregnant women in the Northern Ethiopia.

Methods

nstitution-based cross-sectional study design and a structured face-to-face interview were used to collect data from the study participants. Simple random sampling method was used to select eligible study participants. Data were entered using EpiData version 3.1, and SPSS version 20 was used for the data analysis. We analyzed the data to examine factors associated with hepatitis B virus infection using binary and multivariable logistic regression models.

Results

The overall prevalence of hepatitis B virus infection among the study participants was 9.2%. The majority (46.7%) of the study participants infected by hepatitis B were in the age group 25-34 years. The study found that married study participants were more likely to be infected by hepatitis B when compared to the unmarried study participants. Having history of abortion [OR = 0.12 (95% CI: 0.03, 0.47), P < 0.01] and having history of tattooing [OR = 0.21 (95% CI: 0.07, 0.62), P < 0.01] were found to be statistically significantly associated with the prevalence of hepatitis B virus infection among pregnant women.

Conclusion

A significant number of pregnant women participating in the study were infected by the hepatitis B virus which needs efficient intervention to reduce the infection rate. Further, educational status, having history of surgery, dental procedure, ear piercing, abortion and tattooing were found statistically to be significant before controlling for confounders. But, after controlling for confounders, only having history of tattooing and having history of abortion were found to be independent factors affecting the prevalence of the infection.

Association Between Income and Hepatitis B Seroprevalence: A Systematic Review and Meta-analysis

Context: Hepatitis B serology is very important for both diagnosis and treatment of the diseases. However, evidence regarding the association between income and hepatitis B seroprevalence are not sufficient to make a definitive conclusion. Objectives: This meta-analysis aimed to investigate the association between income inequality and hepatitis B seroprevalence. Methods: We searched PubMed and Web of Science databases to identify all relevant epidemiological studies published up to February 10, 2020. A categorical meta-analysis was applied to pool risk effects of income on hepatitis B seroprevalence. Results: A total of 1525 pieces of literature related to income level and hepatitis B seroprevalence were retrieved, of which 10 articles were finally included. The results revealed a borderline risk (OR: 1.14, 95%CI: 1.00 - 1.30) for hepatitis B seroprevalence (positive for one or more seromarkers) among low-income groups. A significant income effect was observed for HBsAg seroprevalence with a 28% higher risk for low income versus high cases (OR: 1.28, 95%CI: 1.16 - 1.41). However, no statistically significant associations were found between seroprevalence of Anti-HBs, Anti-HBc, and income. Conclusions: This study demonstrated that low income may increase the risk of hepatitis B seroprevalence, especially for HBsAg seroprevalence. Programs on hepatitis B prevention should focus on those with low income. Further studies are warranted to establish causality.