Disparities in Hepatitis B Vaccine Coverage by Race/Ethnicity: The National Health and Nutrition Examination Survey (NHANES) 2015-2016.

Hepatitis B virus (HBV) infection is the most common form of viral hepatitis and remains a global public health problem, even though the HBV vaccine is available. HBV leads to chronic liver disease, including cirrhosis, liver cancer, and death. This study aimed to identify disparities in HBV vaccine coverage with the serological test by race/ethnicity, adjusting for gender and age. In this study, 5735 adult participants were included, obtaining data from the National Health and Nutrition Examination Survey (NHANES), 2015-2016. Proc survey frequency, bivariate- and multivariate logistic regression in the weighted sample were performed due to the complex survey design of NHANES. Data were analyzed using SAS, version 9.2.4. The overall prevalence of HBV vaccine coverage was only 23.3% (95% CI: 20.7%, 25.9%). In a multivariate logistic regression model, data showed that Mexican Americans (OR 0.57, 95% CI: 0.38, 0.86) and African Americans (OR 0.70, 95% CI 0.56, 0.84) had lower vaccine coverage compared to Whites. Females had (OR 1.55, 95% CI: 1.30, 1.85) higher vaccine coverage compared to men. Older age groups (30-49 years) (OR 0.41, 95% CI: 0.32, 0.52) and age group ≥ 50 years (OR 0.18, 95% CI 0.14, 0.23) had lower vaccine coverage compared to younger adults aged 18-29 years.

Potential Years of Life Lost Due to COVID-19 in the United States, Italy, and Germany: An Old Formula with Newer Ideas.

Today, the world is facing the challenge of a major pandemic due to COVID-19, which has caused more than 6.1 million cases of infection and nearly 370,000 deaths so far. Most of the deaths from the disease are clustered in the older population, but the young and children are not spared. In this context, there is a critical need to revisit the formula for calculating potential years of life lost (PYLL). Data on age-specific deaths due to COVID-19 in three countries, including the United States (US), Italy, and Germany, were evaluated. New York State, as a significant outlier within the US, was also included. PYLLs in the US were five times as high as those of Italy. Compared with Germany, PYLLs in Italy were 4 times higher, and the rates in the US were 23, 25, and 18 times higher when using upper age limits of 70, 75, and 80, respectively. Standardized PYLLs in New York were 2 times as high as the rates in Italy, and 7 to 9 times as high as PYLLs in Germany. The revised formula of PYLL, using an upper limit of age 80, is recommended to accurately measure premature deaths due to a major disastrous disease such as COVID-19.

Association of HCV Infection with C-Reactive Protein: National Health and Nutrition Examination Survey (NHANES), 2009⁻2010.

The relationship between hepatitis C virus (HCV) infection and C-reactive protein (CRP), which is an inflammatory biomarker, is limited in studies with the general population. It was hypothesized that changes in CRP levels are genotype-dependent in the general population with HCV infection. Thus, this study aimed to assess the prevalence of HCV infection and compare CRP levels with an anti-HCV antibody, HCV-RNA status, and HCV genotypes. A total of 5611 adult participants from the National and Health Nutrition Examination (NHANES), 2009⁻2010 survey were analyzed. Proc survey frequency, means, and multivariate regression were used due to the complex survey design of NHANES. The prevalence of HCV infection among the study population was 1.6%. There were lower mean CRP levels among people with anti-HCV antibody positive status compared to those with antibody negative status (0.12 ± 0.08 vs. 0.24 ± 0.02, p = 0.08, 95% Confidence Intervals, CI: -1.12 to 0.07). Mean CRP levels were also lower in people with HCV-RNA positive status compared to those with HCV-RNA negative status (0.56 ± 0.03 vs. 0.48 ± 0.05, p = 0.62 and 95% CI: -1.37 to 0.86). However, these differences were non-significant. With respect to HCV genotypes, significantly higher CRP levels were noted among people infected with HCV genotype 2 vs. genotype 1 (0.53 ± 0.06 vs. 0.23 ± 0.05, p < 0.01, 95% CI: -0.58 to -0.02) and those with HCV genotype 2 vs. HCV genotype 3 (0.53 ± 0.06, 0.28 ± 0.04, p < 0.01, 95% CI: 0.02 to 0.48). Further studies are needed to confirm this finding.