Awoke Seyoum Tegegne and Awoke Fetahi
Background: The natural background and treatment outcomes of hepatitis B virus infection are mainly affected by genotypes and viral load. In the world, millions of people are suffering from chronic viral hepatitis infections. The objective of current study was to identify factors affecting the hepatitis B virus seromarkers for people under treatment.
Methods: Prospective longitudinal study design was conducted for 409 chronic HBV patients. Linear mixed effect model was used in current investigation for data analysis. Estimation was done using restricted maximum likelihood technique.
Results: From the linear mixed effect model, main effects like visiting time (p-value<0.01), age (p-value<0.01), vaccination history (pvalue= 0.014), marital status (p-value=0.003), Alanine aminotransferase (p-value=0.006), Genotype (A, B, C) and Albumin (p-value=0.033) significantly affected the variable of interest. Similarly, interaction effects of time with marital status played statistically significance role for the progression rate of hepatitis B virus.
Conclusion: Aged patients, patients with elevated ALT, HIV infected patients, patients with genotype A, patients living with partners and patients who did not take vaccination in their childhood were groups identified in current investigation as at maximum risk and needs intervention. Evidences have been increased from time to time for certain population with chronic HBV infection being at great risk for their life. Hepatitis B virus infected patients at the study area should have information about factors potentially affecting the infection rate of the disease. Ministry of health or health staff should aware the community to take vaccination that helps to protect individuals from hepatitis B virus.
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