TREAT-B Algorithm for Treatment Eligibility Among Chronically Infected Hepatitis B Virus Persons in a Low and a High Endemic Region: A Potential Strategy Towards Virus Elimination by 2030
BackgroundLittle is known about treatment eligibility in Africa for the hepatitis B virus (TREAT-B) algorithm. We investigated the treatment eligibility among the HBV chronically infected patients in a low and a high endemic region using the TREAT-B algorithm.MethodsWe recruited 227 treatment-naïve...
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Frontiers Media S.A.
2022-04-01
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| Series: | Frontiers in Virology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fviro.2022.754711/full |
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| author | Hussein Mukasa Kafeero Hussein Mukasa Kafeero Dorothy Ndagire Ponsiano Ocama Charles Drago Kato Eddie Wampande Henry Kajumbula David Patrick Kateete Abdul Walusansa Ali Kudamba Jamilu E. Ssenku Hakim Sendagire Hakim Sendagire |
| author_facet | Hussein Mukasa Kafeero Hussein Mukasa Kafeero Dorothy Ndagire Ponsiano Ocama Charles Drago Kato Eddie Wampande Henry Kajumbula David Patrick Kateete Abdul Walusansa Ali Kudamba Jamilu E. Ssenku Hakim Sendagire Hakim Sendagire |
| author_sort | Hussein Mukasa Kafeero |
| collection | DOAJ |
| description | BackgroundLittle is known about treatment eligibility in Africa for the hepatitis B virus (TREAT-B) algorithm. We investigated the treatment eligibility among the HBV chronically infected patients in a low and a high endemic region using the TREAT-B algorithm.MethodsWe recruited 227 treatment-naïve HBV-infected hospital attendees from the low and high HBV endemic regions. We assessed the treatment eligibility by testing for HBeAg serostatus and ALT levels. Socio-demographic data were collected with a structured questionnaire. The accessory correlates of treatment eligibility (AST, ALP, ALB, GGT, and TBIL) and the socio-demographic factors were analyzed by both univariate and multinomial logistic regression using the SPSS and Medcalc. The analysis was done at 95% CI and a p < 0.05 was considered statistically significant.ResultsOverall, 56.8% of the participants qualified for treatment at TREAT-B cutoffs of ≥2, with those from the low endemic region (90, 69.8%) having significantly higher treatment eligibility indication than those from the high endemic region (p < 0.05). Alcohol use and household contact with an HBV-infected person were independent socio-demographic factors significantly associated with treatment eligibility for both low and high endemic regions (p < 0.05). However, birth place was only indicated for treatment eligibility among the high endemic participants (p < 0.05). AST, GGT, and total bilirubin were the liver-related parameters significantly associated with treatment eligibility (p < 0.05), with GGT and AST being significantly elevated among the eligible low endemic dwellers compared to high endemic dwellers (p < 0.05).ConclusionUsing TREAT-B algorithm can be a plausible alternative to the orthodox methods to specify treatment eligibility with the potential to scale up interventions targeting HBV management and elimination. |
| first_indexed | 2024-12-21T04:27:05Z |
| format | Article |
| id | doaj.art-f720bf22f9a4403c8291a046ee9c2115 |
| institution | Directory Open Access Journal |
| issn | 2673-818X |
| language | English |
| last_indexed | 2024-12-21T04:27:05Z |
| publishDate | 2022-04-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Virology |
| spelling | doaj.art-f720bf22f9a4403c8291a046ee9c21152022-12-21T19:16:01ZengFrontiers Media S.A.Frontiers in Virology2673-818X2022-04-01210.3389/fviro.2022.754711754711TREAT-B Algorithm for Treatment Eligibility Among Chronically Infected Hepatitis B Virus Persons in a Low and a High Endemic Region: A Potential Strategy Towards Virus Elimination by 2030Hussein Mukasa Kafeero0Hussein Mukasa Kafeero1Dorothy Ndagire2Ponsiano Ocama3Charles Drago Kato4Eddie Wampande5Henry Kajumbula6David Patrick Kateete7Abdul Walusansa8Ali Kudamba9Jamilu E. Ssenku10Hakim Sendagire11Hakim Sendagire12Department of Medical Microbiology, Makerere University, College of Health Sciences, Kampala, UgandaDepartment of Medical Microbiology, Habib Medical School, Faculty of Health Sciences, Islamic University in Uganda, Kampala, UgandaDepartment of Plant Sciences, Microbiology and Biotechnology, College of Natural Sciences, Makerere University, Kampala, UgandaDepartment of Medicine, College of Health Sciences, Makerere University, Kampala, UgandaDepartment of Biomolecular Resources and Biolab Sciences (BBS), College of Veterinary Medicine, Animal Resources and Biosecurity (COVAB), Makerere University, Kampala, UgandaDepartment of Biomolecular Resources and Biolab Sciences (BBS), College of Veterinary Medicine, Animal Resources and Biosecurity (COVAB), Makerere University, Kampala, UgandaDepartment of Medical Microbiology, Habib Medical School, Faculty of Health Sciences, Islamic University in Uganda, Kampala, UgandaDepartment of Molecular Biology and Immunology, College of Health Sciences, Makerere University, Kampala, UgandaDepartment of Medical Microbiology, Habib Medical School, Faculty of Health Sciences, Islamic University in Uganda, Kampala, UgandaDepartment of Physiology, Habib Medical School, Faculty of Health Sciences, Islamic University in Uganda, Kampala, UgandaDepartment of Plant Sciences, Microbiology and Biotechnology, College of Natural Sciences, Makerere University, Kampala, UgandaDepartment of Medical Microbiology, Makerere University, College of Health Sciences, Kampala, UgandaDepartment of Medical Microbiology, Habib Medical School, Faculty of Health Sciences, Islamic University in Uganda, Kampala, UgandaBackgroundLittle is known about treatment eligibility in Africa for the hepatitis B virus (TREAT-B) algorithm. We investigated the treatment eligibility among the HBV chronically infected patients in a low and a high endemic region using the TREAT-B algorithm.MethodsWe recruited 227 treatment-naïve HBV-infected hospital attendees from the low and high HBV endemic regions. We assessed the treatment eligibility by testing for HBeAg serostatus and ALT levels. Socio-demographic data were collected with a structured questionnaire. The accessory correlates of treatment eligibility (AST, ALP, ALB, GGT, and TBIL) and the socio-demographic factors were analyzed by both univariate and multinomial logistic regression using the SPSS and Medcalc. The analysis was done at 95% CI and a p < 0.05 was considered statistically significant.ResultsOverall, 56.8% of the participants qualified for treatment at TREAT-B cutoffs of ≥2, with those from the low endemic region (90, 69.8%) having significantly higher treatment eligibility indication than those from the high endemic region (p < 0.05). Alcohol use and household contact with an HBV-infected person were independent socio-demographic factors significantly associated with treatment eligibility for both low and high endemic regions (p < 0.05). However, birth place was only indicated for treatment eligibility among the high endemic participants (p < 0.05). AST, GGT, and total bilirubin were the liver-related parameters significantly associated with treatment eligibility (p < 0.05), with GGT and AST being significantly elevated among the eligible low endemic dwellers compared to high endemic dwellers (p < 0.05).ConclusionUsing TREAT-B algorithm can be a plausible alternative to the orthodox methods to specify treatment eligibility with the potential to scale up interventions targeting HBV management and elimination.https://www.frontiersin.org/articles/10.3389/fviro.2022.754711/fullTREAT-Beligibilityendemicityhepatitis B core antigenalanine aminotransferase |
| spellingShingle | Hussein Mukasa Kafeero Hussein Mukasa Kafeero Dorothy Ndagire Ponsiano Ocama Charles Drago Kato Eddie Wampande Henry Kajumbula David Patrick Kateete Abdul Walusansa Ali Kudamba Jamilu E. Ssenku Hakim Sendagire Hakim Sendagire TREAT-B Algorithm for Treatment Eligibility Among Chronically Infected Hepatitis B Virus Persons in a Low and a High Endemic Region: A Potential Strategy Towards Virus Elimination by 2030 Frontiers in Virology TREAT-B eligibility endemicity hepatitis B core antigen alanine aminotransferase |
| title | TREAT-B Algorithm for Treatment Eligibility Among Chronically Infected Hepatitis B Virus Persons in a Low and a High Endemic Region: A Potential Strategy Towards Virus Elimination by 2030 |
| title_full | TREAT-B Algorithm for Treatment Eligibility Among Chronically Infected Hepatitis B Virus Persons in a Low and a High Endemic Region: A Potential Strategy Towards Virus Elimination by 2030 |
| title_fullStr | TREAT-B Algorithm for Treatment Eligibility Among Chronically Infected Hepatitis B Virus Persons in a Low and a High Endemic Region: A Potential Strategy Towards Virus Elimination by 2030 |
| title_full_unstemmed | TREAT-B Algorithm for Treatment Eligibility Among Chronically Infected Hepatitis B Virus Persons in a Low and a High Endemic Region: A Potential Strategy Towards Virus Elimination by 2030 |
| title_short | TREAT-B Algorithm for Treatment Eligibility Among Chronically Infected Hepatitis B Virus Persons in a Low and a High Endemic Region: A Potential Strategy Towards Virus Elimination by 2030 |
| title_sort | treat b algorithm for treatment eligibility among chronically infected hepatitis b virus persons in a low and a high endemic region a potential strategy towards virus elimination by 2030 |
| topic | TREAT-B eligibility endemicity hepatitis B core antigen alanine aminotransferase |
| url | https://www.frontiersin.org/articles/10.3389/fviro.2022.754711/full |
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