Influence of hepatitis B virus co-infection on virological and immunological response to antiretroviral treatment among HIV patients attending comprehensive care clinics in Makueni County, Kenya.

INTRODUCTION: the effect of hepatitis B virus (HBV) infection on the natural history of human immunodeficiency virus (HIV) disease remains uncertain. Therefore, this study was conducted to determine the association of HBV co-infections with CD4 count and viral load levels in response to antiretroviral treatment among HIV patients attending comprehensive care clinics in Makueni County (Kenya). METHODS: this was a prospective case-control study among patients seeking HIV services in three hospitals of Makueni County (Kenya). Newly diagnosed HIV mono-infected patients (controls) and HIV/HBV co-infected (cases), 18 years and above who had not started antiretrovirals (ARVs) participated. A total of 258 patients gave informed consent and participated. HIV mono-infected (controls) produced 129 while HIV/HBV (cases) gave 129 participants. P-values ≤ 0.05 were considered significant. RESULTS: the majority (164, 63%) of the study participants were females for both arms of the study. The mean age of the participants was 31±0.402 years and majority of them were between the age of 26-30years old. At the beginning and end of the study the mean viral load for HIV/HBV co-infected individuals was (30169 and 1731) copies/ml while that of CD4 count was (327 and 459) cells/ul, and that of HIV mono-infected was (21860 and 1689) copies/ml and CD4 count of (421 and 437) cells/ul respectively. After enrolling them into antiretroviral therapy (ART) treatment and after six months of follow-up there was significant drop in viral load and significant increase in CD4 count for both groups at p<0.001 using logistic regression. CONCLUSION: HIV patients co-infected with hepatitis B virus had high viral load and low CD4 count compared to HIV monoinfected patients however with introduction of ARVs there was improvement in both groups with the highest noticed among the HIV/HBV co-infected patients.

Prevalence of human immunodeficiency virus-1 drug-resistant mutations among adults on first- and second-line antiretroviral therapy in a resource-limited health facility in Busia County, Kenya.

INTRODUCTION: in Kenya, about 1.5 million people are living with the Human Immunodeficiency Virus (HIV). Antiretroviral therapy aids in viral suppression. However, drug-resistance threaten the gains of the HIV infection control program. To determine the prevalence of HIV-1 drug-resistant mutations among adults on ARV therapy attending Khunyangu sub-county hospital in Busia County, Kenya, 50 blood samples were analyzed. METHODS: the samples were collected from November 2019 to January 2020 and tested for HIV-1 viral load. HIV-1 drug-resistance was analyzed through the sequencing of the HIV-1 pol gene. Generated sequences were aligned using RECall (beta v3.05) software. HIV-1 drug-resistance was determined using the Stanford University HIV database. RESULTS: females were 34 and males 16. The general prevalence of HIV-1 drug-resistance was 68%. Out of 34 participants on first-line drugs, 59.9% had mutations against these drugs and 5.9% against the second-line drugs. Out of 16 participants on second-line drugs, 43.8% had mutations against these drugs and 50% against the first-line drugs. The prevalence of mutations encoding resistance to Nucleotide reverse transcriptase inhibitors (NRTIs) were 23(46%); Non-nucleotide Reverse transcriptase inhibitors (NNRTIs), 29(58%) and protease inhibitors (PIs), 7(14%). Dual and multi-class HIV-1 drug-resistance prevalence was as follows: NRTIs + NNRTIs 16(32%); NRTIs + NNRTs + PIs 4(8%); NRTIs + PIs 1(2%). A total of 126 mutations were identified. Predominant NNRTIs mutations were K103N (15), Y181C (9), G190A (7), and H221Y (6) NRTIs, M184V (17), Y115F (5) and PIs, I54V (4). CONCLUSION: the study demonstrates a high prevalence of HIV-1 drug-resistance which calls for intervention for the strengthening of health programs.