Viral load as a risk factor of reverse transcriptase inhibitor drug resistance mutation in antiretroviral-treated people living with HIV/AIDS

Abstract

Background The human immunodeficiency virus type 1 (HIV-1) is a major contagion faced by the population of Indonesia. The success of antiretroviral treatment (ART) is threatened by the emergence of drug resistance mutations (DRM). The aim of this study was to determine the association between CD4 count, CD4 count changes, viral load, adherence to therapy, and therapy history in the presence of DRM in people living with HIV/AIDS (PLWHA). MethodsThis was a cross-sectional study involving 269 adults who underwent antiretroviral (ARV) therapy for at least 6 months. The frequencies of DRM and polymorphisms were measured by partial amplification of the reverse transcriptase (RT) gene using RT-nested PCR on samples with viral loads of >1000 copies/mL. Sequencing was performed using the Sanger method, and edited by BioEdit. The edited sequences were submitted to http://hivdb.stanford.edu for DRM determination. Respondents’ medical data, CD4 count, viral load, and DRM were analyzed by simple and multiple logistic regression. ResultsThe multiple logistic regression analysis showed a significant association of CD4 count (aOR=12.47; 95% CI: 1.45 -107.39; p=0.023) and viral load at the time of study (aOR=29.56; 95% CI: 3.47-251.52; p=0.002) with the presence of DRM in respondents. ARV substitution history was not associated with the presence of DRM. There were 17 respondents (6.3%) carrying HIV-1 DRM, with M184V/I (11 sequences) as the most frequent pattern of NRTI resistance, and K103 (9 sequences) as that of NNRTI resistance. ConclusionThis study demonstrated that viral load at the time of the study was the most influential determinant factor for the presence of DRM in PLWHA.

HIV-1 drug resistance-associated mutations in relation to viral load among HIV/AIDS patients at Dr. M. Djamil-Hospital Padang

“…Our study found that 7 out of 8 patients who had the mutations had a viral load above 1000 copies/mL. This is in line with a study by Hutapea et al (21) in Papua which also found a statistically significant relationship between the amount of HIV RNA and mutations. It was found that patients with HIV RNA values of >1000 copies/mL had a higher probability of mutations compared to patients with HIV RNA values below 1000 copies/mL.…”