HIV-1 Drug Resistance among Treatment-Naïve Patients in Russia: Analysis of the National Database, 2006-2022.
Alina KirichenkoDmitry E KireevIlya LapovokAnastasia ShlykovaAlexey LopatukhinAnastasia PokrovskayaMarina BobkovaAnastasiia AntonovaAnna KuznetsovaEkaterina OzhmegovaSergey ShtrekAleksej SannikovNatalia ZaytsevaOlga PekshevaMichael PiterskiyAleksandr SemenovGalina TurbinaNatalia FiloniukAndrey ShemshuraValeriy KulaginDmitry KolpakovAleksandr SuladzeValeriya KotovaLyudmila BalakhontsevaVadim PokrovskyVasiliy AkimkinPublished in: Viruses (2023)
In Russia, antiretroviral therapy (ART) coverage has significantly increased, which, in the absence of routine genotyping testing, could lead to an increase in HIV drug resistance (DR). The aim of this study was to investigate the patterns and temporal trends in HIV DR as well as the prevalence of genetic variants in treatment-naïve patients from 2006 to 2022, using data from the Russian database (4481 protease and reverse transcriptase and 844 integrase gene sequences). HIV genetic variants, and DR and DR mutations (DRMs) were determined using the Stanford Database. The analysis showed high viral diversity, with the predominance of A6 (78.4%), which was the most common in all transmission risk groups. The overall prevalence of surveillance DRMs (SDRMs) was 5.4%, and it reached 10.0% in 2022. Most patients harbored NNRTI SDRMs (3.3%). The prevalence of SDRMs was highest in the Ural (7.9%). Male gender and the CRF63_02A6 variant were association factors with SDRMs. The overall prevalence of DR was 12.7% and increased over time, primarily due to NNRTIs. Because baseline HIV genotyping is unavailable in Russia, it is necessary to conduct surveillance of HIV DR due to the increased ART coverage and DR prevalence. Centralized collection and unified analysis of all received genotypes in the national database can help in understanding the patterns and trends in DR to improve treatment protocols and increase the effectiveness of ART. Moreover, using the national database can help identify regions or transmission risk groups with a high prevalence of HIV DR for epidemiological measures to prevent the spread of HIV DR in the country.
Keyphrases
- antiretroviral therapy
- hiv infected
- hiv positive
- human immunodeficiency virus
- hiv aids
- hiv testing
- hiv infected patients
- editorial comment
- end stage renal disease
- hepatitis c virus
- men who have sex with men
- risk factors
- newly diagnosed
- chronic kidney disease
- ejection fraction
- peritoneal dialysis
- public health
- prognostic factors
- south africa
- healthcare
- machine learning
- randomized controlled trial
- emergency department
- quality improvement
- patient reported
- adverse drug
- combination therapy
- clinical practice
- high throughput
- mental health
- artificial intelligence
- sars cov
- affordable care act
- drug induced