Epidemiology of human immunodeficiency virus (HIV) drug resistance in HIV patients with virologic failure of first-line therapy in the country of Georgia.

Human immunodeficiency virus (HIV) drug resistance is a major threat to the sustained impact of antiretroviral therapy (ART). We studied the epidemiology of drug resistance in the country of Georgia. The study included all adult patients who experienced virologic failure on first line ART and received HIV drug resistance testing between 2005 and 2016. The Stanford HIV Sequence Database was used for interpretation of the resistance data. Patient-level data were extracted from the national AIDS health information system. Of the 447 patients included, 85.5% harbored the subtype A6 virus, 8.0% - subtype B, 2.9% - subtype G, and other subtypes were <1%. The most frequent first-line regimens were Tenofovir/Emtricitabine/Efavirenz (28.4%), Zidovudine/Lamivudine/Efavirenz (28.4%), and Abacavir/Lamivudine/Efavirenz (15.9%). A total of 85.0% of the patients with treatment failure developed at least one drug resistance mutation affecting their susceptibility to ART. The most frequent nucleoside reverse transcriptase inhibitor mutations were M184V (65.3%), K65R (19.7%) and L74V (17.0%). At least three thymidine analogue mutations were detected in 6.3% of the patients. From non-nucleoside reverse transcriptase inhibitor mutations, G190S was shown to be the most prevalent (49.4%), followed by K101E (27.10%) and K103N (24.4%). G190S and K101E were more common in subtype A as compared with non-A viruses (G190S: 54.9% vs 11.3%, P < 0.0001; K101E: 29.8% vs 11.3%, P = 0.005). On the other hand, K103N was more frequent in non-A subtypes (43.4%) compared with subtype A (22.2%), P = 0.0008. A majority of persons failing on ART had HIV drug resistance. Drug resistance patterns may vary by subtype. K65R mutation remains below 20%, but given the high use of Tenofovir in the country, continuing surveillance of drug resistance is needed.

The prevalence of hyperglycemia and its impact on mortality among people living with HIV in Georgia.

BACKGROUND: Life expectancy and quality of life of people living with HIV have been dramatically improved after introducing antiretroviral therapy, and the prevalence of non-communicable diseases has increased. Several studies have found that hyperglycemia with or without type 2 diabetes was associated with poor outcomes in people living with HIV. The study's objective was to determine the prevalence of hyperglycemia and assess its impact on mortality. MATERIALS AND METHODS: A retrospective cohort study was conducted among people living with HIV diagnosed in 2012-2018 and followed through 2020 at the Infectious Diseases, AIDS and Clinical Immunology Research Center in Tbilisi, Georgia. Primary outcomes of interest included the prevalence of hyperglycemia and mortality. Causes of death were classified according to the Coding of Death in HIV (CoDe) protocol. RESULTS: Our study included 2914 people living with HIV. Two hundred and forty-two (8.3%) patients had hyperglycemia, with an increasing prevalence by age. Three hundred one (9.7%) participants died over the median 3.71 (IQR: 2.14-5.37) years of follow-up. Among these, 139 (46.2%) were due to AIDS- related causes, 123 (40.9%)-were due to non-AIDS causes, and in 39 (12.9%) cases, the cause of death could not be determined. Overall, the cohort contributed to 11,148 person-years of follow-up (PYFU), translating into a mortality rate of 2.70 deaths per 100 PYFU. The mortality rate was significantly higher among individuals with hyperglycemia-11.17 deaths per 100 PYFU vs 2.07 deaths per 100 PYFU among normoglycemic patients(p<0.0001). CONCLUSIONS: Hyperglycemia was associated with increased odds of mortality. Screening and management of hyperglycemia should be integrated into routine HIV clinical services as part of a comprehensive care package.

Assessment of quality of life in people living with HIV in Georgia.

The purpose of our study was to assess quality of life (QoL) among Georgian HIV-infected individuals and to examine factors associated with QoL. Our cross-sectional study sample consisted of 201 HIV-infected adult outpatients recruited at the National AIDS Center in Tbilisi, Georgia. WHOQOL-HIV-BREF was used to measure QoL. Data about other variables of interest were obtained from medical records. Modified Poisson regression with robust variance estimates was performed to create a predictive model of factors that influenced QoL. The study results showed the following factors as predictors of good general QoL: antiretroviral (ARV) treatment (prevalence ratio (PR)=2.87 (95% CI: 1.45, 5.67)); higher education level (PR = 1.51 (95% CI: 1.05, 2.17)); CD4 cells ≥200 cells/mm3 (PR = 1.83 (95% CI: 1.13, 2.94)); and age ≥40 years (PR = 1.60 (95% CI: 1.09, 2.36)). However, all factors examined were associated with at least one QoL domain. Our study suggests that HIV-infected individuals younger than 40 years and those with lower education level are more likely to have poorer QoL, while those receiving ARV treatment tend to have better QoL. This highlights the importance of educational interventions and ARV treatment in HIV patients. Future research should seek to implement additional evidence-based actions to improve QoL in this population.