Transmission of non-B HIV subtypes in the UK is increasingly driven by large non-heterosexual clusters

BACKGROUND: The United Kingdom human immunodeficiency virus (HIV) epidemic was historically dominated by HIV subtype B transmission among men who have sex with men (MSM). Now 50% of diagnoses and prevalent infections are among heterosexual individuals and mainly involve non-B subtypes. Between 2002 and 2010, the prevalence of non-B diagnoses among MSM increased from 5.4% to 17%, and this study focused on the drivers of this change. METHODS: Growth between 2007 and 2009 in transmission clusters among 14 000 subtype A1, C, D, and G sequences from the United Kingdom HIV Drug Resistance Database was analysed by risk group. RESULTS: Of 1148 clusters containing at least 2 sequences in 2007, >75% were pairs and >90% were heterosexual. Most clusters (71.4%) did not grow during the study period. Growth was significantly lower for small clusters and higher for clusters of ≥7 sequences, with the highest growth observed for clusters comprising sequences from MSM and people who inject drugs (PWID). Risk group (P< .0001), cluster size (P< .0001), and subtype (P< .01) were predictive of growth in a generalized linear model. DISCUSSION: Despite the increase in non-B subtypes associated with heterosexual transmission, MSM and PWID are at risk for non-B infections. Crossover of subtype C from heterosexuals to MSM has led to the expansion of this subtype within the United Kingdom

HIV Drug-resistant Strains as Epidemiologic Sentinels

The decrease in the proportion of drug resistance among newly infected HIV-1 patients may signal a worsening of the epidemic

Increasing the use of second-line therapy is a cost-effective approach to prevent the spread of drug-resistant HIV: a mathematical modelling study

METHODS: We develop a deterministic mathematical model representing Kampala, Uganda, to predict the prevalence of TDR over a 10-year period. We then compare the impact on TDR and cost-effectiveness of: (1) introduction of pre-therapy genotyping; (2) doubling use of second-line treatment to 80% (50-90%) of patients with confirmed virological failure on first-line ART; and (3) increasing viral load monitoring from yearly to twice yearly. An intervention can be considered cost-effective if it costs less than three times the gross domestic product per capita per quality adjusted life year (QALY) gained, or less than $3420 in Uganda.RESULTS: The prevalence of TDR is predicted to rise from 6.7$1612 to $2234 (IQR$450-dominated) per QALY gained.CONCLUSIONS: While earlier treatment initiation will result in a predicted increase in the proportion of patients infected with drug-resistant HIV, the absolute numbers of patients infected with drug-resistant HIV is predicted to decrease. Increasing use of second-line treatment to all patients with confirmed failure on first-line therapy is a cost-effective approach to reduce TDR. Improving access to second-line ART is therefore a major priority.INTRODUCTION: Earlier antiretroviral therapy (ART) initiation reduces HIV-1 incidence. This benefit may be offset by increased transmitted drug resistance (TDR), which could limit future HIV treatment options. We analyze the epidemiological impact and cost-effectiveness of strategies to reduce TDR

Characterization of the patterns of drug-resistance mutations in newly diagnosed HIV-1 infected patients naïve to the antiretroviral drugs

<p>Abstract</p> <p>Background</p> <p>The transmission of HIV-1 drug-resistant strains in drug naive patients may seriously compromise the efficacy of a first-line antiretroviral treatment. To better define this problem, a study in a cohort of newly diagnosed HIV-1 infected individuals has been conducted. This study is aimed to assess the prevalence and the patterns of the mutations recently associated with transmitted drug resistance in the reverse transcriptase (RT) and in protease (PR) of HIV-1.</p> <p>Methods</p> <p>Prevalence of transmitted drug resistant strains is determined in 255 newly diagnosed HIV-1 infected patients enrolled in different counselling and testing (CT) centres in Central Italy; the Avidity Index (AI) on the first available serum sample is also used to estimate time since infection. Logistic regression models are used to determine factors associated with infection by drug resistant HIV-1 strains.</p> <p>Results</p> <p>The prevalence of HIV-1 strains with at least one major drug resistance mutation is 5.9% (15/255); moreover, 3.9% (10/255) of patients is infected with HIV nucleoside reverse transcriptase inhibitor (NRTI)-resistant viruses, 3.5% (9/255) with HIV non-NRTI-resistant viruses and 0.4% (1/255) with HIV protease inhibitor (PI)-resistant viruses. Most importantly, almost half (60.0%) of patients carries HIV-1 resistant strains with more than one major drug resistance mutation. In addition, patients who had acquired HIV through homosexual intercourses are more likely to harbour a virus with at least one primary resistance mutation (OR 7.7; 95% CI: 1.7–35.0, P = 0.008).</p> <p>Conclusion</p> <p>The prevalence of drug resistant HIV-1 strains among newly diagnosed individuals in Central Italy is consistent with the data from other European countries. Nevertheless, the presence of drug-resistance HIV-1 mutations in complex patterns highlights an additional potential risk for public health and strongly supports the extension of wide genotyping to newly diagnosed HIV-1 infected patients.</p

Increase in transmitted resistance to non-nucleoside reverse transcriptase inhibitors among newly diagnosed HIV-1 infections in Europe

Matti A Ristola on SPREAD Programme -työryhmän jäsen.Peer reviewe

Demonstration of Sustained Drug-Resistant Human Immunodeficiency Virus Type 1 Lineages Circulating among Treatment-Naïve Individuals▿ †

Transmission of human immunodeficiency virus (HIV) drug resistance is well-recognized and compromises response to first-line therapy. However, the population dynamics of transmitted resistance remains unclear, although previous models have assumed that such transmission reflects direct infection from treated individuals. We investigated whether population-based phylogenetic analyses would uncover lineages of resistant viruses circulating in untreated individuals. Through the phylogenetic analysis of 14,061 HIV type 1 (HIV-1) pol gene sequences generated in the United Kingdom from both treatment-naïve and -experienced individuals, we identified five treatment-independent viral clusters containing mutations conferring cross-resistance to antiretroviral drugs prescribed today in the United Kingdom. These viral lineages represent sustainable reservoirs of resistance among new HIV infections, independent of treatment. Dated phylogenies reconstructed through Bayesian Markov chain Monte Carlo inference indicated that these reservoirs originated between 1997 and 2003 and have persisted in the HIV-infected population for up to 8 years. Since our cohort does not represent all infected individuals within the United Kingdom, our results are likely to underestimate the number and size of the resistant reservoirs circulating among drug-naïve patients. The existence of sustained reservoirs of resistance in the absence of treatment has the capacity to threaten the long-term efficacy of antiretroviral therapy and suggests there is a limit to the decline of transmitted drug resistance. Given the current decrease in resistance transmitted from treated individuals, a greater proportion of resistance is likely to come from drug-naïve lineages. These findings provide new insights for the planning and management of treatment programs in resource-rich and developing countries

What is the risk of mortality following diagnosis of multidrug-resistant HIV-1?

OBJECTIVES To estimate the risk of death and examine the predictors of death and virological/immunological response, following diagnosis of multidrug-resistant (MDR) HIV-1 in a UK multicentre cohort of HIV-infected individuals. METHODS Five hundred and seventy-two patients were identified with MDR HIV-1 between 1997 and 2004. Factors associated with survival and virological/immunological response 24-48 weeks after MDR diagnosis were determined by the Poisson and linear regression, respectively. RESULTS Patient characteristics: 86% males; median age 39 years; median CD4 and viral load (VL) at MDR diagnosis 230 cells/mm3 and 4.2 log10 copies/mL; median number of antiretroviral drugs previously exposed to 8. Sixty patients died over a median follow-up of 31 months (IQR: 17-50), giving an estimated mortality rate of 3.7 deaths per 100 person-years (95% CI 2.9-4.7) following MDR diagnosis. In adjusted analysis, higher CD4 count, lower VL, more recent calendar year, lower number of antiretroviral drugs previously exposed to and greater age at MDR diagnosis were associated with an increased chance of survival. There was some evidence of a better virological response at 24-48 weeks after MDR diagnosis in patients who changed regimen compared with patients who did not change regimen. CONCLUSIONS The risk of death following MDR diagnosis may be at least 3-fold the risk observed overall in HIV-infected individuals. Changing antiretroviral therapy following emergence of MDR HIV-1 may be associated with improved short-term virological response