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Objective: To identify groups more likely to be referred for HIV testing because of symptomatic presentation rather than as part of asymptomatic screening., Design: A retrospective analysis of Australian National HIV Registry (NHR) surveillance data including sociodemographic and clinical data, as well as reasons for HIV test., Methods: Using notification records from 2017 to 2022, we summarised reasons for testing leading to an HIV diagnosis. Reasons for testing were combined with clinical status at diagnosis to derive HIV testing categories: testing while symptomatic; asymptomatic HIV screening; seroconversion; and other test reason. We stratified these categories by stage of HIV at diagnosis with late-stage HIV defined as a CD4 + cell count <350 cells/μl at time of diagnosis., Results: Among 4134 HIV notifications with at least one reason for testing recorded, STI screening was the predominant reason for test referral (38%), followed by HIV indicative symptoms (31%), and risk behaviour (13%). By testing category, people aged 50 years or older (24%), people with HIV attributed to heterosexual sex (21%), people born in sub-Saharan Africa (19%), and women (17%) had lower levels of asymptomatic screening. More late-stage HIV diagnoses resulted from testing while symptomatic (58%) compared with asymptomatic screening (25%)., Conclusions: Older people and heterosexuals may not access HIV focused healthcare where HIV screening is routinely offered. Instead, HIV testing opportunities may arise in other settings. By normalising HIV testing and offering low-cost HIV screening in a range of settings, it may be possible to facilitate earlier HIV diagnoses, better health outcomes, and reduced onward transmission., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.)

Introduction: New South Wales (NSW) has one of the world's highest uptake rates of HIV pre-exposure prophylaxis (PrEP). This uptake has been credited with sharp declines in HIV transmission, particularly among Australian-born gay and bisexual men. Concerns have been raised around the potential for the emergence of tenofovir (TFV) and XTC (lamivudine/emtricitabine) resistance in settings of high PrEP use. Such an emergence could also increase treatment failure and associated clinical outcomes among people living with HIV (PLHIV). Despite low levels of nucleoside reverse-transcriptase inhibitor (NRTI) resistance relating to PrEP use in clinical settings, there are few published studies describing the prevalence of NRTI resistance among people newly diagnosed with HIV in a setting of high PrEP use., Methods: Using HIV antiretroviral drug resistance data linked to NSW HIV notifications records of people diagnosed from 1 January 2015 to 31 December 2021 and with HIV attributed to male-to-male sex, we described trends in TFV and XTC resistance. Resistance was identified using the Stanford HIV Drug Resistance genotypic resistance interpretation system. To focus on transmitted drug resistance, resistance prevalence estimates were generated using sequences taken less than 3 months post-HIV diagnosis. These estimates were stratified by timing of sequencing relative to the date of diagnosis, year of sequencing, birthplace, likely place of HIV acquisition, and stage of HIV at diagnosis., Results: Among 1119 diagnoses linked to HIV genomes sequenced less than 3 months following diagnosis, overall XTC resistance prevalence was 1.3%. Between 2015 and 2021, XTC resistance fluctuated between 0.5% to 2.9% and was 1.0% in 2021. No TFV resistance was found over the study period in any of the sequences analysed. Higher XTC resistance prevalence was observed among people with newly acquired HIV (evidence of HIV acquisition in the 12 months prior to diagnosis; 2.9%, p = 0.008)., Conclusions: In this Australian setting, TFV and XTC resistance prevalence in new HIV diagnoses remained low. Our findings offer further evidence for the safe scale-up of PrEP in high-income settings, without jeopardizing the treatment of those living with HIV., (© 2024 The Author(s). Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of International AIDS Society.)

Introduction: Australia has set the goal for the virtual elimination of HIV transmission by the end of 2022, yet accurate information is lacking on the level of HIV transmission occurring among residents. We developed a method for estimating the timing of HIV acquisition among migrants, relative to their arrival in Australia. We then applied this method to surveillance data from the Australian National HIV Registry with the aim of ascertaining the level of HIV transmission among migrants to Australia occurring before and after migration, and to inform appropriate local public health interventions., Methods: We developed an algorithm incorporating CD4 + T-cell decline back-projection and enhanced variables (clinical presentation, past HIV testing history and clinician estimate of the place of HIV acquisition) and compared it to a standard algorithm which uses CD4 + T-cell back-projection only. We applied both algorithms to all new HIV diagnoses among migrants to estimate whether HIV infection occurred before or after arrival in Australia., Results: Between 1 January 2016 and 31 December 2020, 1909 migrants were newly diagnosed with HIV in Australia, 85% were men, and the median age was 33 years. Using the enhanced algorithm, 932 (49%) were estimated to have acquired HIV after arrival in Australia, 629 (33%) before arrival (from overseas), 250 (13%) close to arrival and 98 (5%) were unable to be classified. Using the standard algorithm, 622 (33%) were estimated to have acquired HIV in Australia, 472 (25%) before arrival, 321 (17%) close to arrival and 494 (26%) were unable to be classified., Conclusions: Using our algorithm, close to half of migrants diagnosed with HIV were estimated to have acquired HIV after arrival in Australia, highlighting the need for tailored culturally appropriate testing and prevention programmes to limit HIV transmission and achieve elimination targets. Our method reduced the proportion of HIV cases unable to be classified and can be adopted in other countries with similar HIV surveillance protocols, to inform epidemiology and elimination efforts., (© 2023 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.)

Introduction: The human immunodeficiency virus 1 (HIV-1) pandemic is characterized by numerous distinct sub-epidemics (clusters) that continually fuel local transmission. The aims of this study were to identify active growing clusters, to understand which factors most influence the transmission dynamics, how these vary between different subtypes and how this information might contribute to effective public health responses., Methods: We used HIV-1 genomic sequence data linked to demographic factors that accounted for approximately 70% of all new HIV-1 notifications in New South Wales (NSW). We assessed differences in transmission cluster dynamics between subtype B and circulating recombinant form 01&#95;AE (CRF01&#95;AE). Separate phylogenetic trees were estimated using 2919 subtype B and 473 CRF01&#95;AE sequences sampled between 2004 and 2018 in combination with global sequence data and NSW-specific clades were classified as clusters, pairs or singletons. Significant differences in demographics between subtypes were assessed with Chi-Square statistics., Results: We identified 104 subtype B and 11 CRF01&#95;AE growing clusters containing a maximum of 29 and 11 sequences for subtype B and CRF01&#95;AE respectively. We observed a > 2-fold increase in the number of NSW-specific CRF01&#95;AE clades over time. Subtype B clusters were associated with individuals reporting men who have sex with men (MSM) as their transmission risk factor, being born in Australia, and being diagnosed during the early stage of infection (p < 0.01). CRF01&#95;AE infections clusters were associated with infections among individuals diagnosed during the early stage of infection (p < 0.05) and CRF01&#95;AE singletons were more likely to be from infections among individuals reporting heterosexual transmission (p < 0.05). We found six subtype B clusters with an above-average growth rate (>1.5 sequences / 6-months) and which consisted of a majority of infections among MSM. We also found four active growing CRF01&#95;AE clusters containing only infections among MSM. Finally, we found 47 subtype B and seven CRF01&#95;AE clusters that contained a large gap in time (>1 year) between infections and may be indicative of intermediate transmissions via undiagnosed individuals., Conclusions: The large number of active and growing clusters among MSM are the driving force of the ongoing epidemic in NSW for subtype B and CRF01&#95;AE., (© 2021 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.)

Changes over time in HIV-1 subtype diversity within a population reflect changes in factors influencing the development of local epidemics. Here we report on the genetic diversity of 2364 reverse transcriptase sequences from people living with HIV-1 in New South Wales (NSW) notified between 2004 and 2018. These data represent >70% of all new HIV-1 notifications in the state over this period. Phylogenetic analysis was performed to identify subtype-specific transmission clusters. Subtype B and non-B infections differed across all demographics analysed ( p < 0.001). We found a strong positive association for infections among females, individuals not born in Australia or reporting heterosexual transmission being of non-B origin. Further, we found an overall increase in non-B infections among men who have sex with men from 50 to 79% in the last 10 years. However, we also found differences between non-B subtypes; heterosexual transmission was positively associated with subtype C only. In addition, the majority of subtype B infections were associated with clusters, while the majority of non-B infections were singletons. However, we found seven non-B clusters (≥5 sequences) indicative of local ongoing transmission. In conclusion, we present how the HIV-1 epidemic has changed over time in NSW, becoming more heterogeneous with distinct subtype-specific demographic associations.