The recent study by Jin et al [1] provides estimates of infectiousness of anal intercourse (AI, insertive circumcised and uncircumcised; receptive with and without ejaculation) for the male homosexual population of Sydney, Australia in the highly active antiretroviral therapy (HAART) era. There is a lack of estimates of HIV infectiousness for homosexual men and for AI in general and especially for infectiousness with treatment. A recent literature review found only four studies reporting estimates of HIV transmissibility per AI act [2]. Therefore the additional data presented by Jin et al [1] are an important contribution to the literature. There are many methodological challenges when quantifying HIV infectiousness which have been discussed elsewhere [3, 4]. While the best study design for quantifying per-act HIV infectiousness for heterosexual populations has involved discordant monogamous couples (albeit compromised with its own set of biases), these types of study have been seldom used for homosexual populations. It may be more difficult to recruit such participants if rates of monogamy are lower than among heterosexual populations, and monogamous couples may also not be very representative of the wider male homosexual community. The alternative approach used by Jin et al was to follow up initially HIV seronegative homosexual men, testing annually for seroconversion and interviewing every six months for reports of types and frequencies of sexual exposure and the presumed serostatus of their sexual partners (categorised as HIV negative, positive, unknown). A similar approach has been used before for AI by Vittinghoff et al [5] as well as for female sex workers [6, 7]. However Vittinghoff et al were unable to provide per-act estimates per positive exposure for insertive AI, only providing estimates per-act with an “infected or unknown serostatus” partner and therefore may underestimate infectiousness per exposure, if HIV prevalence among unknown serostatus partners is low. Jin et al's per-act AI transmission probability estimates for receptive unprotected AI (0.65% 95%CI 0.15-1.53% with withdrawal; 1.43% 95%CI 0.48-2.85% with ejaculation [1]), from a population with high (proposed 70%) HAART coverage, are remarkably similar to those estimates made preceding HAART (summary of four estimates: 1.4% 95%CI 0.2-2.5%, no differentiation by ejaculation [2], see Figure). As the authors note, this result is surprising, given the reduction in community viral load that has been observed in some other homosexual populations following the introduction of HAART [8], and that such reductions in viral load are expected to reduce HIV infectiousness. Per act HIV infectiousness for anal intercourse, for the pre-HAART and HAART eras Potential reasons why HIV infectiousness was not seen to reduce include higher infectiousness associated with various cofactors (STI prevalence may be higher in male homosexual communities now, perhaps as a result of risk compensation in the HAART era); there may be unreported competing exposures through other routes of transmission, such as intravenous drug use; or the partners of study participants may not have been representative of the wider Australian homosexual population, for example, with lower HAART coverage. It would have been useful to have more information regarding the likely HAART coverage of the infected partners, in order to assess how concerning these unexpectedly high estimates for infectiousness are. While authors state that 70% of male homosexuals diagnosed in Australia are currently treated, estimates of the proportion of those infected who are diagnosed and also an indication of adherence levels and average viral loads for those individuals receiving treatment are required to improve our understanding. The authors addressed the uncertainty regarding “unknown” serostatus and presumed HIV negative sexual partners by undertaking uncertainty analysis, varying the HIV prevalence of the “unknown” and presumed HIV negative partner populations by 5%-15% and 0.5-2% respectively, based on prevalence studies from the locality. It would be informative if this analysis could be extended to reflect the uncertainty in HAART coverage levels in order to explore how sensitive the HIV infectiousness estimates are to the assumed proportion of sexual partners on treatment. However, even in the absence of further information, levels of HAART are likely to be substantial and so the authors' observation that their per-act estimates are not markedly different from those made in the absence of HAART remains a concerning finding. Community viral load studies covering the Sydney population may help to explain these findings, although the association between viral load and HIV infectiousness for sexual transmission, particularly for AI, remains to be definitively proven. It would also be useful, if data are available or for future cohorts, to ascertain the treatment status of infected partners where possible, in order to make estimates of AI infectiousness stratified by treatment status. This study and our review have clearly highlighted the need for more data on HIV infectiousness for sexual transmission among homosexual men [1, 2].
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Open Access
Jun 18, 2021
Ketut Suryana 
