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Letters to the Editor

Evidence of Nonrandom Mixing by Pre-exposure Prophylaxis Use Among Men Who Have Sex With Men Partnerships in Melbourne, 2016 to 2018

Wang, Linwei MSca; Tan, Darrell H. S. MD, PhDa,b,c; Mishra, Sharmistha MD, PhDa,b,c,d

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JAIDS Journal of Acquired Immune Deficiency Syndromes: August 1, 2020 - Volume 84 - Issue 4 - p e22-e23
doi: 10.1097/QAI.0000000000002387
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To the Editors:

We read with great interest the brief report by Chow et al1 on the sexual mixing patterns by HIV status and pre-exposure prophylaxis (PrEP) use among men who have sex with men (MSM) partnerships in Melbourne. They reported longitudinal trends in the sexual mixing patterns among MSM by HIV status between 2011 and 2018, and by HIV status and PrEP use between 2016 and 2018. The authors found that among 930 MSM partnerships attending Melbourne Sexual Health Centre between 2016 and 2018, only 1.2% involved both men taking PrEP.

We agree with the authors that it was uncommon for both men within MSM partnerships in the study sample to be using PrEP. However, we suggest an additional interpretation of their data (Table 1), which shows that the observed proportion of partnerships in which both men are taking PrEP is greater than would have been expected by chance alone. For example, with 6.0% of HIV-negative MSM in partnerships and visiting Melbourne Sexual Health Centre between 2016 and 2018 on PrEP, the proportion of concordant HIV-negative partnerships in which both men would be expected to have been on PrEP because of chance alone is 0.4% (6% × 6% = 0.4%) (Table 1). However, we observed that in 1.4% of concordant HIV-negative partnerships between 2016 and 2018, both men were taking PrEP (Table 1). The proportion of HIV-discordant MSM partnerships in which the HIV-negative man was using PrEP is also higher than would be expected by chance (22.2% vs. 6.0%) (Table 1).

Comparing Observed Patterns of Sexual Mixing to What Would be Expected by Chance Alone at the Melbourne Sexual Health Centre, 2016–2018

Thus, the Melbourne data provide additional evidence for nonrandom sexual mixing by PrEP use among MSM, as noted in previous studies.2–5 We found that among MSM enrolled in a cross-sectional survey in Montreal, Canada, those on PrEP reported a higher proportion of partners on PrEP among their HIV-negative partners than would be expected by chance alone (50.6% vs. 28.5%)—a pattern we referred to as “PrEP-matching.”2 Similarly, using data from a nationwide survey of MSM in the United States, Grov et al found that MSM who used PrEP reported a larger proportion of partners on PrEP among their casual male partners, compared with HIV-negative MSM who did not use PrEP (41% vs. 22%)—a pattern referred to as a form of “biomed-matching” by the authors.3 The term “biomed-matching” was originally introduced by Newcomb et al4 to describe an emerging risk reduction strategy used by MSM in the era of biomedical HIV prevention, wherein both individuals in the partnership use PrEP or have undetectable viral load to engage in condomless sex. Indeed, Prescott et al,5 found that among a sample of MSM who use alcohol in San Francisco, United States, approximately half of the sexual partnerships among MSM using PrEP were concordant in their use of biomedical prevention, and their concordant use of PrEP was associated with greater engagement in condomless anal sex.

Collectively, these findings suggest that the phenomenon of both men in a sexual partnership taking PrEP may be more common than expected by chance alone among MSM in the biomedical prevention era. Reasons underlying this pattern of PrEP-matching may include one or more of the following. First, PrEP users may be actively shaping their sexual network by preferentially selecting other men on PrEP. Martinez et al found that HIV-negative MSM on PrEP expressed preference toward PrEP users over non-PrEP users when meeting sexual partners online; those not on PrEP did not indicate such preference.6 Second, qualitative studies revealed evidence of PrEP-related stigma (eg, due to assumptions surrounding promiscuity and/or equating PrEP use with condomless anal sex), which could be one reason that men on PrEP may be more likely to be in partnerships with other men who are also on PrEP.7,8 Third, there may be confounders—factors within the pre-existing sexual-network before PrEP uptake—which may have influenced the likelihood of PrEP initiation and led to the observed patterns of PrEP-matching. For example, if men who are highly engaged in sexual health programs are more likely to have sex with each other and also more likely to be early adopters of PrEP, then we may observe PrEP-matching as a result of the underlying sexual network itself even if men do not preferentially select partners by PrEP use.

Changes in sexual mixing patterns, including PrEP-matching, will be important in predicting how HIV and other sexually transmitted infections may circulate and spread at a population-level. The work by Chow et al is important because it demonstrates how sexual mixing patterns by HIV status and PrEP use have evolved over time. Future studies, via similar repeated cross-sectional analyses or longitudinal analyses, especially among representative samples at the population-level, on the evolution of serosorting and PrEP-matching following the roll-out of PrEP will become increasingly important when evaluating the population-level impact of PrEP on HIV and other sexually transmitted infections9; as will research into the underlying reasons for observed patterns in sexual mixing by PrEP use.


1. Chow EPF, Phillips TR, Bradshaw CS, et al. Brief report: sexual mixing patterns by HIV status and PrEP use among men who have sex with men partnerships in Melbourne, 2011–2018. J Acquir Immune Defic Syndr. 2020;83:99–102.
2. Wang L, Moqueet N, Lambert G, et al. Population-level sexual mixing by HIV status and pre-exposure prophylaxis use among men who have sex with men in Montreal, Canada: implications for HIV prevention. Am J Epidemiol. 2020;189:44–54.
3. Grov C, Jonathan Rendina H, Patel VV, et al. Prevalence of and factors associated with the use of HIV serosorting and other biomedical prevention strategies among men who have sex with men in a US nationwide survey. AIDS Behav. 2018;22:2743–2755.
4. Newcomb ME, Mongrella MC, Weis B, et al. Partner disclosure of PrEP use and undetectable viral load on geosocial networking apps: frequency of disclosure and decisions about condomless sex. J Acquir Immune Defic Syndr. 2016;71:200–206.
5. Prescott MR, Hern J, Petersen M, et al. Does HIV pre-exposure prophylaxis Modify the effect of partnership characteristics on condom use? A cross-sectional study of sexual partnerships among men who have sex with men in San Francisco, California. AIDS Patient Care STDS 2019;33:167–174.
6. Martinez JE, Jonas KJ. Pre-exposure prophylaxis sorting among men who have sex with men. AIDS Care 2019;31:388–396.
7. Grace D, Jollimore J, MacPherson P, et al. The pre-exposure prophylaxis-stigma paradox: learning from Canada's first wave of PrEP users. AIDS Patient Care STDS 2018;32:24–30.
8. Calabrese SK, Underhill K. How stigma surrounding the use of HIV preexposure prophylaxis undermines prevention and pleasure: a call to destigmatize “truvada whores”. Am J Public Health 2015;105:1960–1964.
9. Wang L, Moqueet N, Simkin A, et al. Influence of serosorting and intervention-mediated changes in serosorting on the population-level HIV transmission impact of pre-exposure prophylaxis among men who have sex with men: a mathematical modelling study. medRxiv 2020:2020. doi:10.1101/2020.02.26.20025700.
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