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PrEP Adherence Patterns Strongly Affect Individual HIV Risk and Observed Efficacy in Randomized Clinical Trials

Dimitrov, Dobromir T. PhD; Mâsse, Benoît R. PhD; Donnell, Deborah PhD

JAIDS Journal of Acquired Immune Deficiency Syndromes: August 1, 2016 - Volume 72 - Issue 4 - p 444–451
doi: 10.1097/QAI.0000000000000993
Epidemiology and Prevention
Free
SDC

Background: Randomized controlled trials (RCTs) suggest that the efficacy of tenofovir-based preexposure prophylaxis (PrEP) strongly depends on the consistency of PrEP use. We explore how the patterns of pill taking and waning of PrEP protection may affect PrEP efficacy for HIV prevention.

Methods: A 2-arm RCT was simulated by mathematical models assuming that the prescribed daily doses were skipped periodically, randomly, or in large blocks. Risk-driven adherence, in which PrEP was taken when sex was expected, was also investigated. Three temporal PrEP protection profiles were explored: long (5 days), intermediate (3 days), and short (24 hours). Modeling results were compared to the efficacy observed in completed RCTs.

Results: The expected PrEP efficacy was 60% with periodic, 50% with random, and 34% with block adherence when PrEP had a long protection profile and pills were taken only 50% of the days. Risk-driven pill taking resulted in 29% and 37% daily pills taken and efficacy of 43% and 51%, respectively, for long protection. High PrEP efficacy comparable with that observed in Partners PrEP and Centers for Disease Control and Prevention Botswana trials was simulated under long protection, high overall adherence, and limited block pill taking; the moderate efficacy observed in iPrEx and Bangkok trials was comparable with the 50% adherence scenarios under random pill taking and long protection.

Conclusions: Pill-taking patterns may have a substantial impact on the protection provided by PrEP even when the same numbers of pills are taken. When PrEP retains protection for longer than a day, pill-taking patterns can explain a broad range of efficacies observed in PrEP RCTs.

*Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center and Department of Applied Mathematics, University of Washington, Seattle, WA;

CHU Sainte-Justine Research Centre, University of Montreal, Montreal, Quebec, Canada; and

Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center and Department of Global Health, University of Washington, Seattle, WA.

Correspondence to: Dobromir T. Dimitrov, PhD, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., M2-C200, P.O. Box 19024, Seattle, WA 98109-1024 (e-mail: ddimitro@fredhutch.org).

D.T.D. and D.D. are supported by an NIH grant (UM1 AI068617).

Data will be presented at the National HIV Prevention Conference, December 6–9, 2015, Atlanta, GA.

The authors have no funding or conflicts of interest to disclose.

D.T.D., B.R.M., and D.D. designed the study, interpreted the data, and drafted the article.

D.T.D. collected data and carried out the modeling analysis. All authors reviewed the final draft of the article and approved it for submission.

Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal's Web site (www.jaids.com).

Received October 28, 2015

Accepted March 03, 2016

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INTRODUCTION

Randomized controlled trials (RCTs) have demonstrated that tenofovir-based preexposure prophylaxis (PrEP) significantly reduces the risk of HIV acquisition.1–7 Case-control analyses using biological evidence of tenofovir showed that in order for PrEP to be protective, it is critically important that it is taken consistently. A key conclusion of these studies is that the success of PrEP at the population level will strongly depend on high individual adherence.

Adherence to (or compliance with) a medication regimen is generally defined as the extent to which patients take medications as prescribed by their health care providers. One way to quantify adherence is to estimate the proportion of prescribed doses taken in a specific time period. Self-reported data collected in the concluded clinical trials indicate that the overall adherence to PrEP was high. However, measures of drug detected in biological specimens showed much lower adherence than self-reported, likely contributing to the failure of 2 clinical trials to demonstrate PrEP efficacy.8,9 A subgroup analysis of data from studies among men who have sex with men (MSM) estimated the PrEP efficacy at 73% when PrEP is taken on at least 90% of the days.1 The same team projected that PrEP protection is 96% if taken every other day (50% adherence) and 76% if taken only 2 days per week. A study among serodiscordant couples reported that detectable drug was associated with 86%–90% reduction in the relative risk of acquiring HIV.3

A review of the prevalence of partial adherence or nonadherence to prescribed medications showed that suboptimal adherence that reduces the effectiveness of biomedical interventions can take different forms including delayed initiation, frequently missed doses, multiweek holidays, and early discontinuation.10 Given that the same number of doses may be distributed differently, we use mathematical models to explore the potential impact of different patterns of adherence on the efficacy of PrEP observed in clinical trials. We investigate pill-taking patterns in which PrEP doses are skipped randomly, periodically, and in blocks under a range of assumptions of residual PrEP protection following dosing. We also simulate risk-driven pill-taking patterns in which PrEP is significantly more likely to be taken on days when sexual activity is expected. Our analysis provides plausible explanation for the discrepancies in the PrEP efficacy reported in concluded RCTs.

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METHODS

We used stochastic individual-based models to simulate clinical trials of daily oral PrEP. The models were designed to reproduce the sexual behavior of a cohort of sexually active HIV-uninfected women in high-HIV-prevalence settings and to study their exposure to HIV through heterosexual contacts.11 We assumed that the cohort was enrolled over a 1-year period and randomized in a 1:1 ratio to the active or placebo arms. We simulated an event-driven trial, ie, the trial concluded when a specific number of infections had occurred. The sexual behavior of each woman, including partnership formation and dissolution as well as the frequency and type of sex acts, was simulated for the duration of the trial in discrete time (units = days). Each day, a woman may acquire new partners, have sex (protected or unprotected) with one or more of her active partners, or terminate an active relationship. The male partners' characteristics, baseline HIV status, and risk of HIV acquisition were simulated according to data-derived parameters. Published research on sexual behavior patterns and studies on HIV transmission in South Africa informed the behavioral and epidemiological assumptions in the model.12–14

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Sexual Behavior

Each woman may be involved in 2 types of sexual partnerships: (1) short-term partnerships with an average duration of 6 months and characterized by higher rates of protected sex and (2) long-term partnerships with an average duration of 10 years and a low rate of protected sex. All new partnerships start as short term, converting into long term after 9 months. Following the population structure described in Johnson et al,13 we divided the women into low-risk and high-risk groups, which define their simulated sexual activity. The high-risk women may have up to 2 concurrent partnerships, one of which may be long term, whereas the low-risk women are serially monogamous. This simplifying assumption allows us to reproduce the partnership distribution representative for South Africa13,14 where the majority of women are in stable partnerships and only a minority of women are involved in multiple partnerships with shorter duration.

Assortative mixing is assumed in partnership formation with partnerships initiated more often between individuals from the same risk groups. In other words, women are more likely to partner with men who have similar risk (high or low). The degree of assortativity (the propensity to choose a partner with similar risk) is representative of the sexual mixing patterns in South Africa.13 New partnerships are initiated at a fixed rate that is almost halved when women are in active short-term partnerships and reduced 7-fold if in long-term partnerships. The minimum duration of a partnership is fixed at 30 days. The long- and short-term partnerships dissolve at a different rate annually with an elevated dissolution rate if another partnership is active at the time. A low-risk woman has 2 months on an average between the end of one and the beginning of a new relationship compared with 1 month for high-risk women. Values of all behavioral parameters are specified in Table S1 (see Supplemental Digital Content, http://links.lww.com/QAI/A806).

The frequency of sexual acts is assigned at the initiation of each partnership and remains constant for the duration of the relationship. Similar coital frequency is assumed for married (long-term) couples and unmarried (short-term) couples with sexual acts occurring at random. In the 20% of partnerships in which anal intercourse is practiced, an average of 40% of all sex acts were assumed to be anal based on data from Kalichman et al.12 The proportion of sex acts protected by condom was assumed to be significantly higher in short-term partnerships (40%) when compared with long-term partnerships (15%).

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HIV Transmission

All women are initially HIV negative. The HIV status of their partners is randomly assigned based on the assumed HIV prevalence in different risk groups (high and low) of the male partners. The HIV acquisition risk per vaginal intercourse was differentiated by the partner's stage of infection with the asymptomatic stage risk fixed at 0.24% (0.65%) for a long-term (short-term) partnership, with multiplicative factors representing elevated HIV risk during acute and late stages, taken from published meta-analyses.15 Anal intercourse was assumed to be 10 times riskier than vaginal intercourse with respect to HIV transmission.16 The protective efficacy of male condoms against HIV was fixed at 90%.

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Cohort Characteristics

The number of short- and long-term partners currently active for each woman is assigned randomly based on demographic data representative of South Africa13,14 resulting in the vast majority (∼85%) of low-risk individuals having a single partner, 11% not currently having a partner, and <4% in concurrent partnerships. In contrast, high-risk individuals are less likely to have no partners (8%) or have 1 partner (74%) and more likely to report concurrent partnerships (18%). Partnership distribution of the female cohort at the start of each simulation before enrollment is presented in Table S2 (see Supplemental Digital Content, http://links.lww.com/QAI/A806). The HIV incidence among the control arm of the simulated cohort varies from 3.8% to 7.2%, which is comparable to the HIV incidence observed in the placebo arms of the Vaginal and Oral Interventions to Control the Epidemic (VOICE) trial.9 This and other characteristics of the simulated female cohort are summarized in Table S3 (see Supplemental Digital Content, http://links.lww.com/QAI/A806). The influence of the behavior and epidemic assumptions used in our analysis on the projected PrEP efficacy is investigated in a multivariate sensitivity analysis included in the Supplemental Digital Content (see Table S5 and Figure S2, Supplemental Digital Content, http://links.lww.com/QAI/A806).

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PrEP Regimen and Protection

The efficacy of daily oral tenofovir disoproxil fumarate and emtricitabine (TDF–Emtricitabine [FTC]) for preventing HIV in women ranged from −4% to 75% in RCTs, highly correlated with the biological measures of adherence.3,4,8,9 Case-control analyses within PrEP RCTs suggest that if used consistently PrEP could reduce the HIV acquisition risk per sex act by at least 70%, which we use as the estimate of “biological efficacy” in our main analysis (ie, with perfect adherence, PrEP reduces the risk of HIV infection by 70%). An alternative scenario assuming 90% biological efficacy for PrEP in women is explored in the Supplemental Digital Content (http://links.lww.com/QAI/A806). To address the uncertainty in the duration and magnitude of residual PrEP protection after dosing, we consider 3 protection profiles of PrEP over time (see Fig. 1A). The short profile assumes that PrEP protects only on the days it is taken. It is likely to represent the protection provided by topical PrEP. This profile is used in all modeling studies in which the per-act PrEP efficacy is proportional to the adherence.17–20 The intermediate profile assumes that PrEP retains 100%, 60%, and 20% of its biological efficacy during the 3 days after a pill is taken. It is likely to represent the protection in women with daily oral TDF, which may be less forgiving of missing doses compared with TDF–FTC.21 Finally, the long profile assumes full biological efficacy for 48 hours and partial per-act efficacy for the subsequent 3–5 days after the last dose is taken. This profile closely aligns with the relationship between adherence and efficacy reported by the Preexposure Prophylaxis Initiative (iPrEx) team for daily PrEP regimens in MSM.22 No cumulative effect of multiple PrEP doses is assumed.

FIGURE 1

FIGURE 1

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Overall Adherence and Pill-Taking Patterns Explored

We consider 3 PrEP adherence scenarios. First, all participants have a common adherence distribution at levels 20%, 50%, and 80%. Second, mixture adherence distribution, in which half of the participants are high adherers (80% adherence) and half are poor adherers (20% adherence) is simulated. For each scenario with common and mixture adherence, 3 patterns of adherence are considered: (1) PrEP doses are skipped randomly (random pattern), (2) PrEP doses are skipped at regular intervals (periodic pattern), and (3) PrEP doses are skipped in larger blocks (block pattern). An illustration of each pattern over a 1 follow-up period (30 days) is presented in Figure 1B.

Finally, we simulate a risk-driven adherence in which the daily decision to take PrEP is based on the personal expectation to have sex. We assume that participants take PrEP with 80% probability on the days when sex is expected and 20% otherwise. We consider 2 scenarios with respect to the ability of the participants to predict their sexual activity: scenario 1 in which the sexual expectation has 57% positive and 80% negative predictive value, based on surveys of sexual behavior and PrEP adherence in Kenya,23 and scenario 2 (more optimistic) in which the sexual expectation has 60% positive and 90% negative predictive value (see Table S4, Supplemental Digital Content, http://links.lww.com/QAI/A806).

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Outcomes of Interest

For each individual, we compute the proportion of days fully covered (ie, days with 100% of the biological efficacy of PrEP) and partially covered (ie, days with some but <100% biological efficacy) by PrEP over a 12-month period. Whether the coverage is full or partial depends on the protection profile assumed (see Fig. 1) and the days since last dose. We also compute the overall PrEP coverage, which we define as the average daily percent of biological efficacy provided by each pill-taking pattern, where 0% is assumed for days with no coverage. Similarly, we compute the proportion of sex acts fully and partially covered by PrEP as well as the overall coverage of sexual acts.

For each scenario, 100 event-driven RCTs are simulated to evaluate the efficacy of PrEP in reducing HIV acquisition risk. The relative risk of acquiring HIV when using PrEP is estimated as the ratio of HIV incidence observed in the active vs the placebo arm. The observed PrEP efficacy is calculated as 1 − relative risk.

Details on all simulation procedures are provided in the Supplemental Digital Content (http://links.lww.com/QAI/A806).

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RESULTS

Overall PrEP Coverage and Its Impact on Individual HIV Risk

The comparison between the proportion of days and sex acts fully and partially covered by PrEP under different pill-taking patterns and protection profiles is presented in Tables 1 and 2, respectively. If PrEP does not provide benefits outside the days it is taken (short-lasting profile), pill-taking patterns have no effect on the days covered. However, the sex act coverage may be affected if the pill-taking pattern is influenced by expected sexual activity. This is illustrated by the larger proportion of sex acts covered compared with days covered in our risk-driven scenarios even when short-lasting PrEP protection is assumed. With longer lasting protection, the proportion of days partially covered increases and the overall PrEP coverage improves. Explicitly, the proportion of partially covered days under block, random, and periodic patterns of 20% adherence is estimated at 6.1%, 28.6%, and 39.4%, increasing the overall PrEP coverage by 2.4%, 12%, and 15.8%, respectively. The greatest effect of pill-taking patterns occurs with intermediate (50%) adherence where 79.8% PrEP coverage is provided by the periodic pattern compared with 52.4% by block adherence. The effect of pill-taking patterns is even more substantial if the protection of a single dose stretches over 5 days; in the case of low adherence (20%), the fraction of fully covered days varies from 23.1% to 39.7%, whereas the overall PrEP coverage varies from 27.6% to 69.3% depending on the pill-taking pattern. The proportions of sexual acts covered fully, partially, or overall are similar to the proportions of days covered for all 3 pill-taking patterns: periodic, random, or block (see Table 2).

TABLE 1

TABLE 1

TABLE 2

TABLE 2

The 2 risk-driven pill-taking scenarios considered in this study result in 29% and 37% overall adherence. Not surprisingly, the estimated PrEP coverage under these scenarios falls between the projections for 20% and 50% adherence with periodic and random pill taking. However, assuming a long PrEP profile, the risk-driven pattern provides better coverage than block adherence. More importantly, the sex act coverage with the risk-driven pattern is comparable with that of randomly taken PrEP with 50% adherence.

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Potential Impact of Pill-Taking Patterns on the Observed PrEP Efficacy in RCTs

Scenarios with different pill-taking patterns and PrEP protection profiles are presented in Figure 2 and compared with the results of concluded RCTs. The highly effective oral PrEP results of Partners PrEP and Centers for Disease Control and Prevention Botswana trials suggest long protection combined with high overall adherence and very limited block pill taking (Fig. 2D, green boxes). The moderate efficacy, observed in the iPrEX and Bangkok trials, is comparable with 50% adherence scenarios with periodic pill taking under intermediate protection or random pill taking under long protection (Fig. 2A). However, it could also be obtained by the 80% adherence scenarios with short protection (Fig. 2D, red boxes) or risk-driven pill taking under long protection (Fig. 2B). Trials in which oral PrEP was found not effective are best fitted by scenarios with low adherence and predominantly block pill taking (Fig. 2C). Results from trials testing topical PrEP, for which we assume short protection, are comparable with the simulations with 50% adherence (Fig. 2A, red boxes). The upper end of the efficacy range, observed in Centre for the AIDS Program of Research in South Africa (CAPRISA) 004, could also be obtained by higher overall adherence (Fig. 2D) or risk-driven pill taking with good sex acts prediction (Fig. 2B, scenario 2). Possible explanations for the low efficacy observed in the gel arm of VOICE are low overall adherence (Fig. 2C) or risk-driven pill taking with poor sex acts prediction (Fig. 2B, scenario 1).

FIGURE 2

FIGURE 2

This analysis shows that the PrEP protection profile has a critical influence on the observed efficacy, inducing differences of 33%, 20%, and 10% between scenarios when periodic, random, or block adherence is assumed, respectively (Fig. 2A). The importance of the pill-taking pattern increases when long PrEP protection is assumed. No influence of the pattern of adherence is expected if PrEP protects only on the days when taken, as it is likely the case with topical PrEP (red boxes). The long protection profile is associated with 26% difference in the observed efficacy across different protection profiles; we found that this mostly benefits periodic pill taking because of the residual PrEP protection on days when doses are skipped. The differences in the observed efficacy due to the pill-taking pattern decreases if the overall adherence level is high (see Fig. 2D).

Clinical trials with risk-driven pill taking in which 37% of the daily doses are taken are likely to show better efficacy than trials with random or block pill taking in which 50% of the daily doses are taken provided that participants are relatively accurate in predicting their sexual activity (Fig. 2B, scenario 2). In populations with less-reliable predictions of sex, the projected PrEP efficacy is expected to be 10%–12% lower (Fig. 2B, scenario 1). However, risk-driven pill taking is still more effective than 50% block adherence if PrEP has long protection (Fig.2A vs Fig. 2B).

Simulations with a mixture adherence distribution in which all participants follow the same pill-taking pattern show that the differences in PrEP efficacy induced by the pill-taking pattern are primarily driven by the low adherers (Fig. 3).

FIGURE 3

FIGURE 3

Results from simulating scenarios assuming 90% biological efficacy of PrEP in reducing the HIV acquisition risk per act are presented in Figure S3 (see Supplemental Digital Content, http://links.lww.com/QAI/A806). They demonstrate that the most optimistic estimates of PrEP efficacy can be matched and even exceeded with 50% actual adherence if PrEP is highly effective and has long-lasting protection. Notable, if block pill taking is prevalent, then low to intermediate efficacy will be observed.

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DISCUSSION

Variation in the efficacy observed in PrEP clinical trials has been largely attributed to poor adherence. In this study, we demonstrated that pill-taking patterns, in addition to the PrEP protection profile, affect the individual risk of HIV acquisition in PrEP users and may have had a significant influence on the efficacy observed in the RCTs that test daily regimens of oral PrEP. The importance of the adherence pattern increases if PrEP provides protection beyond the day on which a dose is taken. Such residual protection was suggested for MSM by the iPrEx team, which estimated that even 2 PrEP doses per week reduced the HIV risk by 76%. However, the PrEP protection profile may be different for women because of the differences between PrEP accumulation levels in the vaginal and rectal mucosa.24,25

We found that the pill-taking pattern mostly affects PrEP efficacy under intermediate and low adherence when PrEP retains protective power for longer than a day. In this case, periodic pill-taking pattern provides the greatest PrEP coverage and therefore the highest PrEP efficacy. Although unlikely to be prevalent, such behavior could result from pill sharing with friends or relatives. On the other hand, block adherence had the lowest PrEP protection because the residual efficacy during the days after a dose is taken is barely used. However, longer periods of nonuse could occur because of separation from a regular sex partner. In that case, the projected disadvantage of this pill-taking pattern could be overestimated.

Risk-driven pill taking may provide better sex act coverage than random pill taking with significantly fewer doses, but the effectiveness of risk-driven pill taking strongly depends on the ability of the PrEP users to predict their sexual activity. A study among Kenyan men and women estimated that 20% of the sexual acts are unexpected.23 However, a coitally dependent regimen of oral PrEP was evaluated in the recently concluded trial among MSM in France and demonstrated high efficacy.7 Our analysis suggests that participants with less-reliable sexual expectations may expect limited benefit from PrEP use.

Our study has some limitations. When simulating the sexual activity of the female cohort, we do not explicitly account for the use of antiretroviral drugs by HIV-positive male partners and assume the same risk of HIV acquisition per act with partners in the same HIV stage. The extremely high incidence of HIV infections among women in PrEP trials in South Africa suggests that few of their partners are virally suppressed. Also, we do not account for the disclosure of HIV status by male partners and its influence on the sexual behavior, condom use, and adherence to PrEP. The difference in adherence between the RCTs that test oral PrEP in serodiscordant couples and in individually enrolled women suggests that the knowledge of the partner's HIV status could be a strong incentive to take PrEP consistently. We illustrated the potential effects of pill-taking patterns on the reduction in HIV incidence observed in RCTs by following a cohort of women in high-prevalence settings. Although quantitative results in this study are not directly transferable to other populations and settings, we believe that the qualitative conclusions remain valid.

To our knowledge, this is the first modeling study investigating the impact of pill-taking patterns on the efficacy of PrEP. Our analysis provides insights into the consequences of different patterns of poor adherence and the comparative effectiveness of random, block, and risk-driven adherence. In addition, we have demonstrated how different patterns of adherence could have resulted in different efficacies, as observed in the PrEP RCTs. We expect that data from ongoing RCTs using electronic drug monitoring devices to track pill-taking patterns of the participants will help us better understand the most prevalent pill-taking practices.26 Our results suggest that these data should be accounted for when the efficacy of PrEP is evaluated.

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ACKNOWLEDGMENTS

The authors are grateful to Thea Swanson, Executive Assistant at the Vaccine and Infectious Disease Division of the Fred Hutchinson Cancer Research Center for proofreading and editing the final version of the manuscript.

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Keywords:

preexposure prophylaxis; mathematical modeling; HIV prevention; intervention efficacy; HIV acquisition risk

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