AIDS:
12 September 2008 - Volume 22 - Issue 14 - p 1829-1839
doi: 10.1097/QAD.0b013e32830e00f5
Epidemiology and Social
Modeling the impact of HIV chemoprophylaxis strategies among men who have sex with men in the United States: HIV infections prevented and cost-effectiveness
Desai, Kamal; Sansom, Stephanie L; Ackers, Marta L; Stewart, Scott R; Hall, H Irene; Hu, Dale J; Sanders, Rachel; Scotton, Carol R; Soorapanth, Sada; Boily, Marie-Claude; Garnett, Geoffrey P; McElroy, Peter D
 Author Information
aDepartment of Infectious Disease Epidemiology, Imperial College London, UK
bDivision of HIV/AIDS Prevention, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA
cUniversity of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
dConstella Group LLC/Futures Group International, Washington, District of Columbia, USA.
Received 5 October, 2006
Revised 12 June, 2008
Accepted 13 June, 2008
Correspondence to Dr Kamal Desai, Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London, W2 1PG, UK. E-mail: kamal.desai@imperial.ac.uk
 Abstract
Background and objective: HIV chemoprophylaxis may be a future prevention strategy to help control the global epidemic of HIV/AIDS. Safety and efficacy trials of two agents are currently underway. We assess the expected number of HIV cases prevented and cost-effectiveness of a hypothetical HIV chemoprophylaxis program among men who have sex with men in a large US city.
Design and methods: We developed a stochastic compartmental mathematical model using HIV/AIDS surveillance data to simulate the HIV epidemic and the impact of a 5-year chemoprophylaxis program under varying assumptions for epidemiological, behavioral, programmatic and cost parameters. We estimated program effectiveness and costs from the perspective of the US healthcare system compared with current HIV prevention practices. The main outcome measures were number of HIV infections prevented and incremental cost per quality-adjusted life-years saved.
Results: A chemoprophylaxis program targeting 25% of high-risk men who have sex with men in New York City could prevent 780 (4%) to 4510 (23%) of the 19 510 HIV infections predicted to occur among all men who have sex with men in New York City in 5 years. More than half of prevented infections would be among those not taking chemoprophylaxis but who benefit from reduced HIV prevalence in the community. Under base-case assumptions, incremental cost was US$ 31 970 per quality-adjusted life-years saved. The program was cost-effective under most variations in efficacy, mechanism of protection and adherence.
Conclusion: HIV chemoprophylaxis among high-risk men who have sex with men in a major US city could prevent a significant number of HIV infections and be cost-effective.
Introduction
HIV affects approximately 33 million individuals worldwide, and an estimated 6800 new infections occur daily [1]. In the United States, an estimated 984 155 AIDS cases were diagnosed by the end of 2005, and one million persons were estimated to be living with HIV/AIDS (LWHA), including approximately 45% men who have sex with men (MSM) [2,3]. There is an urgent need for new HIV prevention interventions in the United States and worldwide. One promising new approach is antiretroviral chemoprophylaxis [4-7].
For numerous infectious diseases, chemoprophylaxis is an established primary prevention strategy for protecting uninfected persons before, during, or after a window of exposure time to a particular pathogen [8]. For HIV/AIDS, preexposure and postexposure use of an antiretroviral agent has been proven effective in the prevention of mother-to-child transmission [9,10], and evidence suggests its efficacy following occupational and nonoccupational exposures [11,12]. Now, daily chemoprophylaxis is being considered for prevention of HIV infection for persons experiencing repeated, high-risk nonoccupational exposures [5,6,13].
Two agents currently under consideration for use as HIV chemoprophylaxis are tenofovir disoproxil fumarate (TDF) and a combination tablet of emtricitabine (FTC)/TDF, nucleotide and nucleoside reverse transcriptase inhibitors, respectively, used currently as part of combination therapy for HIV-infected persons. Both have favorable safety profiles, good tolerability, long intracellular pharmacokinetic half-life, high barriers to development of drug resistance, and a demonstrated potential for chemoprophylactic efficacy [6,7,14-16]. Consequently, several clinical trials are planned or currently evaluating their use as a once-daily, oral chemoprophylactic agent among high-risk populations in several countries, including the United States [5,17,18]. If chemoprophylaxis trials are successful, public health decisions on implementing chemoprophylaxis for HIV prevention will depend on its potential impact and cost-effectiveness by community [19]. To understand the potential epidemiological and economic implications of an efficacious chemoprophylactic agent, we developed mathematical models to simulate HIV transmission and the use of chemoprophylaxis among MSM in a large US metropolitan area. We have focused on the MSM population because of the importance of this risk group in the United States and in many other parts of the world.
Methods
We present a framework for epidemiological and economic evaluation of a once-daily, self-administered oral chemoprophylaxis regimen among high-risk HIV-negative MSM. Epidemiological projections are derived from dynamic mathematical modeling; economic analysis is constructed from the perspective of US healthcare system and includes the costs of chemoprophylaxis program and savings in HIV/AIDS care.
Dynamic transmission model description
We developed a compartmental model simulating acquisition of HIV infection and progression, and effects of HIV/AIDS care on survival and HIV transmission. The model examines the effectiveness of chemoprophylaxis for preventing HIV infection. To represent a large metropolitan city in our model development, we used published epidemiological and survey data from New York City (NYC). We stratified an estimated population of high-risk MSM into four age and four sexual risk classes (defined according to annual number of new sex partners). The model's compartmental flows, choice of parameter values, and mathematical details are provided at http://www.aidsonline.com. In particular, the HIV-infection rate is calculated by age and sexual risk class and depends on annual number of new sex partners, HIV-infection status in the chosen partner and HIV transmission probabilities, which vary according to the partner's HIV-infection stage and duration of the partnership. Long-duration sero-discordant partnerships are associated with higher per-partnership HIV transmission probabilities than short-duration partnerships but higher risk classes are more likely to transmit HIV within a given timeframe because of their greater number of partners. Base-case values and ranges for model parameters came from the published literature, wherever available [6,7,20-53] (http://www.aidsonline.com). These values were validated by comparing the model-generated HIV prevalence, incidence, and absolute number of MSM LWHA, stratified by age category, to available surveillance data from the Centers for Disease Control and Prevention and the New York City Department of Health and Mental Hygiene [2,54-59]. More details on validation are given at http://www.aidsonline.com. The number of HIV infections prevented is derived from comparison of the model-generated HIV incidence in the absence and presence of chemoprophylaxis programs.
Program parameters
Given current uncertainty in key parameters related to chemoprophylaxis programs, we considered 36 hypothetical scenarios, including different combinations of mechanism of protection, efficacy, adherence (program and individual), and population coverage. We defined program adherence as the proportion of all MSM who adhered completely to a daily chemoprophylaxis regimen. Within a fixed scenario, we varied behavioral (annual number of new sexual partners) and epidemiological parameters (e.g., HIV transmission probabilities, rate of HIV disease progression) using Latin-hypercube sampling [60,61] 200 times to generate expected, low and high estimates of cases prevented (equal to the 50th, 5th and 95th percentiles), summing to 7200 simulations. We refer to the 5th to 95th percentile range as a 90% credibility interval (90% CI).
We considered three protection mechanisms for HIV chemoprophylaxis. Under all mechanisms, efficacy is defined as the reduction in susceptibility to HIV infection upon exposure to an HIV-infected partner. Our basic mechanism of protection assumes that a patient's daily drug use confers either 50 or 70% efficacy, but partial individual adherence (e.g., drug is not taken every day) confers zero efficacy. A second, 'adherence-dependent' mechanism confers some protection upon partial individual adherence. Persons with complete adherence experience either 50 or 70% efficacy (as under the basic mechanism), whereas those with partial adherence experience a reduced efficacy of 30 or 50%. Under a third 'exposure-dependent' mechanism, higher levels of viral exposure reduce the agent's protective efficacy. We assume complete individual adherence confers an expected efficacy of 50 or 70% at moderate levels of HIV exposure and 30 or 50% at high and sustained levels of exposure. Circumstances under which the high and sustained levels of HIV exposure might occur include multiple unprotected sexual or needle-sharing encounters with an infected partner in the primary phase of infection, commercial sex workers in high prevalence areas, or persons engaging in high-risk behavior with multiple, high-risk partners [62,63].
We examined implementation of a chemoprophylaxis program among uninfected MSM at very high risk of HIV infection, assuming MSM could be reached for enrollment in a chemoprophylaxis program through local HIV prevention programs and through venues and publications whose primary audience is MSM. Focusing on a very high-risk population improves the opportunity to achieve a potentially large public health impact. We define very high-risk individuals as those who in the past 6 months reported unprotected sex with an HIV-infected person, unprotected sex in exchange for money or drugs, anonymous sex, five or more sexual or needle-sharing partners, or were diagnosed with a sexually transmitted infection. Very high-risk MSM are thought to be 30% of the general MSM population [22-27]. In all simulations we modeled the participation of either 1500 or 15 000 individuals, corresponding to coverage rates of 2.5 and 25% of the very high-risk MSM population of NYC. Based on our assumptions, 15 000 high-risk MSM comprise just over 5% (5.2%) of the entire susceptible MSM population in NYC. We also considered three levels of program adherence by the targeted population: 95, 50 and 33% (i.e., the proportion of the enrolled population who maintain full individual adherence). All simulated interventions began in 2008 and continued until 2013.
Economic analyses
The economic analysis was conducted from the perspective of the US healthcare system. We included costs for chemoprophylaxis administration and monitoring and savings associated with prevented HIV treatment [46-50] (http://www.aidsonline.com). The outcome was incremental cost per quality-adjusted life years (QALY) saved for each HIV infection prevented. We selected one plausible set of assumptions for our base-case scenario to demonstrate cost-effectiveness, as recommended by Gold et al. [53]. Those assumptions were 50% efficacy under a basic mechanism of protection, with 15 000 coverage, and 50% adherence.
Drug costs, medical screening, monitoring and HIV/AIDS care
The agent that would be used for chemoprophylaxis, and thus its cost, is uncertain. In our analysis we used the 2007 US average wholesale price from the producer of FTC/TDF of US$ 31 per 500 mg tablet [46]. We also estimated the daily threshold price of the chemoprophylactic agent above which the incremental cost-effectiveness ratio (ICER) would exceed US$ 50 000 and US$ 100 000 per QALY saved. Costs for medical screening to determine eligibility of potential chemoprophylaxis candidates, followed by ongoing medical monitoring and adherence promotion (1 month after chemoprophylaxis initiation and at 3-month intervals thereafter) were calculated to be US$ 1300 per participant in the first year and US$ 1020 each year thereafter [47-49] (http://www.aidsonline.com). To approximate the true cost of service provision rather than charges, costs for medical services were based on Medicare reimbursement rates. We assumed an annual dropout rate of 40% equal to the recruitment rate, keeping the total enrollment of high-risk MSM constant. The average 5-year per-participant program cost was US$ 5370 (discounted at 3%). We assumed that all participants incurred these costs, regardless of their actual adherence to chemoprophylaxis or participation in medical monitoring. The average 5-year combined cost for drug and support services was US$ 58 700 per participant, of which 91% was for chemoprophylaxis agents.
To assess the value of infections prevented, we used a base-case HIV-related lifetime treatment cost of US$ 343 130 and 6.95 QALYs saved [50-52]. In sensitivity analyses we adjusted the lifetime treatment cost by 30%. Both costs and QALYs were discounted at 3% in the analysis. We calculated net costs as program costs, for chemoprophylaxis and monitoring, less lifetime treatment costs among those in whom HIV infection was prevented. We divided net costs by the number of QALYs saved to estimate the ICER.
Sensitivity/uncertainty analyses
For the epidemiological analysis, we assessed 36 intervention scenarios varying efficacy, mechanism of protection, coverage, and adherence. We varied behavioral and epidemiological parameters using Latin-hypercube sampling 200 times within each scenario. For the economic analysis, we estimated ICERs and daily chemoprophylactic threshold prices for all combinations of program parameters and the three estimates of lifetime treatment costs, as well as for the low and high limits of the 90% CI around expected number of cases prevented.
In supplementary analyses, we examined the combined effect of chemoprophylaxis efficacy and increases in risk behavior on the number of cases of HIV prevented under base-case assumptions. In these simulations, chemoprophylaxis efficacy varied between 10 and 90%. Changes in risk behavior were modeled by assuming a hypothetical population-wide increase of 0-20% in annual number of sexual partners as a consequence of introducing a chemoprophylaxis intervention.
Results
Baseline model prevalence and incidence
Figure 1a illustrates model predictions of the number of MSM LWHA in NYC between 1975 and 2020 generated from base-case parameter assumptions and sensitivity analyses. The model predicts a total of 48 380 MSM LWHA (90% CI: 28 910-58 730) who are HIV-infected (diagnosed or undiagnosed) living in 2008, corresponding to the model's HIV prevalence of 14.6% (90% CI: 8.1-18.4%). Average prevalence by age from our model is 6.4, 13.1, 18.3 and 16.2% for 13-24, 25-34, 35-44 and over 45 years, respectively, corresponding roughly with data from the National HIV Behavioral Surveillance system [54,55]. Figure 1b illustrates the model predictions of the number of new infections per year among MSM. The model predicts 3880 new infections (90% CI: 3000-4840) in 2008 equivalent to a 1.35% annual incidence rate in MSM (90% CI: 0.92-1.87%). By age group, our model predicts 380, 1740, 1210 and 520 new infections in the age groups 13-24, 25-34, 35-44 and over 45 years, respectively, in year 2008. Incidence rates by age group are 0.84, 1.85, 1.58 and 0.75%. This trend in which HIV incidence is highest in middle age groups is consistent with age-specific estimates of HIV incidence in all men in NYC [56] and estimates from MSM in Texas and Louisiana [57]. More model predictions for prevalence and incidence by age are given at http://www.aidsonline.com in which they are compared with surveillance data.
During the 5-year period from 2008 to 2013, we predict that a total of 19 510 (90% CI: 14 700-24 560) new infections are projected to occur in the absence of additional effective interventions. Of these new infections, over half (10 740 infections) will occur in the highest risk sexual activity classes.
Cases prevented for base-case scenario
In this scenario, with coverage of 15 000 high-risk MSM, the basic mechanism of protection, an efficacy of 50% and program adherence of 50%, 1710 new cases of HIV could be prevented, or 8.7% of the 19 510 new cases of HIV predicted by current incidence rates. Among the 1710 cases prevented, 700 are directly prevented through participation in the chemoprophylaxis program, whereas the remaining 1010 cases are secondary cases prevented indirectly by reducing HIV prevalence in the community. Specifically, it is the prevalence of sexually active individuals in the short primary stage of infection (in which most HIV transmissions occur under our parameter assumptions) that declines rapidly with chemoprophylaxis and leads to a large number of indirectly prevented cases.
Alternative scenarios
Table 1 provides the number and proportion of HIV cases prevented during the 5-year chemoprophylaxis intervention period from 2008 to 2013 under different assumptions of mechanism of protection, efficacy, adherence, and coverage. The proportion ranges from 0.3 to 23.1%. Low and high values for expected cases prevented correspond to the 90% CI from 200 repetitions of a given scenario.
Within a given scenario, the uncertainty in number of sexual partners and epidemiological parameters imply that the expected number of cases of HIV infections prevented will vary by approximately plus or minus 1300 cases. Therefore, when coverage is 2.5% and the expected number of HIV infections prevented is less than 1300, it is possible that no population-wide benefit will be achieved. This is reflected in zero values for the lower limit of cases prevented in some scenarios.
Figure 2 illustrates the effect of chemoprophylaxis efficacy and increases in risky behavior on the number of HIV cases prevented in the base-case scenario. The contour '0' represents the level at which a population-wide increase in annual number of new sexual partners will counterbalance any expected benefit of a chemoprophylactic agent of given efficacy. In particular, if chemoprophylaxis efficacy is 50%, then a 4.1% increase in annual number of new sexual partners will offset the 1710 new cases of HIV infection, which would otherwise be expected.
Costs, effectiveness, and cost-effectiveness of HIV chemoprophylaxis
At US$ 31 per daily dose, the present value cost of the 5-year chemoprophylaxis intervention for 15 000 MSM is US$ 900 million. The present value of HIV/AIDS costs avoided total US$ 546 million. Thus, net incremental costs of the intervention are US$ 354 million for the base-case scenario. Net QALYs saved through the intervention are estimated at 11 000.
Table 2 indicates the ICERs for variations in program parameters, including the programmatic base-case assumptions, and for low and high HIV care costs. It provides the US$ 50 000 threshold daily chemoprophylaxis cost associated with the base-case cost of lifetime HIV care. We omitted the analysis for 2.5% coverage in Tables 2 and 3 because this level of coverage did not consistently achieve the minimum number of cases prevented. Under base-case programmatic assumptions, a chemoprophylaxis program cost US$ 31 970 per QALY saved, and the daily chemoprophylaxis cost would have to be greater than US$ 39 before the US$ 50 000 willingness-to-pay threshold was exceeded.
Table 3 provides the ICERs and daily chemoprophylactic threshold prices where the number of cases prevented corresponds to the upper and lower limits generated by the epidemiological model. Based on results in Tables 2 and 3, the ICER fell below the US$ 50 000 cost-effectiveness threshold in 75% of 80 scenarios, and below the US$ 100 000 threshold in 87.5% of the scenarios. Higher ICERs were associated with lower adherence under the basic and exposure-dependent mechanisms.
Discussion
Our analyses show the use of HIV chemoprophylaxis among high-risk MSM in large metropolitan areas could result in significant numbers of HIV infections prevented and be cost-effective under many of the combinations of program parameters and costs of chemoprophylaxis and HIV care. Under base-case assumptions, chemoprophylaxis prevented 8.7% of expected HIV cases over 5 years, and from 0.3 to 23.1% over a broad range of programmatic assumptions. Across all assumptions and the 90% CI for cases prevented, chemoprophylaxis was cost-effective 75% of the time at a threshold of US$ 50 000 per QALY saved and 87.5% of the time at a US$ 100 000 threshold.
The present model not only indicates expected cases of HIV prevented among those taking chemoprophylaxis, but also infections prevented indirectly through herd effects. Our base-case analysis shows that indirectly prevented infections represent 59% of all HIV cases prevented.
The safety and efficacy of TDF or FTC/TDF prophylaxis is being evaluated currently among heterosexual, homosexual and injection drug users (IDU) in trials in North and South America, Asia, and Africa [18]. Trial completion is expected as early as 2008 among IDU in Thailand, whereas the completion date for several other trials has not yet been announced. In our model, we allowed efficacy to vary between 30 and 70% depending on the mechanism of protection. We did not explore very low levels of efficacy based on an assumption that an agent would have to achieve 30-50% efficacy to be adopted by providers and consumers. Early primate and human studies suggest that efficacies around 50% or more could be possible [6,7].
Chemoprophylactic coverage among MSM was important to the results. We found that when 2.5% of high-risk MSM were enrolled, chemoprophylaxis did not prevent enough HIV infections to justify the intervention. Coverage of 25% of high-risk MSM led to expected reductions in HIV infections of 4-23%, depending on assumptions about efficacy, mechanism of protection, and coverage. Assumptions about lifetime HIV treatment costs generally did not affect whether cost-effectiveness ratios fell within thresholds of interest.
In our model, we used the average wholesale price of FTC/TDF. Our analyses show that under many scenarios the daily cost could be substantially higher than that price before the US$ 50 000 cost/QALY saved threshold was exceeded. On the contrary, use of less costly agents (e.g., TDF) may also be cost-effective at lower efficacy if coverage of high-risk MSM is 25% or higher and program adherence is 50% or higher. In our analyses, use of TDF (US$ 17 per 300 mg tablet) as a chemoprophylactic agent instead of FTC/TDF reduced program costs by 39%.
Three key concerns have been raised about the use of antiretroviral drugs to prevent HIV infection. Those are the possibility that chemoprophylaxis could lead to increases in risk behavior that offset the benefits, antiretroviral drug resistance among those who experience breakthrough HIV infections, and renal impairment related to prolonged use of TDF.
We examined the effect of increases in risk behavior that might stem from a greater sense of protection while using HIV chemoprophylaxis, resulting in fewer cases prevented or potentially, higher HIV incidence. Increases in risk behavior have been documented in some populations following the widespread introduction of highly active antiretroviral therapy [64,65]. One model showed that even a 10% increase in risk behavior would offset antiretroviral therapy's benefits in decreasing transmission [66]. We found that under our base-case assumptions, only a 4.1% increase in sexual partners (among enrolled and not enrolled in chemoprophylaxis) was sufficient to fully offset the number of infections prevented. Ongoing reinforcement of risk-reduction measures for persons receiving chemoprophylaxis, and improved behavioral surveillance to detect increases in risk behaviors will be vital to an HIV chemoprophylaxis program.
The development of antiretroviral drug resistance could limit future HIV treatment choices for individuals who experience breakthrough HIV infections while taking chemoprophylaxis, and the HIV drug-resistant viral strain could be transmitted to others. However, the risk of drug resistance emergence in persons who fail chemoprophylaxis is currently unknown and will likely depend on several factors, including the potency of the chemoprophylaxis, adherence, and the duration of drug exposure following infection. Data from primate models suggest that drug resistance emergence in breakthrough infections in the presence of either TDF, FTC, or TDF/FTC was less frequent than anticipated and underscored potential differences in drug resistance dynamics during chemoprophylaxis failures from those in single-drug or dual-drug therapy of established infections [7,45]. We, therefore, decided not to include the development of antiretroviral drug resistance in our model until more data become available. One modeling study [67] that explored the impact of antiretroviral drug resistance during breakthrough infections found that assumptions about the emergence of drug resistance had little impact on QALYs saved. Another reported that the development of drug resistance could be minimized by targeting chemoprophylaxis to high-risk populations, optimizing high efficacy and high adherence, and decreasing the amount of time infected persons remain on chemoprophylaxis [68]. Ongoing adherence support for participants, frequent HIV screening to detect breakthrough infections early, and genotypic resistance testing for those who become HIV-infected may be important.
In our analyses, we assumed no significant renal impairment associated with chemoprophylaxis given our inclusion of initial and quarterly medical screening to exclude patients at risk of or developing the condition. The established safety profile of FTC/TDF [69] indicates little evidence of renal impairment among patients receiving the drug to treat HIV. A study of TDF chemoprophylaxis among African women found no indication of renal impairment in 210.2 person-years of follow-up [6].
In summary, although effectiveness and cost-effectiveness of an HIV chemoprophylaxis program for high-risk MSM in the United States are subject to a number of important, inter-related and still largely undetermined variables, we found such a program could be reasonably effective at reducing the number of new HIV infections and quite cost-effective over a broad range of epidemiological, programmatic, and cost variables. This analysis should give strong impetus to the ongoing chemoprophylaxis trials as well as to research on potential program implementation.
Acknowledgements
We are grateful to William McGreevey, Constella Group LLC/Futures Group International, for his significant contribution to economic analyses and manuscript preparation; John Stover, Constella Group LLC/Futures Group International, John Glasser and Mark Messonnier, National Immunization Program, CDC, for contribution to the conception and design of this study; Sal Butera, Tom Folks, Walid Heneine, Lynn Paxton, Shambavi Subbarao and Charles Vitek, Division of HIV/AIDS Prevention, CDC, for helpful discussions on the potential efficacy and mechanism of chemoprophylactic agents based on primate models; and Judith Sackoff, New York City Department of Health and Mental Hygiene, HIV Surveillance Unit, for helpful discussions and interpretations of HIV/AIDS surveillance data for NYC. Finally, we thank three anonymous reviewers for helpful suggestions to strengthen our analyses and manuscript.
All authors contributed to the various stages of this study from its conception to finalization of the manuscript: K.D., M.C.B., G.P.G., M.A., D.J.H., P.D.M., H.I.H. and S.L.S. contributed to development of the epidemiological model and/or its parameterization; K.D. and M.C.B. performed model programming, testing and/or simulation work; S.L.S., S.R.S., R.S., C.R.S., S.S. and P.D.M. contributed to the development of economic framework and/or performed economic analyses; all authors contributed to collection of epidemiological or economic data, interpretation of the epidemiological and economic results and to manuscript writing or revision.
Disclaimer: The findings and conclusions in this report are those of the authors and do not necessarily represent the views of the Centers for Disease Control and Prevention/the Agency for Toxic Substances and Disease Registry or the New York City Department of Health and Mental Hygiene.
Support: All stages of this work was funded by the US Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, including design and conduct of the study; collection, management, analysis and interpretation of data; and preparation, review, and approval of the manuscript.
References
3. Glynn M, Rhodes P. Estimated HIV prevalence in the United States at the end of 2003. Presented at 2005 National HIV Prevention Conference, Atlanta, GA. 12-15 June 2005 [abstract T1-B1101]. 4. Youle M, Weinberg MA. Could chemoprophylaxis be used as an HIV prevention strategy while we wait for an effective vaccine? AIDS 2003; 17:937-938. 5. Paxton LA, Hope T, Jaffe HW. Preexposure prophylaxis for HIV infection: what if it works? Lancet 2007; 370:89-93. 6. Peterson L, Taylor D, Roddy R, Belai G, Phillips P, Nanda K, et al. Tenofovir disoproxil fumarate for prevention of HIV infection in women: a phase 2, double-blind, randomized, placebo-controlled trial. PLoS Clin Trials 2007; 2:e27. 7. García-Lerma JG, Otten RA, Qari SH, Jackson E, Cong ME, Masciotra S, et al. Prevention of rectal SHIV transmission in macaques by daily or intermittent prophylaxis with emtricitabine and tenofovir. PLoS Med 2008; 5:e28. 8. Osterholm MT, Hedberg CW, MacDonald KL. In: Mandell GL, Bennett JE, Dolin R, editors. Principles and practice of infectious diseases, 4th ed. New York: Churchill Livingstone; 1995. pp. 158-168. 9. Connor EM, Sperling RS, Gelber R, Kiselev P, Scott G, O'Sullivan MJ, et al. Reduction of maternal-infant transmission of human immunodeficiency virus type I with zidovudine treatment. Pediatric AIDS Clinical Trials Group Protocol 076 Study Group. N Engl J Med 1994; 331:1173-1180. 10. Cooper ER, Charurat M, Mofenson L, Hanson IC, Pitt J, Diaz C, et al. Combination antiretroviral strategies for the treatment of pregnant HIV-1-infected women and prevention of perinatal HIV-1 transmission. J Acquir Immune Defic Syndr 2002; 29:484-494. 11. Centers for Disease Control and Prevention. Antiretroviral postexposure prophylaxis after sexual, injection-drug use, or other nonoccupational exposure to HIV in the United States recommendations from the US Department of Health and Human Services. MMWR 2005; 54 (RR02):1-20. 12. Centers for Disease Control and Prevention. Updated US Public Health Service guidelines for the management of occupational exposures to HBV, HCV, and HIV and recommendations for postexposure prophylaxis. MMWR 2001; 50 (RR11):1-42. 13. Grant RM, Buchbinder S, Cates W, Clarke E, Coates T, Cohen MS, et al. Promote HIV chemoprophylaxis research, don't' prevent it. Science 2005; 309:2170-2171. 14. Ray AS, Myrick F, Vela JE, Olson LY, Eisenberg EJ, Borroto-Esodo K, et al. Lack of a metabolic and antiviral drug interaction between tenofovir, abacavir and lamivudine. Antivir Ther 2005; 10:451-457. 15. Gallant JE, Staszewski S, Pozniak AL, DeJesus E, Suleiman JM, Miller MD, et al. Efficacy and safety of tenofovir DF vs stavudine in combination therapy in antiretroviral-naive patients: a 3-year randomized trial. JAMA 2002; 292:191-201. 16. van Rompay KKA, McChesney MB, Aguirre NL, Schmidt KA, Bischofberger N, Marthas ML. Two low doses of tenofovir protect newborn macaques against oral simian immunodeficiency virus infection. J Infect Dis 2001; 184:429-438. 18. Cohen MS, Kashuba ADM. Antiretroviral therapy for prevention of HIV infection: new clues from an animal model. PLoS Med 2008; 5:e30. 19. Cohen J. Protect or disinhibit? New York Times. 22 January 2006. 22. Agronick G, O'Donnell L, Stueve A, Doval AS, Duran R, Vargo S. Sexual behaviors and risks among bisexually- and gay-identified young Latino men. AIDS Behav 2004; 8:185-197. 23. Stall RD, Hays RB, Waldo CR, Ekstrand M, McFarland W. The Gay '90s: a review of research in the 1990s on sexual behavior and HIV risk among men who have sex with men. AIDS 2000; 14(Suppl 3):S101-S114. 24. Ekstrand ML, Stall RD, Paul JP, Osmond DH, Coates TJ. Gay men report high rates of unprotected anal sex with partners of unknown or discordant HIV status. AIDS 1999; 13:1525-1533. 25. Steiner S, Lemke AL, Roffman RA. Risk behavior for HIV transmission among gay men surveyed in Seattle bars. Public Health Rep 1994; 109:563-566. 26. Kelly JA, Murphy DA, Roffman RA, Solomon LJ, Winett RA, Stevenson LY, et al. Acquired immunodeficiency syndrome/human immunodeficiency virus risk behavior among gay men in small cities. Findings of a 16-city national sample. Arch Intern Med 1992; 152:2293-2297. 27. Valleroy LA, MacKellar DA, Karon JM, Rosen DH, McFarland W, Shehan DA, et al. HIV prevalence and associated risks in young men who have sex with men. Young Men's Survey Study Group. JAMA 2000; 284:198-204. 28. Bell FC, Wade ML. Life tables for the United States social security area 1900-2100. Social Security Administration, Office of the Chief Actuary. August 2002. SSA Pub. No. 11-11536. 29. Wawer MJ, Gray RH, Sewankambo NK, Serwadda D, Li X, Laeyendecker O, et al. Rates of HIV-1 transmission per coital act, by stage of HIV-1 infection, in Rakai, Uganda. J Infect Dis 2005; 191:1403-1409. 30. Chakraborty H, Sen PK, Helms RW, Vernazza PL, Fiscus SA, Eron JJ, et al. Viral burden in genital secretions determines male-to-female sexual transmission of HIV-1: a probabilistic empiric model. AIDS 2001; 30:621-627. 31. Gray RH, Wawer MJ, Brookmeyer R, Sewankambo NK, Serwadda D, Wabwire-Mangen F, et al. Probability of HIV-1 transmission per coital act in monogamous, heterosexual, HIV-1-discordant couples in Rakai, Uganda. Lancet 2001; 357:1149-1153. 32. Quinn TC, Wawer MJ, Sewankambo N, Serwadda D, Li C, Wabwire-Mangen F, et al. Viral load and heterosexual transmission of human immunodeficiency virus type 1. Rakai Project Study Group. N Engl J Med 2000; 342:921-929. 33. de Vincenzi I. A longitudinal study of human immunodeficiency virus transmission by heterosexual partners. European Study Group on Heterosexual Transmission of HIV. N Engl J Med 1994; 331:341-346. 34. Fideli US, Allen SA, Musonda R, Trask S, Hahn BH, Weiss H, et al. Virologic and immunologic determinants of heterosexual transmission of human immunodeficiency virus type 1 in Africa. AIDS Res Hum Retroviruses 2001; 17:901-910. 35. Pilcher CD, Tien HC, Eron JJ Jr, Vernazza PL, Leu SY, Stewart PW, et al. Brief but efficient: acute HIV infection and the sexual transmission of HIV. J Infect Dis 2004; 89:1785-1792. 36. Shiboski SC, Padian NS. Epidemiologic evidence for time variation in HIV infectivity. J Acquir Immune Defic Syndr Hum Retrovirol 1998; 19:527-535. 37. Leynaert B, Downs AM, de Vincenzi I. Heterosexual transmission of human immunodeficiency virus: variability of infectivity throughout the course of infection. European Study Group on Heterosexual Transmission of HIV. Am J Epidemiol 1998; 148:88-96. 38. Operskalski EA, Stram DO, Busch MP, Huang W, Harris M, Dietrich SL, et al. Role of viral load in heterosexual transmission of human immunodeficiency virus type 1 by blood transfusion recipients. Transfusion Safety Study Group. Am J Epidemiol 1997; 146:655-661. 39. Pedraza MA, del Romero J, Roldan F, García S, Ayerbe MC, Noriega AR, Alcamí J. Heterosexual transmission of HIV-1 is associated with high plasma viral load levels and a positive viral isolation in the infected partner. J Acquir Immune Defic Syndr 1999; 21:120-125. 40. Ananworanich J, Siangphoe U, Hill A, Cardiello P, Apateerapong W, Hirschel B, et al. Highly active antiretroviral therapy (HAART) retreatment in patients on CD4-guided therapy achieved similar virologic suppression compared with patients on continuous HAART: the HIV Netherlands Australia Thailand Research Collaboration 001.4 study. J Acquir Immune Defic Syndr 2005; 39:523-529. 41. Rodes B, Garcia F, Gutierrez C, Martinez-Picado J, Aguilera A, Saumoy M, et al. Impact of drug resistance genotypes on CD4+ counts and plasma viremia in heavily antiretroviral-experienced HIV-infected patients. J Med Virol 2005; 77:23-28. 42. Smit C, Geskus R, Uitenbroek D, Mulder D, Van Den Hoek A, Coutinho RA, Prins M. Declining AIDS mortality in Amsterdam: contributions of declining HIV incidence and effective therapy. Epidemiology 2004; 15:536-542. 43. San Andres Rebollo FJ, Rubio García R, Castilla Catalán J, Pulido Ortega F, Palao G, de Pedro Andrés I, et al. Mortality and survival in a cohort of 1115 HIV-infected patients (1989-97). Ann Med Intern 2004; 21:523-532. 44. Marins JR, Jamal LF, Chen SY, Barros MB, Hudes ES, Barbosa AA, et al. Dramatic improvement in survival among adult Brazilian AIDS patients. AIDS 2003; 17:1675-1682. 45. Subbarao S, Otten RA, Ramos A, Kim C, Jackson E, Monsour M, et al. Chemoprophylaxis with tenofovir disoproxil fumarate provided partial protection against infection with simian human immunodeficiency virus in macaques given multiple virus challenges. J Infect Dis 2006; 194:904-911. 46. Thomson PDR. Redbook: pharmacy's fundamental reference. Montvale, NJ: Thomson PDR; 2007. 50. Schackman BR, Gebo KA, Walensky RP, Losina E, Muccio T, Sax PE, et al. The lifetime cost of current human immunodeficiency virus care in the United States. Med Care 2006; 44:990-997. 52. Tengs TO, Lin TH. A meta-analysis of utility estimates for HIV/AIDS. Med Decis Making 2002; 22:475-481. 53. Gold MR, Siegel JE, Russell LB, Weinstein MC, editors (1996). Cost-effectiveness in health and medicine. New-York: Oxford University Press; p. 233. 55. Sifakis F, Flynn CP, Metsch L, Lalota M, Murrill C, Koblin BA, et al. HIV Prevalence, unrecognized infection, and HIV testing among men who have sex with men - five US cities, June 2004-April 2005. MMWR Morb Mortal Wkly Rep 2005; 54:597-601. 56. New York City Department of Health and Mental Hygiene, HIV Surveillance and Epidemiology Program. HIV Incidence in New York City 2001. August 1, 2003. Special Supplemental Report, Vol 1, No S1. Available at http://www.nyc.gov/html/doh/downloads/pdf/dires/sa2003.pdf. [Accessed 13 March 2008]. 57. Linley L, Song R, Sharma C, Wendell D, Kahn D, Miller D, Lee L. Trends in HIV incidence using serologic testing algorithm, for recent HIV seroconversion among persons being served in counseling, testing, and referral settings in 2 high-morbidity Southern States, 1996-2002. In: 12th Conference on Retroviruses and Opportunistic Infections, Boston MA, 22-25 February 2005 [abstract 965]. 58. McFarland W, Katz MH, Stoyanoff SR, Shehan DA, LaLota M, Celentano DD, et al. HIV incidence among young men who have sex with men - seven US cities, 1994-2000. MMWR Morb Mortal Wkly Rep 2001; 50:440-444. 59. Vu MQ, Steketee RW, Valleroy L, Weinstock H, Karon J, Janssen R, et al. HIV incidence in the United States, 1978-1999. J Acquir Immune Defic Syndr 2002; 31:188-201. 60. McKay MD, Beckman RJ, Conover WJ. A Comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics 2000; 21:239-245. 61. Blower SM, Dowlatabadi H. Sensitivity and uncertainty analysis of complex models of disease transmission: an HIV model, as an example. Int Stat Rev 1994; 62:229-243. 62. Bernard NF, Yannakis CM, Lee JS, Tsoukas CM. Human immunodeficiency virus (HIV)-specific cytotoxic T lymphocyte activity in HIV-exposed seronegative persons. J Infect Dis 1999; 170:538-547. 63. Goh WC, Markee J, Akridge RE, Meldorf M, Musey L, Karchmer T, et al. Protection against human immunodeficiency type 1 infection in persons with repeated exposure: evidence for T cell immunity in the absence of inherited CCR5 coreceptor defects. J Infect Dis 1999; 179:548-557. 64. Miller M, Meyer L, Boufassa F, Persoz A, Sarr A, Robain M, Spira A. Sexual behavior changes and protease inhibitor therapy. SEROCO Study Group. AIDS 2000; 14:F33-F39. 65. Katz MH, Schwarcz SK, Kellogg TA, Klausner JD, Dilley JW, Gibson S, McFarland W. Impact of highly active antiretroviral treatment on HIV seroincidence among men who have sex with men: San Francisco. Am J Public Health 2002; 92:388-394. 66. Blower SM, Gershengorn HB, Grant RM. A tale of two futures: HIV and antiretroviral therapy in San Francisco. Science 2000; 287:650-654. 67. Paltiel D, Freedberg K, Scott C, Schackman B, Losina E, Wang B, et al. Effect of preexposure HIV prophylaxis on lifetime infection risk, survival, and cost. 15th Conference on Retroviruses and Opportunistic Infections, Boston, 3-6 February 2008 [abstract 563]. 68. Abbas UL, Anderson RM, Mellors JW. Modeling the emergence and spread of HIV drug resistance from antiretroviral preexposure chemoprophylaxis. 15th Conference on Retroviruses and Opportunistic Infections, Boston, 3-6 February 2008 [abstract 564].
Keywords: chemoprophylaxis; economics; HIV; homosexual men; mathematical models; preexposure prophylaxis
© 2008 Lippincott Williams & Wilkins, Inc.
|
|
|
|
|
Keyword Highlighting
Highlight selected keywords in the article text.
|
|
|
|
|
|