Literature DB >> 18614928

Using modeling to explore the degree to which a microbicide's sexually transmitted infection efficacy may contribute to the HIV effectiveness measured in phase 3 microbicide trials.

Peter Vickerman1, Anna Foss, Charlotte Watts.   

Abstract

BACKGROUND: Several microbicide candidates show activity against pathogens that cause sexually transmitted infections (STIs). This may increase a microbicide's impact on HIV in phase 3 trials. Modeling is used to estimate the degree to which a microbicide's STI efficacy contributes to the HIV effectiveness of a phase 3 microbicide trial.
METHODS: An expression is derived and coupled with an STI model to estimate how much a microbicide's STI efficacy contributes to a trial's HIV effectiveness. The STI model estimates the decrease in STI prevalence that may occur in the trial's active gel arm for microbicides of different STI efficacy. Projections are produced for different STI cofactors and epidemiological settings.
RESULTS: The model projects that if a microbicide is active against curable STIs with a combined prevalence of >or=10% among trial participants and the reduction in HIV incidence is <50%, then the STI activity could have substantially contributed to the trial's HIV effectiveness (>50% in some cases) if the per exposure multiplicative STI cofactor is 2.5 or greater. However, if the STI prevalence is <10% or the STI cofactor is <2.5 or if the reduction in HIV incidence is >50%, then the trial's HIV effectiveness will be mainly due to its direct HIV efficacy.
CONCLUSIONS: In high STI settings, phase 3 trials documenting a moderate impact on HIV incidence may partially result from a gel's activity against curable STI. Care should be taken generalizing these trial results to other settings. This is less important for trials documenting large reductions in HIV incidence.

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Year:  2008        PMID: 18614928     DOI: 10.1097/QAI.0b013e31817aebd6

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  8 in total

1.  Modeling the gender-specific impact of vaginal microbicides on HIV transmission.

Authors:  Dobromir T Dimitrov; Marie-Claude Boily; Rebecca F Baggaley; Benoit Masse
Journal:  J Theor Biol       Date:  2011-08-10       Impact factor: 2.691

2.  HPTN 035 phase II/IIb randomised safety and effectiveness study of the vaginal microbicides BufferGel and 0.5% PRO 2000 for the prevention of sexually transmitted infections in women.

Authors:  M Bradford Guffey; Barbra Richardson; Marla Husnik; Bonus Makanani; David Chilongozi; Elmer Yu; Gita Ramjee; Nyaradzo Mgodi; Kailazarid Gomez; Sharon L Hillier; Salim Abdool Karim
Journal:  Sex Transm Infect       Date:  2014-06-04       Impact factor: 3.519

3.  Impact of Pill Sharing on Drug Resistance Due to a Wide-Scale Oral Prep Intervention in Generalized Epidemics.

Authors:  Dobromir Dimitrov; Marie-Claude Boily; Benoît R Mâsse; Elizabeth R Brown
Journal:  J AIDS Clin Res       Date:  2012-07-08

4.  The meaning of adherence when behavioral risk patterns vary: obscured use- and method-effectiveness in HIV-prevention trials.

Authors:  Marijn de Bruin; Wolfgang Viechtbauer
Journal:  PLoS One       Date:  2012-08-31       Impact factor: 3.240

5.  Cost-effectiveness of tenofovir gel in urban South Africa: model projections of HIV impact and threshold product prices.

Authors:  Fern Terris-Prestholt; Anna M Foss; Andrew P Cox; Lori Heise; Gesine Meyer-Rath; Sinead Delany-Moretlwe; Thomas Mertenskoetter; Helen Rees; Peter Vickerman; Charlotte H Watts
Journal:  BMC Infect Dis       Date:  2014-01-09       Impact factor: 3.090

6.  How Much Do We Know about Drug Resistance Due to PrEP Use? Analysis of Experts' Opinion and Its Influence on the Projected Public Health Impact.

Authors:  Dobromir T Dimitrov; Marie-Claude Boily; Timothy B Hallett; Jan Albert; Charles Boucher; John W Mellors; Deenan Pillay; David A M C van de Vijver
Journal:  PLoS One       Date:  2016-07-08       Impact factor: 3.240

7.  Assortative mixing as a source of bias in epidemiological studies of sexually transmitted infections: the case of smoking and human papillomavirus.

Authors:  P Lemieux-Mellouki; M Drolet; J Brisson; E L Franco; M-C Boily; I Baussano; M Brisson
Journal:  Epidemiol Infect       Date:  2015-11-20       Impact factor: 4.434

Review 8.  Analytic review of modeling studies of ARV Based PrEP interventions reveals strong influence of drug-resistance assumptions on the population-level effectiveness.

Authors:  Dobromir Dimitrov; Marie-Claude Boily; Elizabeth R Brown; Timothy B Hallett
Journal:  PLoS One       Date:  2013-11-25       Impact factor: 3.240

  8 in total

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