Comparing the cost-effectiveness of two- and three-dose schedules of human papillomavirus vaccination: a transmission-dynamic modelling study.

BACKGROUND: Recent evidence suggests that two doses of HPV vaccines may be as protective as three doses in the short-term. We estimated the incremental cost-effectiveness of two- and three-dose schedules of girls-only and girls & boys HPV vaccination programmes in Canada. METHODS: We used HPV-ADVISE, an individual-based transmission-dynamic model of multi-type HPV infection and diseases (anogenital warts, and cancers of the cervix, vulva, vagina, anus, penis and oropharynx). We conducted the analysis from the health payer perspective, with a 70-year time horizon and 3% discount rate, and performed extensive sensitivity analyses, including duration of vaccine protection and vaccine cost. FINDINGS: Assuming 80% coverage and a vaccine cost per dose of $85, two-dose girls-only vaccination (vs. no vaccination) produced cost/quality-adjusted life-year (QALY)-gained varying between$7900-24,300. The incremental cost-effectiveness ratio of giving the third dose to girls (vs. two doses) was below $40,000/QALY-gained when: (i) three doses provide longer protection than two doses and (ii) two-dose protection was shorter than 30 years. Vaccinating boys (with two or three doses) was not cost-effective (vs. girls-only vaccination) under most scenarios investigated. INTERPRETATION: Two-dose HPV vaccination is likely to be cost-effective if its duration of protection is at least 10 years. A third dose of HPV vaccine is unlikely to be cost-effective if two-dose duration of protection is longer than 30 years. Finally, two-dose girls & boys HPV vaccination is unlikely to be cost-effective unless the cost per dose for boys is substantially lower than the cost for girls

Implications de l'hétérogénéité comportementale et biologique pour la vaccination contre les virus du papillome humain au niveau de la population : modélisation mathématique, revue systématique et méta-analyse

Objectifs : Dans plusieurs pays la couverture vaccinale contre les virus du papillome humain (VPH) est associée aux déterminants sociaux des comportements sexuels et la participation au dépistage du cancer du col utérin. Ces vaccins protègent uniquement contre certains types de VPH, donc leur impact futur sur les VPH nonvaccinaux demeure incertain. L’hétérogénéité comportementale entre individus et biologique entre types de VPH affectera l’efficacité populationnelle de la vaccination contre les VPH. Les objectifs spécifiques de cette thèse étaient 1) de modéliser comment une couverture vaccinale inégale entre filles préadolescentes qui différeront selon leur activité sexuelle et leur participation au dépistage du cancer du col affectera l’efficacité populationnelle de la vaccination, 2) faire une synthèse et comparer les estimés d’efficacité croisée des vaccins contre les VPH dans des populations ADN-négatives aux VPH et 3) d’identifier, avec la modélisation, les devis d’étude épidémiologique qui réduisent les biais dans l’estimation des interactions biologiques entre types de VPH. Méthode : Nous avons utilisé des modèles de transmission dynamique et une revue systématique de la littérature pour répondre aux objectifs. 1) Nous avons modélisé une couverture vaccinale inégale entre filles qui différeront selon leur activité sexuelle et leur participation au dépistage, et examiné les changements postvaccination dans l’inégalité dans la prévalence des VPH et l’incidence des carcinomes malpighien (SCC) du col de l’utérus entre femmes ayant différents comportements. 2) Nous avons effectué une revue systématique et méta-analyse des efficacités croisées des vaccins contre les VPH estimées dans des populations ADNnégatives aux VPH. 3) Nous avons développé des modèles de transmission dynamique et d’interaction de deux types de VPH pour simuler les études épidémiologiques d’interactions entre les VPH. Résultats : Pour l’objectif 1), notre modèle de transmission prédit que l’efficacité populationnelle du vaccin dépendra de la distribution du vaccin dans la population. Après la vaccination, les inégalités absolues dans l’incidence de l’infection et des SCC entre groupes de femmes qui diffèrent selon leur activité sexuelle et leur participation au dépistage devraient diminuer. Inversement, les inégalités relatives pourraient augmenter si les femmes plus sexuellement actives et celles qui ne se font jamais dépister ont une couverture vaccinale moins élevée que les autres. Le taux d’incidence des SCC demeurera élevé chez les femmes qui ne sont jamais dépistées après la vaccination. L’efficacité croisée vaccinale et les interactions biologiques entre VPH ne sont pas encore assez bien caractérisées pour pouvoir prédire l’impact du vaccin sur les types de VPH nonvaccinaux. Pour l’objectif 2), notre méta-analyse des essais cliniques des vaccins suggère que le vaccin bivalent a une efficacité croisée significativement plus élevée que le quadrivalent contre les infections persistantes et lésions précancéreuses avec les VPH-31, 33 et 45. Les essais cliniques plus longs estiment une efficacité croisée plus faible. La modélisation des études épidémiologiques d’interactions pour l’objectif 3) montre que l’estimation des interactions biologiques entre types de VPH dans les études épidémiologiques est systématiquement biaisée par la corrélation entre le temps à risque d’infection avec un type de VPH et le temps à risque d’infection avec d’autres types de VPH. L’ajustement pour des marqueurs d’activité sexuelle ne réussit pas à contrôler ce biais. Une mesure valide des interactions biologiques entre types de VPH peut être obtenue uniquement avec des études épidémiologiques prospectives qui restreignent les analyses à des individus susceptibles ayant des partenaires sexuels infectés. Conclusion : L’hétérogénéité comportementale entre individus et l’hétérogénéité biologique entre VPH affecteront l’efficacité populationnelle du vaccin contre les VPH. Dans les contextes où les déterminants sociaux des comportements sexuels et la participation au dépistage sont aussi associés à la couverture vaccinale chez les préadolescentes, l’inégalité relative dans l’incidence des SCC risque d’augmenter. Ces comportements demeureront des facteurs de risque importants du cancer du col à l’avenir. L’effet à long terme du vaccin sur les types de VPH non-vaccinaux demeure incertain. Quoique nos résultats suggèrent que les vaccins offrent une efficacité croisée contre certains types de VPH, celle-ci pourrait diminuer après quelques années. Des interactions compétitives entre VPH pourraient exister malgré les associations observées entre les incidences des infections VPH, donc une augmentation post-vaccination de la prévalence des VPH non-vaccinaux demeure possible. Des devis d’analyse plus complexes sont nécessaires pour mesurer de façon valide les interactions biologiques entre les VPH dans les études épidémiologiques.Objective: In many countries, uptake of the human papillomavirus (HPV) vaccine is associated with many of the same social determinants as cervical cancer and its behavioural risk factors, most notably sexual activity and screening participation. HPV vaccines only protect against a handful of oncogenic HPV types, so their impact on non-vaccine HPV types is uncertain. This behavioural heterogeneity between individuals and biological heterogeneity between HPV types will affect the population-level impact of HPV vaccination. The specific objectives were to 1) model how differential vaccine uptake between preadolescent girls who will have different sexual and cervical cancer screening behaviours can affect vaccination effectiveness, 2) review and compare estimates of HPV vaccine cross-efficacy in HPV-negative populations, and 3) use transmission modelling to identify the epidemiological study designs which reduce bias in the estimation of biological interactions between HPV types. Methods: We used transmission dynamic models and a systematic review of the literature to address these objectives. 1) We modeled different vaccine uptakes between preadolescent girls who will have different sexual and cervical cancer screening behaviours, and examined the predicted post-vaccination changes in inequalities in the prevalence of HPV and the incidence of cervical squamous cell carcinomas (SCC) between women with different behaviours. 2) We performed a systematic review and meta-analysis of HPV vaccine cross-efficacy in HPV-negative populations. 3) We developed dynamic transmission models of two HPV types to simulate epidemiological studies of biological interactions between HPV types. Results: For objective 1), our transmission dynamic model predicts that the population-level effectiveness of HPV vaccines will depend on its uptake distribution in the population. Absolute inequalities in the prevalence of infection and the incidence of SCC between women with different sexual and screening behaviours should diminish following vaccination. Inversely, relative inequalities between these women could increase if those who are more sexually active and who are never screened also have the lowest vaccine uptake. The incidence rate of SCC will remain high in women who are never screened post-vaccination. HPV vaccines’ cross-efficacy and the biological interactions between HPV types were not sufficiently quantified to allow predicting the impact of HPV vaccination on non-vaccine HPV types. For objective 2), our meta-analysis of vaccine clinical trials suggest that the bivalent vaccine has a significantly higher efficacy than the quadrivalent vaccine against infections and lesions with HPV-31, 33, and 45. Longer clinical trials estimate lower cross-efficacies. The simulation of epidemiological studies for objective 3) revealed that the estimation of biological interactions between HPV types in epidemiological studies is systematically biased by the correlation between the times at-risk for infection with different HPV types, which results in a cross-sectional and prospective correlation between their infection incidences. Adjusting for sexual behaviour markers does not control this bias. A valid measure of biological interactions between HPV types can only be obtained in prospective epidemiological studies which restrict analyses to times where individuals have an infected partner and thus are at-risk of infection. Conclusions: Behavioural heterogeneity between individuals and biological heterogeneity between HPV types will affect the population-level impact of HPV vaccination and should be considered in mathematical models and epidemiological studies. In contexts where the social determinants of sexual activity and screening are also associated with vaccine uptake in preadolescent girls, relative health inequalities may increase. These behaviours will remain important risk factors for cervical cancer in the vaccine era. The long-term effect of HPV vaccines on non-vaccine HPV types remains uncertain. While our results suggest that vaccines offer crossefficacy against certain HPV types, this cross-efficacy could wane within a few years. Competitive interactions between HPV types could exist despite observed associations between the incidences of different HPV type infections, so a post-vaccination increase in non-vaccine HPV types remains possible. More complex analysis designs are required to validly measure biological interactions between HPV types in epidemiological studies

Human papillomavirus vaccination and the role of herd effects in future cancer control planning: a review

Introduction: Vaccine herd effects are the indirect protection that vaccinated persons provide to those who remain susceptible to infection, due to the reduced transmission of infections. Herd effects have been an important part of the discourse on how to best implement human papillomavirus (HPV) vaccines and prevent HPV-related diseases. Areas covered: In this paper, we review the theory of HPV vaccine herd effects derived from mathematical models, give an account of observed HPV vaccine herd effects worldwide, and examine the implications of vaccine herd effects for future cervical cancer screening efforts. Expert commentary: HPV vaccine herd effects improve the cost-effectiveness of vaccinating preadolescent girls, but contribute to making gender-neutral vaccination less economically efficient. Vaccination coverage and sexual mixing patterns by age are strong determinants of herd effects. Many countries worldwide are starting to observe reductions in HPV-related outcomes likely attributable to herd effects, most notably declining anogenital warts in young men, and declining HPV-16/18 infection prevalence in young unvaccinated women. Policy makers making recommendations for cervical cancer screening will have to consider HPV vaccination coverage and herd effects, as these will affect the positive predictive value of screening and the risk of cervical cancer in unvaccinated women

Aislamiento e identificación de metabolitos secundarios de Artemisia sodiroi Hieron

Artemisia sodiroi Hieron (Asteraceae), commonly known as “Ajenjo”, is used in traditional medicine in Southern Ecuador for the treatment of inflammations, stomachaches, hepatic pains, fever, kidney problems, headaches, cough and by women to regulate their menstrual cycle. In this paper we report a phytochemical screening of the aerial parts of A. sodiroi, which led the identification of five known secondary metabolites, 24-methylenecicloartanol, stigmasterol, sitosterol, sabinyl acetate, and methyl-L-inositol, their structure were elucidated by spectroscopic methods including GC/MS, 1H NMR and 13C NMR.Artemisia sodiroi Hieron (Asteraceae), comúnmente conocido como “Ajenjo”, se utiliza en la medicina tradicional en el sur de Ecuador para el tratamiento de inflamaciones, dolores de estómago, dolores hepáticos, fiebre, problemas renales, dolores de cabeza, tos y se utiliza por las mujeres para regular su ciclo menstrual. En este trabajo se presenta un tamizaje fitoquímico de las partes aéreas de A. sodrioi, lo que condujo a la identificación de cinco metabolitos secundarios conocidos, 24-methylenecicloartanol, estigmasterol, sitosterol, el acetato de sabinyl, y metil-L-inositol, su estructura fueron determinadas por métodos espectroscópicos como GC/MS, 1H NMR y 13C NMR

Cross-protective efficacy of two human papillomavirus vaccines: a systematic review and meta-analysis.

BACKGROUND: The extent of cross-protection is a key element in the choice of human papillomavirus (HPV) vaccine to use in vaccination programmes. We compared the cross-protective efficacy of the bivalent vaccine (HPV 16 and 18; Cervarix, GlaxoSmithKline Biologicals, Rixensart, Belgium) and quadrivalent vaccine (HPV 6, 11, 16, and 18; Gardasil, Merck, Whitehouse Station, NJ, USA) against non-vaccine type HPVs. METHODS: We searched Medline and Embase databases, conference abstracts, and manufacturers' websites for randomised clinical trials assessing the efficacy of bivalent and quadrivalent vaccines against persistent infections (lasting ≥6 months) and cervical intraepithelial neoplasia (CIN) associated with the non-vaccine type HPVs (types 31, 33, 45, 52, and 58). We included studies of participants who were HPV DNA negative before vaccination for all HPV types assessed. We assessed heterogeneity in vaccine efficacy estimates between trials with I(2) and χ(2) statistics. FINDINGS: We identified two clinical trials (Females United to Unilaterally Reduce Endo/Ectocervical Disease [FUTURE] I and II) of the quadrivalent vaccine and three (Papilloma Trial Against Cancer In Young Adults [PATRICIA], HPV007, and HPV-023) of the bivalent vaccine. Analysis of the most comparable populations (pooled FUTURE I/II data vs PATRICIA) suggested that cross-protective vaccine efficacy estimates against infections and lesions associated with HPV 31, 33, and 45 were usually higher for the bivalent vaccine than the quadrivalent vaccine. Vaccine efficacy in the bivalent trial was higher than it was in the quadrivalent trial against persistent infections with HPV 31 (77·1% [95% CI 67·2 to 84·4] for bivalent vaccine vs 46·2% [15·3 to 66·4] for quadrivalent vaccine; p=0·003) and HPV 45 (79·0% [61·3 to 89·4] vs 7·8% [-67·0 to 49·3]; p=0·0003), and against CIN grade 2 or worse associated with HPV 33 (82·3% [53·4 to 94·7] vs 24·0% [-71·2 to 67·2]; p=0·02) and HPV 45 (100% [41·7 to 100] vs -51·9% [-1717·8 to 82·6]; p=0·04). We noted substantial heterogeneity between vaccine efficacy in bivalent trials against persistent infections with HPV 31 (I(2)=69%, p=0·04) and HPV 45 (I(2)=70%, p=0·04), with apparent reductions in cross-protective efficacy with increased follow-up. INTERPRETATION: The bivalent vaccine seems more efficacious against non-vaccine HPV types 31, 33, and 45 than the quadrivalent vaccine, but the differences were not all significant and might be attributable to differences in trial design. Efficacy against persistent infections with types 31 and 45 seemed to decrease in bivalent trials with increased follow-up, suggesting a waning of cross-protection; more data are needed to establish duration of cross-protection. FUNDING: Public Health Agency of Canada

Sexual Network Patterns and Their Association With Genital and Anal Human Papillomavirus Infection in Adolescent and Young Men

PurposeThis study aimed to determine individual- and partner-level factors associated with human papillomavirus (HPV) infection in vaccinated and unvaccinated men.MethodsA total of 747 men, aged 13-26 years, completed a survey of sexual behaviors and were tested for genital and perianal/anal HPV (36 types). Sexual network variables included recent and lifetime concurrency (being in more than one sexual relationship at the same time) and recent sex partner discordance (by race, ethnicity, age, and number of sexual partners). We determined individual-level and sexual network variables associated with ≥1 HPV type and HPV16/18, stratified by vaccination status, using separate multivariable logistic regression models.ResultsParticipants' mean age was 21.2 years; 64% were positive for ≥1 HPV type and 21% for HPV16/18. Factors associated with ≥1 HPV type in unvaccinated men included recruitment site and lifetime concurrency. Factors associated with ≥1 HPV type among vaccinated men included recruitment site, Chlamydia history, main male partner, number of lifetime female partners, and no condom use with female partner. Factors associated with HPV16/18 in unvaccinated men included race and partner concurrency. Factors associated with HPV16/18 in vaccinated men included ethnicity, main male partner, and recent concurrency.ConclusionsSexual network variables associated with HPV infection were different based on vaccination status and HPV type, suggesting risk factors for HPV infection may change as the proportion of vaccinated men increases. In addition, participant report of concurrency and not knowing whether one had practiced concurrency were consistent risk factors; clinicians should consider including concurrency in the sexual history to determine the risk of HPV