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The Long-Term Safety, Public Health Impact, and Cost-Effectiveness of Routine Vaccination with a Recombinant, Live-Attenuated Dengue Vaccine (Dengvaxia): A Model Comparison Study

Identifieur interne : 001616 ( Main/Exploration ); précédent : 001615; suivant : 001617

The Long-Term Safety, Public Health Impact, and Cost-Effectiveness of Routine Vaccination with a Recombinant, Live-Attenuated Dengue Vaccine (Dengvaxia): A Model Comparison Study

Auteurs : Stefan Flasche [Royaume-Uni] ; Mark Jit [Royaume-Uni] ; Isabel Rodríguez-Barraquer [États-Unis] ; Laurent Coudeville [France] ; Mario Recker [Royaume-Uni] ; Katia Koelle [États-Unis] ; George Milne [Australie] ; Thomas J. Hladish [États-Unis] ; T. Alex Perkins [États-Unis] ; Derek A. T. Cummings [États-Unis] ; Ilaria Dorigatti [Royaume-Uni] ; Daniel J. Laydon [Royaume-Uni] ; Guido Espa A [États-Unis] ; Joel Kelso [Australie] ; Ira Longini [États-Unis] ; Jose Lourenco [Royaume-Uni] ; Carl A. B. Pearson [États-Unis] ; Robert C. Reiner [États-Unis] ; Luis Mier-Y-Terán-Romero [États-Unis] ; Kirsten Vannice [Suisse] ; Neil Ferguson [Royaume-Uni]

Source :

RBID : PMC:5127514

Descripteurs français

English descriptors

Abstract

Background

Large Phase III trials across Asia and Latin America have recently demonstrated the efficacy of a recombinant, live-attenuated dengue vaccine (Dengvaxia) over the first 25 mo following vaccination. Subsequent data collected in the longer-term follow-up phase, however, have raised concerns about a potential increase in hospitalization risk of subsequent dengue infections, in particular among young, dengue-naïve vaccinees. We here report predictions from eight independent modelling groups on the long-term safety, public health impact, and cost-effectiveness of routine vaccination with Dengvaxia in a range of transmission settings, as characterised by seroprevalence levels among 9-y-olds (SP9). These predictions were conducted for the World Health Organization to inform their recommendations on optimal use of this vaccine.

Methods and Findings

The models adopted, with small variations, a parsimonious vaccine mode of action that was able to reproduce quantitative features of the observed trial data. The adopted mode of action assumed that vaccination, similarly to natural infection, induces transient, heterologous protection and, further, establishes a long-lasting immunogenic memory, which determines disease severity of subsequent infections. The default vaccination policy considered was routine vaccination of 9-y-old children in a three-dose schedule at 80% coverage. The outcomes examined were the impact of vaccination on infections, symptomatic dengue, hospitalised dengue, deaths, and cost-effectiveness over a 30-y postvaccination period. Case definitions were chosen in accordance with the Phase III trials.

All models predicted that in settings with moderate to high dengue endemicity (SP9 ≥ 50%), the default vaccination policy would reduce the burden of dengue disease for the population by 6%–25% (all simulations: –3%–34%) and in high-transmission settings (SP9 ≥ 70%) by 13%–25% (all simulations: 10%– 34%). These endemicity levels are representative of the participating sites in both Phase III trials. In contrast, in settings with low transmission intensity (SP9 ≤ 30%), the models predicted that vaccination could lead to a substantial increase in hospitalisation because of dengue. Modelling reduced vaccine coverage or the addition of catch-up campaigns showed that the impact of vaccination scaled approximately linearly with the number of people vaccinated. In assessing the optimal age of vaccination, we found that targeting older children could increase the net benefit of vaccination in settings with moderate transmission intensity (SP9 = 50%). Overall, vaccination was predicted to be potentially cost-effective in most endemic settings if priced competitively.

The results are based on the assumption that the vaccine acts similarly to natural infection. This assumption is consistent with the available trial results but cannot be directly validated in the absence of additional data. Furthermore, uncertainties remain regarding the level of protection provided against disease versus infection and the rate at which vaccine-induced protection declines.

Conclusions

Dengvaxia has the potential to reduce the burden of dengue disease in areas of moderate to high dengue endemicity. However, the potential risks of vaccination in areas with limited exposure to dengue as well as the local costs and benefits of routine vaccination are important considerations for the inclusion of Dengvaxia into existing immunisation programmes. These results were important inputs into WHO global policy for use of this licensed dengue vaccine.


Url:
DOI: 10.1371/journal.pmed.1002181
PubMed: 27898668
PubMed Central: 5127514


Affiliations:


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</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>University of Florida, Gainesville, Gainesville, Florida</wicri:regionArea>
<placeName>
<region type="state">Floride</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Perkins, T Alex" sort="Perkins, T Alex" uniqKey="Perkins T" first="T. Alex" last="Perkins">T. Alex Perkins</name>
<affiliation wicri:level="2">
<nlm:aff id="aff008">
<addr-line>University of Notre Dame, Notre Dame, Indiana, United States</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>University of Notre Dame, Notre Dame, Indiana</wicri:regionArea>
<placeName>
<region type="state">Indiana</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Cummings, Derek A T" sort="Cummings, Derek A T" uniqKey="Cummings D" first="Derek A. T." last="Cummings">Derek A. T. Cummings</name>
<affiliation wicri:level="2">
<nlm:aff id="aff002">
<addr-line>Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland</wicri:regionArea>
<placeName>
<region type="state">Maryland</region>
</placeName>
</affiliation>
<affiliation wicri:level="2">
<nlm:aff id="aff007">
<addr-line>University of Florida, Gainesville, Gainesville, Florida, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>University of Florida, Gainesville, Gainesville, Florida</wicri:regionArea>
<placeName>
<region type="state">Floride</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Dorigatti, Ilaria" sort="Dorigatti, Ilaria" uniqKey="Dorigatti I" first="Ilaria" last="Dorigatti">Ilaria Dorigatti</name>
<affiliation wicri:level="3">
<nlm:aff id="aff009">
<addr-line>Imperial College London, London, United Kingdom</addr-line>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Imperial College London, London</wicri:regionArea>
<placeName>
<settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Laydon, Daniel J" sort="Laydon, Daniel J" uniqKey="Laydon D" first="Daniel J." last="Laydon">Daniel J. Laydon</name>
<affiliation wicri:level="3">
<nlm:aff id="aff009">
<addr-line>Imperial College London, London, United Kingdom</addr-line>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Imperial College London, London</wicri:regionArea>
<placeName>
<settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Espa A, Guido" sort="Espa A, Guido" uniqKey="Espa A G" first="Guido" last="Espa A">Guido Espa A</name>
<affiliation wicri:level="2">
<nlm:aff id="aff008">
<addr-line>University of Notre Dame, Notre Dame, Indiana, United States</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>University of Notre Dame, Notre Dame, Indiana</wicri:regionArea>
<placeName>
<region type="state">Indiana</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Kelso, Joel" sort="Kelso, Joel" uniqKey="Kelso J" first="Joel" last="Kelso">Joel Kelso</name>
<affiliation wicri:level="1">
<nlm:aff id="aff006">
<addr-line>University of Western Australia, Crawley, Australia</addr-line>
</nlm:aff>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>University of Western Australia, Crawley</wicri:regionArea>
<wicri:noRegion>Crawley</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Longini, Ira" sort="Longini, Ira" uniqKey="Longini I" first="Ira" last="Longini">Ira Longini</name>
<affiliation wicri:level="2">
<nlm:aff id="aff007">
<addr-line>University of Florida, Gainesville, Gainesville, Florida, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>University of Florida, Gainesville, Gainesville, Florida</wicri:regionArea>
<placeName>
<region type="state">Floride</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Lourenco, Jose" sort="Lourenco, Jose" uniqKey="Lourenco J" first="Jose" last="Lourenco">Jose Lourenco</name>
<affiliation wicri:level="4">
<nlm:aff id="aff010">
<addr-line>University of Oxford, Oxford, United Kingdom</addr-line>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>University of Oxford, Oxford</wicri:regionArea>
<placeName>
<settlement type="city">Oxford</settlement>
<region type="country">Angleterre</region>
<region type="comté" nuts="2">Oxfordshire</region>
<settlement type="city">Oxford</settlement>
</placeName>
<orgName type="university">Université d'Oxford</orgName>
</affiliation>
</author>
<author>
<name sortKey="Pearson, Carl A B" sort="Pearson, Carl A B" uniqKey="Pearson C" first="Carl A. B." last="Pearson">Carl A. B. Pearson</name>
<affiliation wicri:level="2">
<nlm:aff id="aff007">
<addr-line>University of Florida, Gainesville, Gainesville, Florida, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>University of Florida, Gainesville, Gainesville, Florida</wicri:regionArea>
<placeName>
<region type="state">Floride</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Reiner, Robert C" sort="Reiner, Robert C" uniqKey="Reiner R" first="Robert C." last="Reiner">Robert C. Reiner</name>
<affiliation wicri:level="2">
<nlm:aff id="aff011">
<addr-line>Indiana University, Bloomington, Indiana, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Indiana University, Bloomington, Indiana</wicri:regionArea>
<placeName>
<region type="state">Indiana</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Mier Y Teran Romero, Luis" sort="Mier Y Teran Romero, Luis" uniqKey="Mier Y Teran Romero L" first="Luis" last="Mier-Y-Terán-Romero">Luis Mier-Y-Terán-Romero</name>
<affiliation wicri:level="2">
<nlm:aff id="aff002">
<addr-line>Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland</wicri:regionArea>
<placeName>
<region type="state">Maryland</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Vannice, Kirsten" sort="Vannice, Kirsten" uniqKey="Vannice K" first="Kirsten" last="Vannice">Kirsten Vannice</name>
<affiliation wicri:level="1">
<nlm:aff id="aff012">
<addr-line>World Health Organization, Geneva, Switzerland</addr-line>
</nlm:aff>
<country xml:lang="fr">Suisse</country>
<wicri:regionArea>World Health Organization, Geneva</wicri:regionArea>
<wicri:noRegion>Geneva</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Ferguson, Neil" sort="Ferguson, Neil" uniqKey="Ferguson N" first="Neil" last="Ferguson">Neil Ferguson</name>
<affiliation wicri:level="3">
<nlm:aff id="aff009">
<addr-line>Imperial College London, London, United Kingdom</addr-line>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Imperial College London, London</wicri:regionArea>
<placeName>
<settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
</placeName>
</affiliation>
</author>
</analytic>
<series>
<title level="j">PLoS Medicine</title>
<idno type="ISSN">1549-1277</idno>
<idno type="eISSN">1549-1676</idno>
<imprint>
<date when="2016">2016</date>
</imprint>
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<keywords scheme="KwdEn" xml:lang="en">
<term>Child</term>
<term>Cost-Benefit Analysis</term>
<term>Dengue Vaccines (adverse effects)</term>
<term>Dengue Vaccines (economics)</term>
<term>Dengue Vaccines (standards)</term>
<term>Humans</term>
<term>Models, Theoretical</term>
<term>Public Health</term>
<term>Safety</term>
<term>Seroepidemiologic Studies</term>
<term>Vaccination (adverse effects)</term>
<term>Vaccination (economics)</term>
<term>Vaccination (methods)</term>
<term>Vaccines, Attenuated (adverse effects)</term>
<term>Vaccines, Attenuated (economics)</term>
<term>Vaccines, Attenuated (standards)</term>
<term>Vaccines, Synthetic (adverse effects)</term>
<term>Vaccines, Synthetic (economics)</term>
<term>Vaccines, Synthetic (standards)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Analyse coût-bénéfice</term>
<term>Enfant</term>
<term>Humains</term>
<term>Modèles théoriques</term>
<term>Santé publique</term>
<term>Sécurité</term>
<term>Vaccination ()</term>
<term>Vaccination (effets indésirables)</term>
<term>Vaccination (économie)</term>
<term>Vaccins atténués (effets indésirables)</term>
<term>Vaccins atténués (normes)</term>
<term>Vaccins atténués (économie)</term>
<term>Vaccins contre la dengue (effets indésirables)</term>
<term>Vaccins contre la dengue (normes)</term>
<term>Vaccins contre la dengue (économie)</term>
<term>Vaccins synthétiques (effets indésirables)</term>
<term>Vaccins synthétiques (normes)</term>
<term>Vaccins synthétiques (économie)</term>
<term>Études séroépidémiologiques</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="adverse effects" xml:lang="en">
<term>Dengue Vaccines</term>
<term>Vaccines, Attenuated</term>
<term>Vaccines, Synthetic</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="economics" xml:lang="en">
<term>Dengue Vaccines</term>
<term>Vaccines, Attenuated</term>
<term>Vaccines, Synthetic</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="standards" xml:lang="en">
<term>Dengue Vaccines</term>
<term>Vaccines, Attenuated</term>
<term>Vaccines, Synthetic</term>
</keywords>
<keywords scheme="MESH" qualifier="adverse effects" xml:lang="en">
<term>Vaccination</term>
</keywords>
<keywords scheme="MESH" qualifier="economics" xml:lang="en">
<term>Vaccination</term>
</keywords>
<keywords scheme="MESH" qualifier="effets indésirables" xml:lang="fr">
<term>Vaccination</term>
<term>Vaccins atténués</term>
<term>Vaccins contre la dengue</term>
<term>Vaccins synthétiques</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en">
<term>Vaccination</term>
</keywords>
<keywords scheme="MESH" qualifier="normes" xml:lang="fr">
<term>Vaccins atténués</term>
<term>Vaccins contre la dengue</term>
<term>Vaccins synthétiques</term>
</keywords>
<keywords scheme="MESH" qualifier="économie" xml:lang="fr">
<term>Vaccination</term>
<term>Vaccins atténués</term>
<term>Vaccins contre la dengue</term>
<term>Vaccins synthétiques</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Child</term>
<term>Cost-Benefit Analysis</term>
<term>Humans</term>
<term>Models, Theoretical</term>
<term>Public Health</term>
<term>Safety</term>
<term>Seroepidemiologic Studies</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Analyse coût-bénéfice</term>
<term>Enfant</term>
<term>Humains</term>
<term>Modèles théoriques</term>
<term>Santé publique</term>
<term>Sécurité</term>
<term>Vaccination</term>
<term>Études séroépidémiologiques</term>
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<front>
<div type="abstract" xml:lang="en">
<sec id="sec001">
<title>Background</title>
<p>Large Phase III trials across Asia and Latin America have recently demonstrated the efficacy of a recombinant, live-attenuated dengue vaccine (Dengvaxia) over the first 25 mo following vaccination. Subsequent data collected in the longer-term follow-up phase, however, have raised concerns about a potential increase in hospitalization risk of subsequent dengue infections, in particular among young, dengue-naïve vaccinees. We here report predictions from eight independent modelling groups on the long-term safety, public health impact, and cost-effectiveness of routine vaccination with Dengvaxia in a range of transmission settings, as characterised by seroprevalence levels among 9-y-olds (SP9). These predictions were conducted for the World Health Organization to inform their recommendations on optimal use of this vaccine.</p>
</sec>
<sec id="sec002">
<title>Methods and Findings</title>
<p>The models adopted, with small variations, a parsimonious vaccine mode of action that was able to reproduce quantitative features of the observed trial data. The adopted mode of action assumed that vaccination, similarly to natural infection, induces transient, heterologous protection and, further, establishes a long-lasting immunogenic memory, which determines disease severity of subsequent infections. The default vaccination policy considered was routine vaccination of 9-y-old children in a three-dose schedule at 80% coverage. The outcomes examined were the impact of vaccination on infections, symptomatic dengue, hospitalised dengue, deaths, and cost-effectiveness over a 30-y postvaccination period. Case definitions were chosen in accordance with the Phase III trials.</p>
<p>All models predicted that in settings with moderate to high dengue endemicity (SP9 ≥ 50%), the default vaccination policy would reduce the burden of dengue disease for the population by 6%–25% (all simulations: –3%–34%) and in high-transmission settings (SP9 ≥ 70%) by 13%–25% (all simulations: 10%– 34%). These endemicity levels are representative of the participating sites in both Phase III trials. In contrast, in settings with low transmission intensity (SP9 ≤ 30%), the models predicted that vaccination could lead to a substantial increase in hospitalisation because of dengue. Modelling reduced vaccine coverage or the addition of catch-up campaigns showed that the impact of vaccination scaled approximately linearly with the number of people vaccinated. In assessing the optimal age of vaccination, we found that targeting older children could increase the net benefit of vaccination in settings with moderate transmission intensity (SP9 = 50%). Overall, vaccination was predicted to be potentially cost-effective in most endemic settings if priced competitively.</p>
<p>The results are based on the assumption that the vaccine acts similarly to natural infection. This assumption is consistent with the available trial results but cannot be directly validated in the absence of additional data. Furthermore, uncertainties remain regarding the level of protection provided against disease versus infection and the rate at which vaccine-induced protection declines.</p>
</sec>
<sec id="sec003">
<title>Conclusions</title>
<p>Dengvaxia has the potential to reduce the burden of dengue disease in areas of moderate to high dengue endemicity. However, the potential risks of vaccination in areas with limited exposure to dengue as well as the local costs and benefits of routine vaccination are important considerations for the inclusion of Dengvaxia into existing immunisation programmes. These results were important inputs into WHO global policy for use of this licensed dengue vaccine.</p>
</sec>
</div>
</front>
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