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The time-course of protection of the RTS,S vaccine against malaria infections and clinical disease

BACKGROUND: Recent publications have reported follow-up of the RTS,S/AS01 malaria vaccine candidate Phase III trials at 11 African sites for 32 months (or longer). This includes site- and time-specific estimates of incidence and efficacy against clinical disease with four different vaccination sched...

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Autores principales: Penny, Melissa A., Pemberton-Ross, Peter, Smith, Thomas A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634589/
https://www.ncbi.nlm.nih.gov/pubmed/26537608
http://dx.doi.org/10.1186/s12936-015-0969-8
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author Penny, Melissa A.
Pemberton-Ross, Peter
Smith, Thomas A.
author_facet Penny, Melissa A.
Pemberton-Ross, Peter
Smith, Thomas A.
author_sort Penny, Melissa A.
collection PubMed
description BACKGROUND: Recent publications have reported follow-up of the RTS,S/AS01 malaria vaccine candidate Phase III trials at 11 African sites for 32 months (or longer). This includes site- and time-specific estimates of incidence and efficacy against clinical disease with four different vaccination schedules. These data allow estimation of the time-course of protection against infection associated with two different ages of vaccination, both with and without a booster dose. METHODS: Using an ensemble of individual-based stochastic models, each trial cohort in the Phase III trial was simulated assuming many different hypothetical profiles for the vaccine efficacy against infection in time, for both the primary course and boosting dose and including the potential for either exponential or non-exponential decay. The underlying profile of protection was determined by Bayesian fitting of these model predictions to the site- and time-specific incidence of clinical malaria over 32 months (or longer) of follow-up. Using the same stochastic models, projections of clinical efficacy in each of the sites were modelled and compared to available observed trial data. RESULTS: The initial protection of RTS,S immediately following three doses is estimated as providing an efficacy against infection of 65 % (when immunizing infants aged 6–12 weeks old) and 91 % (immunizing children aged 5–17 months old at first vaccination). This protection decays relatively rapidly, with an approximately exponential decay for the 6–12 weeks old cohort (with a half-life of 7.2 months); for the 5–17 months old cohort a biphasic decay with a similar half-life is predicted, with an initial rapid decay followed by a slower decay. The boosting dose was estimated to return protection to an efficacy against infection of 50–55 % for both cohorts. Estimates of clinical efficacy by trial site are consistent with those reported in the trial for all cohorts. CONCLUSIONS: The site- and time-specific clinical observations from the RTS,S/AS01 trial data allowed a reasonably precise estimation of the underlying vaccine protection against infection which is consistent with common underlying efficacy and decay rates across the trial sites. This calibration suggests that the decay in efficacy against clinical disease is more rapid than that against infection because of age-shifts in the incidence of disease. The dynamical models predict that clinical effectiveness will continue to decay and that likely effects beyond the time-scale of the trial will be small. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-015-0969-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-46345892015-11-06 The time-course of protection of the RTS,S vaccine against malaria infections and clinical disease Penny, Melissa A. Pemberton-Ross, Peter Smith, Thomas A. Malar J Research BACKGROUND: Recent publications have reported follow-up of the RTS,S/AS01 malaria vaccine candidate Phase III trials at 11 African sites for 32 months (or longer). This includes site- and time-specific estimates of incidence and efficacy against clinical disease with four different vaccination schedules. These data allow estimation of the time-course of protection against infection associated with two different ages of vaccination, both with and without a booster dose. METHODS: Using an ensemble of individual-based stochastic models, each trial cohort in the Phase III trial was simulated assuming many different hypothetical profiles for the vaccine efficacy against infection in time, for both the primary course and boosting dose and including the potential for either exponential or non-exponential decay. The underlying profile of protection was determined by Bayesian fitting of these model predictions to the site- and time-specific incidence of clinical malaria over 32 months (or longer) of follow-up. Using the same stochastic models, projections of clinical efficacy in each of the sites were modelled and compared to available observed trial data. RESULTS: The initial protection of RTS,S immediately following three doses is estimated as providing an efficacy against infection of 65 % (when immunizing infants aged 6–12 weeks old) and 91 % (immunizing children aged 5–17 months old at first vaccination). This protection decays relatively rapidly, with an approximately exponential decay for the 6–12 weeks old cohort (with a half-life of 7.2 months); for the 5–17 months old cohort a biphasic decay with a similar half-life is predicted, with an initial rapid decay followed by a slower decay. The boosting dose was estimated to return protection to an efficacy against infection of 50–55 % for both cohorts. Estimates of clinical efficacy by trial site are consistent with those reported in the trial for all cohorts. CONCLUSIONS: The site- and time-specific clinical observations from the RTS,S/AS01 trial data allowed a reasonably precise estimation of the underlying vaccine protection against infection which is consistent with common underlying efficacy and decay rates across the trial sites. This calibration suggests that the decay in efficacy against clinical disease is more rapid than that against infection because of age-shifts in the incidence of disease. The dynamical models predict that clinical effectiveness will continue to decay and that likely effects beyond the time-scale of the trial will be small. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-015-0969-8) contains supplementary material, which is available to authorized users. BioMed Central 2015-11-04 /pmc/articles/PMC4634589/ /pubmed/26537608 http://dx.doi.org/10.1186/s12936-015-0969-8 Text en © Penny et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Penny, Melissa A.
Pemberton-Ross, Peter
Smith, Thomas A.
The time-course of protection of the RTS,S vaccine against malaria infections and clinical disease
title The time-course of protection of the RTS,S vaccine against malaria infections and clinical disease
title_full The time-course of protection of the RTS,S vaccine against malaria infections and clinical disease
title_fullStr The time-course of protection of the RTS,S vaccine against malaria infections and clinical disease
title_full_unstemmed The time-course of protection of the RTS,S vaccine against malaria infections and clinical disease
title_short The time-course of protection of the RTS,S vaccine against malaria infections and clinical disease
title_sort time-course of protection of the rts,s vaccine against malaria infections and clinical disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634589/
https://www.ncbi.nlm.nih.gov/pubmed/26537608
http://dx.doi.org/10.1186/s12936-015-0969-8
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