Comparison of performance of varicella vaccines via infectious disease modeling.


Journal

Vaccine
ISSN: 1873-2518
Titre abrégé: Vaccine
Pays: Netherlands
ID NLM: 8406899

Informations de publication

Date de publication:
23 06 2022
Historique:
received: 06 08 2021
revised: 06 04 2022
accepted: 03 05 2022
pubmed: 7 6 2022
medline: 22 6 2022
entrez: 6 6 2022
Statut: ppublish

Résumé

Population-level infectious disease models for varicella require vaccine parameters, namely 'take' and 'duration of protection' (defined here as vaccine performance), to quantify the impact of vaccination. Current published models for varicella use vaccine parameters derived from various methodologies which does not allow for the direct comparison of different vaccines. We estimated take and duration of protection using deterministic compartmental models to simulate clinical trials of one- or two-dose varicella vaccination using Varivax® (V-MSD) and Varilrix® (V-GSK). We fit different models to clinical trial data on breakthrough infections and evaluated their respective goodness-of-fit using the Akaike Information Criterion (AIC). Based upon the clinical trial data, we estimated that 90.3% (95% CI: 87.8-92.9%) of the cohort gained permanent protection from breakthrough varicella after the first dose of V-MSD compared to 61.7% (95% CI: 58.2-65.3%) with the first dose of V-GSK. We further estimated that a total of 97.0% (95% CI: 95.2-98.8%) and 93.8% (95% CI: 92.2-95.4%) of the cohort were permanently protected after two-doses of V-MSD and V-GSK, respectively. According to the AIC, our new model (V-MSD AIC = 92.7; V-GSK AIC = 170.3) provided a better fit than an existing model (V-MSD AIC = 108.9; V-GSK AIC = 216.1). The model developed fits the long-term clinical trial data on breakthrough infections for both V-MSD and V-GSK, thus, allowing for the direct comparison of vaccine performance. We estimated that a single dose of V-MSD was more likely to provide permanent protection than a single dose of V-GSK, while the protection offered by two doses was similar for both vaccines.

Sections du résumé

BACKGROUND
Population-level infectious disease models for varicella require vaccine parameters, namely 'take' and 'duration of protection' (defined here as vaccine performance), to quantify the impact of vaccination. Current published models for varicella use vaccine parameters derived from various methodologies which does not allow for the direct comparison of different vaccines.
METHODS
We estimated take and duration of protection using deterministic compartmental models to simulate clinical trials of one- or two-dose varicella vaccination using Varivax® (V-MSD) and Varilrix® (V-GSK). We fit different models to clinical trial data on breakthrough infections and evaluated their respective goodness-of-fit using the Akaike Information Criterion (AIC).
RESULTS
Based upon the clinical trial data, we estimated that 90.3% (95% CI: 87.8-92.9%) of the cohort gained permanent protection from breakthrough varicella after the first dose of V-MSD compared to 61.7% (95% CI: 58.2-65.3%) with the first dose of V-GSK. We further estimated that a total of 97.0% (95% CI: 95.2-98.8%) and 93.8% (95% CI: 92.2-95.4%) of the cohort were permanently protected after two-doses of V-MSD and V-GSK, respectively. According to the AIC, our new model (V-MSD AIC = 92.7; V-GSK AIC = 170.3) provided a better fit than an existing model (V-MSD AIC = 108.9; V-GSK AIC = 216.1).
CONCLUSIONS
The model developed fits the long-term clinical trial data on breakthrough infections for both V-MSD and V-GSK, thus, allowing for the direct comparison of vaccine performance. We estimated that a single dose of V-MSD was more likely to provide permanent protection than a single dose of V-GSK, while the protection offered by two doses was similar for both vaccines.

Identifiants

pubmed: 35660037
pii: S0264-410X(22)00574-6
doi: 10.1016/j.vaccine.2022.05.003
pii:
doi:

Substances chimiques

Antigens, Viral 0
Chickenpox Vaccine 0
Vaccines, Attenuated 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3954-3962

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: This study was funded Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA. M. Pillsbury, M. Pawaskar, SS and CC are employees of Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA and own stock in Merck & Co., Inc., Kenilworth, NJ, USA. Dr. Greenberg is employee of Ben-Gurion University of the Negev, Israel and serves as consultant for Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA.

Auteurs

Matthew Pillsbury (M)

Center for Observational and Real-World Evidence (CORE), Merck & Co., Inc., Kenilworth, NJ, USA.

Cristina Carias (C)

Center for Observational and Real-World Evidence (CORE), Merck & Co., Inc., Kenilworth, NJ, USA.

Salome Samant (S)

Center for Observational and Real-World Evidence (CORE), Merck & Co., Inc., Kenilworth, NJ, USA.

David Greenberg (D)

Ben Gurion University. Division of Pediatrics, Beer-Sheva, Israel.

Manjiri Pawaskar (M)

Center for Observational and Real-World Evidence (CORE), Merck & Co., Inc., Kenilworth, NJ, USA. Electronic address: manjiri.pawaskar@merck.com.

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Classifications MeSH