Half-life Estimation of Pertussis-Specific Maternal Antibodies in (Pre)Term Infants After In-Pregnancy Tetanus, Diphtheria, Acellular Pertussis Vaccination.


Journal

The Journal of infectious diseases
ISSN: 1537-6613
Titre abrégé: J Infect Dis
Pays: United States
ID NLM: 0413675

Informations de publication

Date de publication:
28 Nov 2023
Historique:
received: 11 01 2023
accepted: 06 06 2023
medline: 29 11 2023
pubmed: 7 6 2023
entrez: 7 6 2023
Statut: ppublish

Résumé

To reduce the risk of pertussis-related morbidity and mortality in early life, an increasing number of countries recommend maternal pertussis vaccination. However, there is limited knowledge about half-lives of vaccine-induced pertussis-specific maternal antibodies, especially in preterm infants, and factors potentially influencing them. We compared 2 different approaches to provide estimates of the half-lives of pertussis-specific maternal antibodies in infants and explored potential effects on the half-life in 2 studies. In the first approach, we estimated the half-lives per child and used these estimates as responses in linear models. In the second approach, we used linear mixed effect models on a log2 transformed scale of the longitudinal data to use the inverse of the time parameter as an estimate for the half-lives. Both approaches provided similar results. The identified covariates partly explain differences in half-life estimates. The strongest evidence we observed was a difference between term and preterm infants, with the preterm infants showing a longer half-life. Among others, a longer interval between vaccination and delivery increases the half-life. Several variables influence the decay speed of maternal antibodies. Both approaches have advantages and disadvantages, while the choice is secondary when assessing the half-life of pertussis-specific antibodies. NCT02408926 and NCT02511327.

Sections du résumé

BACKGROUND BACKGROUND
To reduce the risk of pertussis-related morbidity and mortality in early life, an increasing number of countries recommend maternal pertussis vaccination. However, there is limited knowledge about half-lives of vaccine-induced pertussis-specific maternal antibodies, especially in preterm infants, and factors potentially influencing them.
METHODS METHODS
We compared 2 different approaches to provide estimates of the half-lives of pertussis-specific maternal antibodies in infants and explored potential effects on the half-life in 2 studies. In the first approach, we estimated the half-lives per child and used these estimates as responses in linear models. In the second approach, we used linear mixed effect models on a log2 transformed scale of the longitudinal data to use the inverse of the time parameter as an estimate for the half-lives.
RESULTS RESULTS
Both approaches provided similar results. The identified covariates partly explain differences in half-life estimates. The strongest evidence we observed was a difference between term and preterm infants, with the preterm infants showing a longer half-life. Among others, a longer interval between vaccination and delivery increases the half-life.
CONCLUSIONS CONCLUSIONS
Several variables influence the decay speed of maternal antibodies. Both approaches have advantages and disadvantages, while the choice is secondary when assessing the half-life of pertussis-specific antibodies.
CLINICAL TRIALS REGISTRATION BACKGROUND
NCT02408926 and NCT02511327.

Identifiants

pubmed: 37285482
pii: 7191798
doi: 10.1093/infdis/jiad212
pmc: PMC10681861
doi:

Substances chimiques

Antibodies, Bacterial 0
Diphtheria-Tetanus-acellular Pertussis Vaccines 0

Banques de données

ClinicalTrials.gov
['NCT02511327', 'NCT02408926']

Types de publication

Clinical Trial Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1640-1648

Subventions

Organisme : Austrian Science Fund
ID : I 6376-B
Organisme : the Research Foundation-Flanders
ID : G004723N
Organisme : Thrasher Research Fund
ID : EWAT 12348
Organisme : FWO
ID : G064015N
Organisme : Sanofi Pasteur

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

Déclaration de conflit d'intérêts

Potential conflicts of interest. All authors: No reported conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

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Auteurs

Stefan Embacher (S)

Institute for Medical Informatics, Statistics, and Documentation, Medical University of Graz, Graz, Austria.

Kirsten Maertens (K)

Centre for the Evaluation of Vaccination, Vaccine and Infectious Diseases Institute, University of Antwerp, Antwerp, Belgium.

Sereina A Herzog (SA)

Institute for Medical Informatics, Statistics, and Documentation, Medical University of Graz, Graz, Austria.

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Classifications MeSH