Peri- and Post-natal Risk Factors Associated with Health of Newborns: A pregnant mother's infections and immune diseases, and her baby's delivery method predict immune health of the newborn.

Newborn immunity immune system disbalance risk factors maternal factors affecting child health susceptibility to infections

Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
17 Jan 2023
Historique:
pubmed: 31 1 2023
medline: 31 1 2023
entrez: 30 1 2023
Statut: epublish

Résumé

Designing prophylactic strategies for newborns requires understanding of the factors that contribute to immunity and resistance to infection. We analyzed 1,892,035 mother-newborn pairs in which both the mother and newborn were observed continuously for at least one year before and after birth. As part of this study, we considered maternal exposures to infections and immune disorders during pregnancy, exposures to anti-infection medications by both mother and newborn, as well as the newborn's delivery type and reported complications. According to our analyses, infection rates and immune disorder rates were over-dispersed among newborns. The most consequential factors predicting newborns' immune health were preterm birth, with 276.3% and 193.9% risk increases for newborn bacterial infections. Newborn anti-infective prescriptions were associated with considerable increases in risk of diseases affecting immune health, while maternal prescriptions were associated with fewer outcomes and with mixed signs. The Cesarean section mode of delivery, the mother's age, the sex of the newborn, and the mother's exposure to infections all showed significant but smaller effects on the newborn's immune health. Female newborn appeared to be better protected against diseases with immune system etiology, except for miscellaneous infections.

Identifiants

pubmed: 36711636
doi: 10.1101/2023.01.12.23284503
pmc: PMC9882552
pii:
doi:

Types de publication

Preprint

Langues

eng

Auteurs

Yanan Long (Y)

Department of Chemistry, The University of Chicago, 900 E. 57 Street, Chicago, 60637, IL, USA.
Department of Medicine, The University of Chicago, 900 E. 57 Street, Chicago, 60637, IL, USA.

Atif Khan (A)

Department of Medicine, The University of Chicago, 900 E. 57 Street, Chicago, 60637, IL, USA.

Andrey Rzhetsky (A)

Department of Medicine, The University of Chicago, 900 E. 57 Street, Chicago, 60637, IL, USA.
Department of Human Genetics and Committee on Quantitative Methods in Social, Behavioral, and Health Sciences, The University of Chicago, 900 E. 57 Street, Chicago, 60637, IL, USA.

Classifications MeSH