Prenatal antidepressant exposure and the risk of decreased gestational age and lower birthweight: A polygenic score approach to investigate confounding by indication.

antidepressants low birthweight neonatal outcomes perinatal depression preterm birth

Journal

Acta psychiatrica Scandinavica
ISSN: 1600-0447
Titre abrégé: Acta Psychiatr Scand
Pays: United States
ID NLM: 0370364

Informations de publication

Date de publication:
21 Nov 2023
Historique:
revised: 13 10 2023
received: 03 05 2023
accepted: 11 11 2023
medline: 22 11 2023
pubmed: 22 11 2023
entrez: 22 11 2023
Statut: aheadofprint

Résumé

Prenatal antidepressant exposure has been associated with lower gestational age and birthweight. Yet, unmeasured residual confounding may inflate this association. We explored if maternal genetic liability for major depression explains part of the association of antidepressant use in pregnancy with lower gestational age and birthweight. We employed the maternal polygenic score (PGS) for major depression as a measure of genetic liability. We used generalised linear models to estimate the differences in gestational age and birthweight at each PGS quintile between children whose mothers continued antidepressant use during pregnancy (continuation group), children whose mothers discontinued antidepressant use during pregnancy (discontinuation group) and unexposed children. After adjusting for confounders, we found significant differences in birthweight between PGS quintiles in the continuation and unexposed group. Yet, this relationship was not linear. Furthermore, at the lowest and highest PGS quintiles, the continuation group had significantly reduced mean gestational ages (adjusted β ranges: 1.7-4.5 days, p < 0.001-0.008) and lower mean birthweights (adjusted β ranges: 58.6-165.4 g, p = 0.001-0.008) than the discontinuation and unexposed groups. We confirmed that antidepressant use in pregnancy was associated with small reductions in gestational age and birthweight but found that genetic liability for depression was not linearly associated with this risk. The causality of the observed associations could not be established due to the observational nature of the study. Residual confounding linked to the underlying disease was likely still present.

Identifiants

pubmed: 37990478
doi: 10.1111/acps.13636
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIMH NIH HHS
ID : R01MH122869
Pays : United States

Informations de copyright

© 2023 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

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Auteurs

Anna-Sophie Rommel (AS)

Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA.

Birgitte Dige Semark (BD)

NCRR-The National Centre for Register-based Research, Aarhus University, Aarhus, Denmark.

Xiaoqin Liu (X)

NCRR-The National Centre for Register-based Research, Aarhus University, Aarhus, Denmark.

Kathrine Bang Madsen (KB)

NCRR-The National Centre for Register-based Research, Aarhus University, Aarhus, Denmark.

Esben Agerbo (E)

NCRR-The National Centre for Register-based Research, Aarhus University, Aarhus, Denmark.
CIRRAU-Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark.
iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark.

Trine Munk-Olsen (T)

NCRR-The National Centre for Register-based Research, Aarhus University, Aarhus, Denmark.
Department of Clinical Research, University of Southern Denmark, Odense, Denmark.

Liselotte Vogdrup Petersen (LV)

NCRR-The National Centre for Register-based Research, Aarhus University, Aarhus, Denmark.
iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark.

Veerle Bergink (V)

Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA.
Department of Psychiatry, Erasmus Medical Centre Rotterdam, Rotterdam, The Netherlands.
Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Classifications MeSH