Impact of genetic, sociodemographic, and clinical features on antidepressant treatment trajectories in the perinatal period.

Affective disorder Antidepressant Discontinuation Epidemiology Genetic liability Perinatal period

Journal

European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology
ISSN: 1873-7862
Titre abrégé: Eur Neuropsychopharmacol
Pays: Netherlands
ID NLM: 9111390

Informations de publication

Date de publication:
03 Feb 2024
Historique:
received: 14 06 2023
revised: 24 01 2024
accepted: 26 01 2024
medline: 5 2 2024
pubmed: 5 2 2024
entrez: 4 2 2024
Statut: aheadofprint

Résumé

Pregnant women on antidepressants must balance potential fetal harm with the relapse risk. While various clinical and sociodemographic factors are known to influence treatment decisions, the impact of genetic factors remains unexplored. We conducted a cohort study among 2,316 women with diagnosed affective disorders who had redeemed antidepressant prescriptions six months before pregnancy, identified from the Danish Integrated Psychiatric Research study. We calculated polygenic risk scores (PGSs) for major depression (MDD), bipolar disorder (BD), and schizophrenia (SCZ) using individual-level genetic data and summary statistics from genome-wide association studies. We retrieved data on sociodemographic and clinical features from national registers. Applying group-based trajectory modeling, we identified four treatment trajectories across pregnancy and postpartum: Continuers (38.2 %), early discontinuers (22.7 %), late discontinuers (23.8 %), and interrupters (15.3 %). All three PGSs were not associated with treatment trajectories; for instance, the relative risk ratio for continuers versus early discontinuers was 0.93 (95 % CI: 0.81-1.06), 0.98 (0.84-1.13), 1.09 (0.95-1.27) for per 1-SD increase in PGS for MDD, BD, and SCZ, respectively. Sociodemographic factors were generally not associated with treatment trajectories, except for the association between primiparity and continuing antidepressant use. Women who received ≥2 classes or a higher dose of antidepressants had a higher probability of being late discontinuers, interrupters, and continuers. The likelihood of continuing antidepressants or restarting antidepressants postpartum increased with the previous antidepressant treatment duration. Our findings indicate that continued antidepressant use during pregnancy is influenced by the severity of the disease rather than genetic predisposition as measured by PGSs.

Identifiants

pubmed: 38310717
pii: S0924-977X(24)00030-0
doi: 10.1016/j.euroneuro.2024.01.010
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

20-27

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest All authors declare no conflict of interest related to this submission.

Auteurs

Xiaoqin Liu (X)

NCRR-The National Centre for Register-based Research, Aarhus University, Denmark; CIRRAU-Centre for Integrated Register-base Research, Aarhus University, Denmark; iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark. Electronic address: lxq.ncrr@au.dk.

Nhung Th Trinh (NT)

PharmacoEpidemiology and Drug Safety Research Group, Department of Pharmacy, University of Oslo, Norway.

Naomi R Wray (NR)

Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia; Queensland Brain Institute, The University of Queensland, Brisbane, Australia.

Angela Lupattelli (A)

PharmacoEpidemiology and Drug Safety Research Group, Department of Pharmacy, University of Oslo, Norway.

Clara Albiñana (C)

NCRR-The National Centre for Register-based Research, Aarhus University, Denmark; CIRRAU-Centre for Integrated Register-base Research, Aarhus University, Denmark; iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia; Queensland Brain Institute, The University of Queensland, Brisbane, Australia.

Esben Agerbo (E)

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

Bjarni J Vilhjálmsson (BJ)

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

Veerle Bergink (V)

Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA; Department of Psychiatry, Erasmus Medical Center, Rotterdam, the Netherlands.

Trine Munk-Olsen (T)

NCRR-The National Centre for Register-based Research, Aarhus University, Denmark; CIRRAU-Centre for Integrated Register-base Research, Aarhus University, Denmark; iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark; Department of Clinical Research, University of Southern Denmark, Denmark.

Classifications MeSH