A prospective study of preconception asthma and spontaneous abortion.


Journal

Annals of epidemiology
ISSN: 1873-2585
Titre abrégé: Ann Epidemiol
Pays: United States
ID NLM: 9100013

Informations de publication

Date de publication:
05 2022
Historique:
received: 12 09 2021
revised: 04 02 2022
accepted: 22 02 2022
pubmed: 3 3 2022
medline: 11 5 2022
entrez: 2 3 2022
Statut: ppublish

Résumé

To evaluate the relationships among history of asthma, asthma severity, and spontaneous abortion (SAB). Pregnancy Study Online is a preconception cohort study of North American couples. During the preconception period, female participants reported their history of physician-diagnosed asthma, age at first diagnosis, and use of asthma medications in the previous 4 weeks. Asthma severity was classified by medication use proximal to conception, from level 0 to 3 in increasing severity. Pregnancy and SAB were identified using data from follow-up questionnaires. We estimated hazard ratios (HRs) and 95% confidence intervals (CIs). Among 6325 participants who conceived, 19% experienced SAB and 17% reported a history of asthma. There was no appreciable association between asthma history and SAB incidence (HR = 0.98; 95% CI: 0.84, 1.14). HRs comparing severity levels 0, 1, and 2-3 with no asthma were 0.82 (95% CI: 0.67, 1.01), 1.20 (95% CI: 0.91, 1.60), and 1.31 (95% CI: 0.97, 1.78), respectively. Among women who conceived without the use of fertility treatment, level 2-3 severity was associated with SAB (HR = 1.39; 95% CI: 1.02, 1.89). While history of asthma diagnosis was not materially associated with SAB, having severe asthma (based on medication use) was associated with greater SAB risk.

Identifiants

pubmed: 35235814
pii: S1047-2797(22)00024-2
doi: 10.1016/j.annepidem.2022.02.006
pmc: PMC9081168
mid: NIHMS1786419
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

27-33

Subventions

Organisme : NICHD NIH HHS
ID : R01 HD086742
Pays : United States

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

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Auteurs

Jennifer J Yland (JJ)

Department of Epidemiology, Boston University School of Public Health, Boston, MA. Electronic address: yland@bu.edu.

Holly M Crowe (HM)

Department of Epidemiology, Boston University School of Public Health, Boston, MA.

Elizabeth E Hatch (EE)

Department of Epidemiology, Boston University School of Public Health, Boston, MA.

Sydney K Willis (SK)

Department of Epidemiology, Boston University School of Public Health, Boston, MA.

Tanran R Wang (TR)

Department of Epidemiology, Boston University School of Public Health, Boston, MA.

Ellen M Mikkelsen (EM)

Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark.

David A Savitz (DA)

Department of Epidemiology, Brown University School of Public Health, Providence, RI.

Allan J Walkey (AJ)

Boston University School of Medicine, Boston, MA.

Kenneth J Rothman (KJ)

Department of Epidemiology, Boston University School of Public Health, Boston, MA; RTI Health Solutions, Research Triangle Park, NC.

Lauren A Wise (LA)

Department of Epidemiology, Boston University School of Public Health, Boston, MA.

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Classifications MeSH