Prenatal medication use in a prospective pregnancy cohort by pre-pregnancy obesity status.


Journal

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
ISSN: 1476-4954
Titre abrégé: J Matern Fetal Neonatal Med
Pays: England
ID NLM: 101136916

Informations de publication

Date de publication:
Dec 2022
Historique:
pubmed: 13 3 2021
medline: 24 11 2022
entrez: 12 3 2021
Statut: ppublish

Résumé

The association between obesity (body mass index (BMI) ≥ 30 kg/m To determine whether prenatal medication use, by the number and types of medications, varies by pre-pregnancy obesity status. In a secondary data analysis of a racially/ethnically diverse prospective cohort of pregnant women with low risk for fetal abnormalities enrolled in the first trimester of pregnancy and followed to delivery (singleton, 12 United States clinical sites), free text medication data were obtained at enrollment and up to five follow-up visits and abstracted from medical records at delivery. In 436 women with obesity and 1750 women without obesity (pre-pregnancy BMI, 19-29.9 kg/m Our findings suggest that pre-pregnancy obesity in otherwise healthy women is associated with a higher use of only selected medications (such as diabetes medications and progesterone) during pregnancy, while the intake of other more common medication types such as analgesics, antibiotics, and antacids does not vary by pre-pregnancy obesity status. As medication safety information for prenatal consumption is insufficient for many medications, these findings highlight the need for a more in-depth examination of factors associated with prenatal medication use.

Sections du résumé

BACKGROUND UNASSIGNED
The association between obesity (body mass index (BMI) ≥ 30 kg/m
OBJECTIVES UNASSIGNED
To determine whether prenatal medication use, by the number and types of medications, varies by pre-pregnancy obesity status.
METHODS UNASSIGNED
In a secondary data analysis of a racially/ethnically diverse prospective cohort of pregnant women with low risk for fetal abnormalities enrolled in the first trimester of pregnancy and followed to delivery (singleton, 12 United States clinical sites), free text medication data were obtained at enrollment and up to five follow-up visits and abstracted from medical records at delivery.
RESULTS UNASSIGNED
In 436 women with obesity and 1750 women without obesity (pre-pregnancy BMI, 19-29.9 kg/m
CONCLUSION UNASSIGNED
Our findings suggest that pre-pregnancy obesity in otherwise healthy women is associated with a higher use of only selected medications (such as diabetes medications and progesterone) during pregnancy, while the intake of other more common medication types such as analgesics, antibiotics, and antacids does not vary by pre-pregnancy obesity status. As medication safety information for prenatal consumption is insufficient for many medications, these findings highlight the need for a more in-depth examination of factors associated with prenatal medication use.

Identifiants

pubmed: 33706661
doi: 10.1080/14767058.2021.1893296
pmc: PMC8802334
mid: NIHMS1760511
doi:

Substances chimiques

Progesterone 4G7DS2Q64Y

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5799-5806

Subventions

Organisme : NICHD NIH HHS
ID : HHSN275201000009C
Pays : United States
Organisme : NICHD NIH HHS
ID : HHSN275200800014C
Pays : United States
Organisme : NICHD NIH HHS
ID : HHSN275200800028C
Pays : United States
Organisme : Intramural NIH HHS
ID : Z99 HD999999
Pays : United States
Organisme : NICHD NIH HHS
ID : HHSN275200800013C
Pays : United States
Organisme : NICHD NIH HHS
ID : HHSN275200800012C
Pays : United States

Auteurs

Yassaman Vafai (Y)

Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.

Edwina H Yeung (EH)

Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.

Rajeshwari Sundaram (R)

Biostatistics and Bioinformatics Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.

Melissa M Smarr (MM)

Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

Nicole Gerlanc (N)

The Prospective Group, Arlington, VA, USA.

William A Grobman (WA)

Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

Daniel Skupski (D)

New York Presbyterian Queens, Flushing, NY, USA.

Edward K Chien (EK)

Women and Infants Hospital of Rhode Island, Providence, RI, USA.
Cleveland Clinic, Case Western Reserve University, Cleveland, OH, USA.

Stefanie N Hinkle (SN)

Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.

Roger B Newman (RB)

Department of Obstetrics and Gynecology, Medical University of South Carolina, Charleston, SC, USA.

Deborah A Wing (DA)

School of Medicine, University of California, Irvine, CA, USA.
Fountain Valley Regional Hospital and Medical Center, Fountain Valley, CA, USA.

Angela C Ranzini (AC)

Cleveland Clinic, Case Western Reserve University, Cleveland, OH, USA.
Saint Peter's University Hospital, New Brunswick, NJ, USA.

Anthony Sciscione (A)

Christiana Care Health System, Wilmington, DE, USA.

Jagteshwar Grewal (J)

Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.

Cuilin Zhang (C)

Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.

Katherine L Grantz (KL)

Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.

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Classifications MeSH