Accelerating adverse pregnancy outcomes research amidst rising medication use: parallel retrospective cohort analyses for signal prioritization
Most pregnant women are prescribed medication during pregnancy. This highlights the need to utilize existing real-world data to enhance our knowledge of the safety of medications in pregnancy. We narrowed down from 1329 to 58 medications that showed statistically significant association with the risk of preterm birth even after addressing numerous covariates through propensity score matching. This data-driven approach demonstrated that multiple testable hypotheses in pregnancy pharmacology can be prioritized at scale and lays the foundation for application in other pregnancy outcomes.
Authors
- Samantha N. Piekos (ORCID: https://orcid.org/0000-0002-8119-6724)
- Nathan D. Price (ORCID: https://orcid.org/0000-0002-4157-0267)
- Alison G. Paquette (ORCID: https://orcid.org/0000-0002-6065-9398)
- Qi Wei (ORCID: https://orcid.org/0000-0002-1481-2304)
- Jennifer Hadlock (ORCID: https://orcid.org/0000-0001-6103-7606)
- Yeon Mi Hwang (ORCID: https://orcid.org/0000-0002-4193-8623)
- Leroy Hood (ORCID: https://orcid.org/0000-0001-7158-3678)
Institutions
- Seattle Children's Hospital (US)
- Buck Institute for Research on Aging (US)
- University of Washington (US)
- Institute for Systems Biology (US)
- Hamilton Thorne (United States) (US)
- ProNAi Therapeutics (United States) (US)
- Stanford University (US)
Publication Details
- Journal
- BMC Medicine
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1186/s12916-024-03717-0
- Citations
- 2
- Primary Topic
- Pregnancy and Medication Impact
- Type
- article
- Field-Weighted Citation Impact
- 1.09
Funders
- National Institute of Child Health and Human Development
- Eunice Kennedy Shriver National Institute of Child Health and Human Development