Pre-conception clinical risk factors differ between spontaneous and indicated preterm birth in a densely phenotyped EHR cohort
Our study underscores the limitations of approaches that combine indicated and spontaneous births. When combined, significant associations were almost entirely driven by indicated PTBs, although the spontaneous and indicated groups were of a similar size. Investigating the spontaneous population has the potential to reveal new pathways and understanding of the heterogeneity of PTB.
Authors
- Jacquelyn Roger (ORCID: https://orcid.org/0000-0003-1823-0421)
- J Costello (ORCID: https://orcid.org/0000-0002-5959-155X)
- John A. Capra (ORCID: https://orcid.org/0000-0001-9743-1795)
- Tomiko Oskotsky (ORCID: https://orcid.org/0000-0001-7393-5120)
- Ophelia Yin (ORCID: https://orcid.org/0000-0002-1933-2262)
- Alice Tang (ORCID: https://orcid.org/0000-0003-4745-0714)
- Hannah Takasuka (ORCID: https://orcid.org/0000-0002-9697-4189)
- Marina Sirota (ORCID: https://orcid.org/0000-0002-7246-6083)
Institutions
- University of California, San Francisco (US)
- Cancer Research And Biostatistics (US)
- University of California, Berkeley (US)
Publication Details
- Journal
- BMC Pregnancy and Childbirth
- Published
- 2025-02-12
- DOI
- https://doi.org/10.1186/s12884-025-07166-2
- Citations
- 6
- Primary Topic
- Pregnancy and preeclampsia studies
- Type
- article
- Field-Weighted Citation Impact
- 12.34
Funders
- March of Dimes Foundation
- National Institutes of Health
- University of California, San Francisco