Pre-conception clinical risk factors differ between spontaneous and indicated preterm birth in a densely phenotyped

Jean M Costello1,2, Hannah Takasuka3, Jacquelyn Roger4

  • 1Bakar Computational Health Sciences Institute, UCSF, San Francisco, USA.

PubMed

Insights

Maternal diagnoses strongly predict indicated preterm birth (PTB), but not spontaneous PTB. Combining PTB types obscures important risk factors, highlighting the need to study spontaneous PTB separately for new insights.

Area of Science:

  • Reproductive Health
  • Perinatal Medicine
  • Public Health

Background:

  • Preterm birth (PTB) is a leading cause of infant mortality with complex, often unknown, causes.
  • Existing research is limited by data gaps and difficulty classifying PTB as indicated or spontaneous.
  • Electronic health records (EHR) and curated pregnancy data offer new avenues for PTB research.

Purpose of the Study:

  • To investigate associations between maternal pre-conception diagnoses and preterm birth.
  • To differentiate risk factors for indicated versus spontaneous preterm birth.
  • To leverage EHR data for novel insights into PTB pathophysiology.

Main Methods:

  • Quantified associations between maternal diagnoses (ICD 9/10 codes) and PTB in a UCSF EHR cohort (10,643 births).
  • Controlled for maternal age and socioeconomic factors.
  • Analyzed indicated and spontaneous PTB separately.

Main Results:

  • Thirty diagnoses significantly associated with indicated PTB (FDR < 0.05), including hypertension, diabetes, and kidney disease.
  • Essential hypertension showed the strongest association with indicated PTB (aOR = 6).
  • No maternal diagnoses significantly associated with spontaneous PTB.

Conclusions:

  • Combining indicated and spontaneous PTB in analyses masks significant associations driven by indicated births.
  • Separate investigation of spontaneous PTB is crucial for understanding its unique pathways.
  • This approach can identify at-risk individuals and advance PTB knowledge.
Abstract

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