Invited commentary: disaggregating preterm birth to determine etiology.

Area of Science:

• Obstetrics and Gynecology
• Epidemiology
• Perinatal Research

Background:

• Preterm birth etiology is complex due to heterogeneous pathways.
• Aggregate studies may dilute the association of risk factors affecting specific subsets.
• Previous research suggests distinct etiological pathways for preterm birth.

Discussion:

• This study proposes that analyzing preterm birth by etiological subsets (intrauterine inflammation vs. abnormal placentation) can overcome the dilution of association measures seen in aggregate analyses.
• Factor analysis supported the division of very early preterm birth cases into these two distinct groups.
• The approach aims to identify more robust associations between risk factors and specific preterm birth pathways.

Key Insights:

• Empirical evidence supports classifying preterm birth into intrauterine inflammation and abnormal placentation groups.
• Subgroup analysis of preterm birth cases may yield stronger and more consistent associations with risk factors.
• This classification method holds potential for refining our understanding of preterm birth etiology.

Outlook:

• Further validation is needed to replicate this classification in less extreme preterm births, requiring detailed data from large cohorts.
• The proposed etiological division warrants investigation using existing datasets to confirm enhanced association detection.
• Successful application of this approach could lead to more targeted interventions and improved prevention strategies for preterm birth.