Cross-Country Individual Participant Analysis of 4.1 Million Singleton Births in 5 Countries with Very High Human

David M Ferrero1, Jim Larson1, Bo Jacobsson2,3

  • 1Boston Consulting Group, Boston, MA, United States of America.

Plos One
|September 14, 2016
PubMed

Insights

Preterm birth rates vary widely due to unknown factors, not just known risks. More research into biological causes is crucial for effective interventions to reduce infant mortality.

Area of Science:

  • Perinatal epidemiology
  • Reproductive health research
  • Public health policy

Background:

  • Preterm birth is a leading cause of infant mortality, with increasing global rates and limited understanding of risk factors.
  • Significant disparities in preterm birth rates exist among high-income nations, suggesting the need to identify underlying causes for targeted interventions.
  • Current preventive strategies offer only marginal benefits, highlighting the gap in knowledge and effective management.

Purpose of the Study:

  • To investigate the contribution of known risk factors to spontaneous and provider-initiated preterm birth in high-income countries.
  • To quantify the impact of these factors on preterm birth rates and identify reasons for cross-country variations.
  • To assess the potential for interventions based on current understanding and identify areas for future research.

Main Methods:

  • Analysis of individual patient data from 4.1 million singleton pregnancies across four high Human Development Index countries and one US state.
  • Determination of individual and population-attributable preterm birth risks, adjusting for 21 known risk factors and confounding effects.
  • Assessment of the predictive power of known risk factors for preterm birth using Receiver Operating Characteristic (ROC) analysis.

Main Results:

  • Previous preterm birth and preeclampsia are strong individual risk factors, but nulliparity and male sex have the highest population-attributable risk due to prevalence.
  • Over 65% of preterm birth risk lacks a clear biological explanation, and 63% of inter-country differences remain unexplained by known factors.
  • Known risk factors account for less than 35% of the variation in preterm birth rates between countries, with predictive accuracy (AUC < 0.7).

Conclusions:

  • Quantified variations in preterm birth rates among high-income countries, revealing limited impact of current interventions.
  • Highlighted the urgent need for research into the underlying biological mechanisms of preterm birth to develop innovative and effective interventions.
  • Emphasized that unidentified factors significantly influence preterm birth, necessitating further investigation beyond current clinical practice and policy.
Abstract

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