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Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
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.
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.
Background:
Preterm birth is the most common single cause of perinatal and infant mortality, affecting 15 million infants worldwide each year with global rates increasing. Understanding of risk factors remains poor, and preventive interventions have only limited benefit. Large differences exist in preterm birth rates across high income countries. We hypothesized that understanding the basis for these wide variations could lead to interventions that reduce preterm birth incidence in countries with high rates. We thus sought to assess the contributions of known risk factors for both spontaneous and provider-initiated preterm birth in selected high income countries, estimating also the potential impact of successful interventions due to advances in research, policy and public health, or clinical practice.
Methods:
We analyzed individual patient-level data on 4.1 million singleton pregnancies from four countries with very high human development index (Czech Republic, New Zealand, Slovenia, Sweden) and one comparator U.S. state (California) to determine the specific contribution (adjusting for confounding effects) of 21 factors. Both individual and population-attributable preterm birth risks were determined, as were contributors to cross-country differences. We also assessed the ability to predict preterm birth given various sets of known risk factors.
Findings:
Previous preterm birth and preeclampsia were the strongest individual risk factors of preterm birth in all datasets, with odds ratios of 4.6-6.0 and 2.8-5.7, respectively, for individual women having those characteristics. In contrast, on a population basis, nulliparity and male sex were the two risk factors with the highest impact on preterm birth rates, accounting for 25-50% and 11-16% of excess population attributable risk, respectively (p<0.001). The importance of nulliparity and male sex on population attributable risk was driven by high prevalence despite low odds ratios for individual women. More than 65% of the total aggregated risk of preterm birth within each country lacks a plausible biologic explanation, and 63% of difference between countries cannot be explained with known factors; thus, research is necessary to elucidate the underlying mechanisms of preterm birth and, hence, therapeutic intervention. Surprisingly, variation in prevalence of known risk factors accounted for less than 35% of the difference in preterm birth rates between countries. Known risk factors had an area under the curve of less than 0.7 in ROC analysis of preterm birth prediction within countries. These data suggest that other influences, as yet unidentified, are involved in preterm birth. Further research into biological mechanisms is warranted.
Conclusions:
We have quantified the causes of variation in preterm birth rates among countries with very high human development index. The paucity of explicit and currently identified factors amenable to intervention illustrates the limited impact of changes possible through current clinical practice and policy interventions. Our research highlights the urgent need for research into underlying biological causes of preterm birth, which alone are likely to lead to innovative and efficacious interventions.
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