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Published on: November 20, 2015
The distribution of clinical phenotypes of preterm birth syndrome: implications for prevention
Fernando C Barros1, Aris T Papageorghiou2, Cesar G Victora3
1Programa de Pós-Graduação em Saúde e Comportamento, Universidade Católica de Pelotas, Pelotas, Rio Grande do Sul, Brazil2Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brazil.
Insights
Researchers identified 12 preterm birth phenotypes, revealing that 22% of preterm births occur spontaneously without identifiable causes. This advances understanding of preterm delivery syndrome and guides future research.
Area of Science:
- Obstetrics and Gynecology
- Neonatal Research
- Public Health
Background:
- Preterm birth is a complex syndrome, making it challenging to study and prevent.
- Understanding the diverse causes and presentations of preterm birth is crucial for effective intervention.
Purpose of the Study:
- To identify distinct phenotypes of preterm delivery syndrome within the INTERGROWTH-21st Project.
- To analyze the clinical characteristics and outcomes associated with each identified preterm birth phenotype.
Main Methods:
- A population-based, multiethnic, cross-sectional study involving over 60,000 births across 8 global sites.
- Standardized data collection, clinical examinations, and follow-up until hospital discharge for newborns.
- Clustering of preterm phenotypes and analysis of admission rates, neonatal intensive care unit (NICU) admissions, and mortality.
Main Results:
- Twelve distinct preterm birth phenotypes were identified.
- The most common cluster (30%) lacked clinically detectable severe maternal, fetal, or placental conditions, with many cases initiated by caregivers.
- Only 22% of preterm births occurred spontaneously without severe associated conditions; significant differences in neonatal outcomes were observed across phenotypes.
Conclusions:
- Identified 12 preterm birth phenotypes with varying neonatal outcomes.
- A significant proportion of preterm births (22%) lack identifiable underlying conditions, suggesting spontaneous onset.
- These findings provide an empirical basis for more focused research on homogenous preterm birth phenotypes to improve understanding and prevention.
Importance:
Preterm birth has been difficult to study and prevent because of its complex syndromic nature.
Objective:
To identify phenotypes of preterm delivery syndrome in the Newborn Cross-Sectional Study of the INTERGROWTH-21st Project.
Design, Setting, And Participants:
A population-based, multiethnic, cross-sectional study conducted at 8 geographically demarcated sites in Brazil, China, India, Italy, Kenya, Oman, the United Kingdom, and the United States. A total of 60,058 births over a 12-month fixed period between April 27, 2009, and March 2, 2014. Of these, 53,871 had an ultrasonography estimate of gestational age, among which 5828 were preterm births (10.8%). Pregnancies were prospectively studied using a standardized data collection and online data management system. Newborns had anthropometric and clinical examinations using standardized methods and identical equipment and were followed up until hospital discharge.
Main Outcomes And Measures:
The main study outcomes were clusters of preterm phenotypes and for each cluster, we analyzed signs of presentation at hospital admission, admission rates for neonatal intensive care for 7 days or more, and neonatal mortality rates.
Results:
Twelve preterm birth clusters were identified using our conceptual framework. Eleven consisted of combinations of conditions known to be associated with preterm birth, 10 of which were dominated by a single condition. However, the most common single cluster (30.0% of the total preterm cases; n = 1747) was not associated with any severe maternal, fetal, or placental condition that was clinically detectable based on the information available; within this cluster, many cases were caregiver initiated. Only 22% (n = 1284) of all the preterm births occurred spontaneously without any of these severe conditions. Maternal presentation on hospital admission, newborn anthropometry, and risk for death before hospital discharge or admission for 7 or more days to a neonatal intensive care unit, none of which were used to construct the clusters, also differed according to the identified phenotypes. The prevalence of preterm birth ranged from 8.2% in Muscat, Oman, and Oxford, England, to 16.6% in Seattle, Washington.
Conclusions And Relevance:
We identified 12 preterm birth phenotypes associated with different patterns of neonatal outcomes. In 22% of all preterm births, parturition started spontaneously and was not associated with any of the phenotypic conditions considered. We believe these results contribute to an improved understanding of this complex syndrome and provide an empirical basis to focus research on a more homogenous set of phenotypes.
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