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.

JAMA Pediatrics
|January 7, 2015
PubMed

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.
Abstract

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