Preterm Labor Overview

Principles

Definition

Preterm labor is a critical concept in obstetrics and perinatal medicine, defined as the onset of regular uterine contractions resulting in cervical change between 20 0/7 and 36 6/7 weeks of gestation. This phenomenon constitutes a primary area of research investigation due to its significant association with neonatal morbidity and mortality, focusing on understanding its underlying mechanisms, risk factors, prediction, prevention, and management.

Ontological type

Prevention and Management

Risk Factors

Pathophysiology

Key developments

Key Figures

Risk-Stratified Prevention era

Michael S. Kramer [1], affiliated with Yale University [2] and the University of Minnesota [3], was a leading figure in the Risk-Stratified Prevention era of preterm birth (1975-1990). His key contribution during this era arises from the 1987 paper Intrauterine Growth and Gestational Duration Determinants [4], which clarified how intrauterine growth and gestational duration relate to pregnancy risk and underpinned the rationale for targeted surveillance and risk-based interventions. This work helped integrate epidemiologic risk assessment into obstetric care, guiding the identification of high-risk pregnancies and informing subsequent risk-stratified strategies promoted by Kramer [1]. That foundation was reinforced by the determinants work Intrauterine Growth and Gestational Duration Determinants [4], while Kramer [1] integrated risk-based surveillance into obstetric care across Yale University [2] and the University of Minnesota [3], shaping era-wide prevention strategies.

Biomarker and Inflammation era

Robert L. Goldenberg[1], associated with Baylor College of Medicine[2] and Albert Einstein College of Medicine[3], emerges as a central figure in the Biomarker and Inflammation era (1991-2004). His key contribution is exemplified by the 1996 paperThe preterm prediction study: Maternal stress is associated with spontaneous preterm birth at less than thirty-five weeks' gestation[4], which identified maternal stress as a predictor of spontaneous preterm birth and underscored the role of psychosocial factors in etiologic models of preterm birth. Goldenberg[1]'s work in this era advanced the integration of psychosocial and biomarker signals to refine risk stratification for preterm birth and to inform targeted interventions, thereby strengthening causal inference. These biomarker-informed insights into inflammation and neonatal risk, championed by Goldenberg[1], helped shape study designs and diagnostic priorities across the era.

Etiology-to-Implementation era

Catherine Y. Spong [1], with affiliations at University of California, San Francisco [3] and The University of Texas Southwestern Medical Center [4], contributed to etiologically informed prevention efforts during this era. Her key contributions, as reflected in the 2012 paper Preventing preterm births: analysis of trends and potential reductions with interventions in 39 countries with very high human development index [7], included quantifying potential reductions through interventions and analyzing international trends to guide implementation strategies. Shoo K. Lee [2], with affiliations at Cornell University [5] and the University of Toronto [6], contributed to this era's etiologic-to-implementation focus. His contribution mirrors Spong's in the same paper Preventing preterm births: analysis of trends and potential reductions with interventions in 39 countries with very high human development index [7], providing evidence on how population-level strategies for antenatal interventions can reduce preterm births and inform guideline deployment.