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The evolution of the labor curve and its implications for clinical practice: the relationship between cervical dilation, station, and time during labor - 09/05/23

Doi : 10.1016/j.ajog.2022.12.005 
Emily F. Hamilton, MD a, b, , Roberto Romero, MD c, d, e, f, g, h, Adi L. Tarca, PhD c, h, i, Philip A. Warrick, PhD b, j
a Department of Obstetrics and Gynecology, McGill University, Montreal, Canada 
b PeriGen Inc, Cary, NC 
c Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, and Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, and Detroit, MI 
d Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI 
e Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI 
f Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI 
g Department of Obstetrics and Gynecology, Detroit Medical Center, Detroit, MI 
h Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI 
i Department of Computer Science, Wayne State University College of Engineering, Detroit, MI 
j Department of Biomedical Engineering, McGill University, Montreal, Canada 

Corresponding author: Emily F. Hamilton, MD.

Abstract

The assessment of labor progress is germane to every woman in labor. Two labor disorders—arrest of dilation and arrest of descent—are the primary indications for surgery in close to 50% of all intrapartum cesarean deliveries and are often contributing indications for cesarean deliveries for fetal heart rate abnormalities.

Beginning in 1954, the assessment of labor progress was transformed by Friedman. He published a series of seminal works describing the relationship between cervical dilation, station of the presenting part, and time. He proposed nomenclature for the classification of labor disorders. Generations of obstetricians used this terminology and normal labor curves to determine expected rates of dilation and fetal descent and to decide when intervention was required.

The analysis of labor progress presents many mathematical challenges. Clinical measurements of dilation and station are imprecise and prone to variation, especially for inexperienced observers. Many interrelated factors influence how the cervix dilates and how the fetus descends. There is substantial variability in when data collection begins and in the frequency of examinations. Statistical methods to account for these issues have advanced considerably in recent decades. In parallel, there is growing recognition among clinicians of the limitations of using time alone to assess progress in cervical dilation in labor. There is wide variation in the patterns of dilation over time and most labors do not follow an average dilation curve.

Reliable assessment of labor progression is important because uncertainty leads to both over-use and under-use of cesarean delivery and neither of these extremes are desirable. This review traces the evolution of labor curves, describes how limitations are being addressed to reduce uncertainty and to improve the assessment of labor progression using modern statistical techniques and multi-dimensional data, and discusses the implications for obstetrical practice.

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Key words : abnormal labor, active phase of labor, arrest of descent, arrest of dilation, central tendency, cesarean delivery, childbirth, diagnosis, failure to progress in labor, Friedman curve, intervention paradox, logistic growth function, machine-learning, Markov multistate, mathematical modeling, mixed-effects model, neonatal outcome, non-linear mixed effect, parturition, polynomial equations, repeated measures, time dependent, World Health Organization


Plan


 This research was supported, in part, by the Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS); and, in part, with Federal funds from the NICHD/NIH/DHHS under contract number HHSN275201300006C.
 R.R. has contributed to this work as part of his official duties as an employee of the US Federal Government.
 E.F.H. and P.A.W. report being employed by PeriGen, Inc. The other authors report no conflict of interest.


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Vol 228 - N° 5S

P. S1050-S1062 - mai 2023 Retour au numéro
Article précédent Article précédent
  • The active phase of labor
  • Emanuel A. Friedman, Wayne R. Cohen
| Article suivant Article suivant
  • New insights on labor progression: a systematic review
  • Xiaoqing He, Xiaojing Zeng, James Troendle, Maria Ahlberg, Ellen L. Tilden, João Paulo Souza, Stine Bernitz, Tao Duan, Olufemi T. Oladapo, William Fraser, Jun Zhang

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