Assessing first-stage labor progression and its relationship to complications

Area of Science:

• Obstetrics and Gynecology
• Maternal-Fetal Medicine
• Clinical Informatics

Background:

• Traditional labor curves present wide variations in dilation and descent, with arrest criteria applicable only in late labor.
• Cervical dilation lacks a direct relationship with time, making traditional assessments less precise.
• Newer multifactorial models offer improved precision by incorporating multiple labor progress factors and adapting to real-time maternal conditions.

Purpose of the Study:

• To compare the efficacy of two labor progress assessment methods: traditional arrest of dilation definitions versus percentile rankings from adaptive multifactorial models.
• To evaluate the relationship between these assessment methods and labor-related complications.

Main Methods:

• A retrospective analysis of 4703 term, singleton, cephalic births using electronic fetal monitoring and cord gases.
• Assessment of electronic data including delivery route, dilation/station examinations, and newborn status.
• Comparison of receiver operating characteristic curves for sensitivity and false-positive rates for each complication group.

Main Results:

• Traditional arrest of dilation criteria (≥6 cm) showed poor discrimination for cesarean delivery interventions (AUC, 0.55-0.65) and no significant link to hemorrhage or neonatal depression.
• Percentile rankings from adaptive multifactorial models demonstrated high discrimination for cesarean delivery outcomes (AUC, 0.78-0.93) and low discrimination for hemorrhage (AUC, 0.58-0.61).

Conclusions:

• Traditional arrest of dilation criteria offer limited predictive value for labor complications.
• Adaptive multifactorial models provide superior discrimination for cesarean delivery interventions and a better, though low, discrimination for hemorrhage.
• Multifactorial models offer a standardized, adaptable approach to labor assessment from 3 cm onward, improving upon time-based and "pass/fail" criteria.