Temporal Evolution of Intrapartum Fetal Heart Rate Features

Area of Science:

• Obstetrics and Gynecology
• Neonatal Medicine
• Computational Biology

Background:

• Intrapartum identification of fetal distress is crucial for preventing neonatal complications like hypoxic-ischemic encephalopathy (HIE).
• Accurate prediction of HIE risk allows for timely interventions, minimizing adverse outcomes without unnecessary procedures.

Purpose of the Study:

• To investigate the evolution of fetal heart rate (FHR) features in the last 6 hours of labor.
• To identify FHR characteristics that can predict the risk of HIE in newborns.

Main Methods:

• Analysis of FHR signals from 21,853 normal births and 163 HIE cases.
• Division of the 6-hour pre-delivery period into 20-minute epochs.
• Calculation of power spectral density bands (LF, MF, HF), LF/(MF+HF) ratio, FHR mean and standard deviation, approximate entropy (ApEn), and deceleration capacity (DC).

Main Results:

• ApEn, FHR standard deviation, and DC demonstrated potential for early HIE risk detection.
• These indicators showed promise in identifying HIE risk as early as 120 minutes prior to birth.
• This early detection window allows for timely clinical interventions.

Conclusions:

• FHR analysis, particularly ApEn, standard deviation, and DC, can serve as an early warning system for HIE risk.
• Predictive capabilities identified 120 minutes before birth offer a critical window for intervention.
• This approach may improve neonatal outcomes by enabling proactive management of fetal distress.