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Temporal Evolution of Intrapartum Fetal Heart Rate Features. | LitMetric

AI Article Synopsis

  • The study aims to enhance the identification of fetal heart rate tracings that indicate severe acidosis at birth, potentially preventing hypoxic-ischemic encephalopathy (HIE) while minimizing unnecessary interventions during normal births.
  • The researchers analyzed fetal heart rate signals from 21,853 births with normal outcomes and 163 cases of HIE, examining changes over the last 6 hours before delivery using 20-minute intervals.
  • Results indicated that specific metrics such as approximate entropy, standard deviation, and deceleration capacity could effectively signal the risk of HIE as early as 120 minutes before birth, allowing for timely medical interventions.

Article Abstract

Our research goal is to improve the intrapartum identification of tracings associated with severe acidosis at birth and subsequent hypoxic-ischemic encephalopathy so that timely interventions could avoid such complications without causing excessive unnecessary interventions in births with normal outcomes. The present study examines the evolution of fetal heart rate (FHR) features over the course of labor. We analyzed FHR signals collected in the last 6 hours before delivery in 21,853 births with normal neonatal outcomes and in 163 that developed hypoxic-ischemic encephalopathy (HIE) from 15 hospitals of Kaiser Permanente Northern California. We divided these six hours into 18 nonoverlapping 20-minute epochs. The power spectral density of each epoch was divided into three bands: low frequency (LF, 30-150 mHz), movement frequency (MF, 150-500 mHz), and high frequency (HF, 500-1000 mHz). We also estimated the LF/(MF+HF) ratio, the mean and standard deviation of the FHR signal, the approximate entropy (ApEn), and the deceleration capacity (DC). In our results, ApEn, the standard deviation, and DC showed a promising ability to detect risk of HIE as early as 120 minutes before birth, which gives enough leading time for timely interventions.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681033PMC
http://dx.doi.org/10.23919/cinc53138.2021.9662865DOI Listing

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