Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                

Complexity-loss in fetal heart rate dynamics during labor as a potential biomarker of acidemia

Early Hum Dev. 2014 Jan;90(1):67-71. doi: 10.1016/j.earlhumdev.2013.10.002. Epub 2013 Nov 28.

Abstract

Background: Continuous fetal heart rate (FHR) monitoring remains central to intrapartum care. However, advances in signal analysis are needed to increase its accuracy in diagnosis of fetal hypoxia.

Aims: To determine whether FHR complexity, an index of multiscale variability, is lower among fetuses born with low (≤7.05) versus higher pH values, and whether this measure can potentially be used to help discriminate the two groups.

Study design: Evaluation of a pre-existing database of sequentially acquired intrapartum FHR signals.

Subjects: FHR tracings, obtained from a continuous scalp electrocardiogram during labor, were analyzed using the multiscale entropy (MSE) method in 148 singletons divided in two groups according to umbilical artery pH at birth: 141 fetuses with pH>7.05 and 7 with pH≤7.05. A complexity index derived from MSE analysis was calculated for each recording.

Results: The complexity of FHR signals for the last two hours before delivery was significantly (p<0.004) higher for non-acidemic than for acidemic fetuses. The difference between the two groups remained significant (p<0.003) when FHR data from the last 30min before delivery were excluded.

Conclusion: Complexity of FHR signals, as measured by the MSE method, was significantly lower for acidemic than non-acidemic fetuses. These results are consistent with previous studies showing that decreased nonlinear complexity is a dynamical signature of disrupted physiologic control systems. This analytic approach may have discriminative value in FHR analysis.

Keywords: Cardiotocography; Complexity analysis; Fetal monitoring; Heart rate; Multiscale entropy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cardiotocography / methods*
  • Case-Control Studies
  • Data Interpretation, Statistical
  • Female
  • Heart Rate, Fetal*
  • Humans
  • Hydrogen-Ion Concentration
  • Infant, Newborn
  • Labor, Obstetric
  • Male
  • Metabolism, Inborn Errors / diagnosis*
  • Pregnancy