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Journal of Clinical Monitoring and Computing

Erschienen in:

15.11.2016 | Original Research

Parasympathetic tone variations according to umbilical cord pH at birth: a computerized fetal heart rate variability analysis

verfasst von: Laura Butruille, Julien De jonckheere, Mathilde Flocteil, Charles Garabedian, Véronique Houfflin-Debarge, Laurent Storme, Philippe Deruelle, Régis Logier

Erschienen in: Journal of Clinical Monitoring and Computing | Ausgabe 6/2017

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Abstract

Non-reassuring fetal heart rate tracings reflect an imbalance between the parasympathetic and sympathetic nervous systems. In this situation, fetal asphyxia can be suspected and may be confirmed by metabolic measurements at birth like low pH or high base deficit values. The objective of this study was to determine whether fetal asphyxia during labor is related to parasympathetic nervous system activity. This is a retrospective study of a database collected in 5 centers. Two hundred and ninety-nine fetal heart rate tracings collected during labor were analyzed. Autonomic nervous system, especially the parasympathetic nervous system, was analyzed using an original index: the FSI (Fetal Stress Index). The FSI is a parasympathetic activity evaluation based on fetal heart rate variability analysis. Infants were grouped based on normal or low pH value at birth. FSI was measured during the last 30 min of labor before birth and compared between groups. The minimum value of the FSI during the last 30 min before delivery was significantly lower in the group with the lower umbilical cord arterial pH value. In this pilot study during labor, FSI was lower in the group of infants with low arterial pH at birth.

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Titel: Parasympathetic tone variations according to umbilical cord pH at birth: a computerized fetal heart rate variability analysis
verfasst von: Laura Butruille
Julien De jonckheere
Mathilde Flocteil
Charles Garabedian
Véronique Houfflin-Debarge
Laurent Storme
Philippe Deruelle
Régis Logier
Publikationsdatum: 15.11.2016
Verlag: Springer Netherlands
Erschienen in: Journal of Clinical Monitoring and Computing / Ausgabe 6/2017
Print ISSN: 1387-1307
Elektronische ISSN: 1573-2614
DOI: https://doi.org/10.1007/s10877-016-9957-y

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