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Toward the improvement in fetal monitoring during labor with the inclusion of maternal heart rate analysis

Title
Toward the improvement in fetal monitoring during labor with the inclusion of maternal heart rate analysis
Type
Article in International Scientific Journal
Year
2016
Authors
Silva, M
(Author)
Other
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Ayres de Campos, D
(Author)
Other
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Joao Bernardes
(Author)
FMUP
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Journal
Vol. 54
Pages: 691-699
ISSN: 0140-0118
Publisher: Springer Nature
Other information
Authenticus ID: P-00G-E3H
Abstract (EN): Fetal heart rate (FHR) monitoring is used routinely in labor, but conventional methods have a limited capacity to detect fetal hypoxia/acidosis. An exploratory study was performed on the simultaneous assessment of maternal heart rate (MHR) and FHR variability, to evaluate their evolution during labor and their capacity to detect newborn acidemia. MHR and FHR were simultaneously recorded in 51 singleton term pregnancies during the last two hours of labor and compared with newborn umbilical artery blood (UAB) pH. Linear/nonlinear indices were computed separately for MHR and FHR. Interaction between MHR and FHR was quantified through the same indices on FHR-MHR and through their correlation and cross-entropy. Univariate and bivariate statistical analysis included nonparametric confidence intervals and statistical tests, receiver operating characteristic curves and linear discriminant analysis. Progression of labor was associated with a significant increase in most MHR and FHR linear indices, whereas entropy indices decreased. FHR alone and in combination with MHR as FHR-MHR evidenced the highest auROC values for prediction of fetal acidemia, with 0.76 and 0.88 for the UAB pH thresholds 7.20 and 7.15, respectively. The inclusion of MHR on bivariate analysis achieved sensitivity and specificity values of nearly 100 and 89.1 %, respectively. These results suggest that simultaneous analysis of MHR and FHR may improve the identification of fetal acidemia compared with FHR alone, namely during the last hour of labor.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 9
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