Literature DB >> 29850920

Clinical Use of Electrohysterography During Term Labor: A Systematic Review on Diagnostic Value, Advantages, and Limitations.

Marion W C Vlemminx1, Chiara Rabotti2, M Beatrijs van der Hout-van der Jagt3, S Guid Oei4.   

Abstract

IMPORTANCE: Real-time electrohysterography (EHG)-based technologies have recently become available for uterine monitoring during term labor. Therefore, obstetricians need to be familiar with the diagnostic value, advantages, and limitations of using EHG.
OBJECTIVE: The aims of this study were to determine the diagnostic value of EHG in comparison to (1) the intrauterine pressure catheter (IUPC), (2) the external tocodynamometer (TOCO), and (3) in case of maternal obesity; (4) to evaluate EHG from users' and patients' perspectives; and (5) to assess whether EHG can predict labor outcome. EVIDENCE ACQUISITION: A systematic review was performed in the MEDLINE, EMBASE, and Cochrane library in October 2017 resulting in 209 eligible records, of which 20 were included.
RESULTS: A high sensitivity for contraction detection was achieved by EHG (range, 86.0%-98.0%), which was significantly better than TOCO (range, 46.0%-73.6%). Electrohysterography also enhanced external monitoring in case of maternal obesity. The contraction frequency detected by EHG was on average 0.3 to 0.9 per 10 minutes higher compared with IUPC, which resulted in a positive predictive value of 78.7% to 92.0%. When comparing EHG tocograms with IUPC traces, an underestimation of the amplitude existed despite that patient-specific EHG amplitudes have been mitigated by amplitude normalization. Obstetricians evaluated EHG tocograms as better interpretable and more adequate than TOCO. Finally, potential EHG parameters that could predict a vaginal delivery were a predominant fundal direction and a lower peak frequency. CONCLUSIONS AND RELEVANCE: Electrohysterography enhances external uterine monitoring of both nonobese and obese women. Obstetricians consider EHG as better interpretable; however, they need to be aware of the higher contraction frequency detected by EHG and of the amplitude mismatch with intrauterine pressure measurements.

Entities:  

Mesh:

Year:  2018        PMID: 29850920     DOI: 10.1097/OGX.0000000000000560

Source DB:  PubMed          Journal:  Obstet Gynecol Surv        ISSN: 0029-7828            Impact factor:   2.347


  4 in total

1.  The ElectroUteroGraph: A Novel Tool for Assessing Uterine Contractions of Non-Pregnant Women.

Authors:  Julius Georgiou; Konstantinos Lekkas; Giorgos Varnava; Marios Sophocleous; Andreas Michaelides; Vasilios Tanos
Journal:  IEEE Open J Eng Med Biol       Date:  2022-03-15

2.  Evaluation of convolutional neural network for recognizing uterine contractions with electrohysterogram.

Authors:  Dongmei Hao; Jin Peng; Ying Wang; Juntao Liu; Xiya Zhou; Dingchang Zheng
Journal:  Comput Biol Med       Date:  2019-08-19       Impact factor: 4.589

3.  Preliminary Study on the Efficient Electrohysterogram Segments for Recognizing Uterine Contractions with Convolutional Neural Networks.

Authors:  Jin Peng; Dongmei Hao; Haipeng Liu; Juntao Liu; Xiya Zhou; Dingchang Zheng
Journal:  Biomed Res Int       Date:  2019-10-13       Impact factor: 3.411

4.  Automatic recognition of uterine contractions with electrohysterogram signals based on the zero-crossing rate.

Authors:  Xiaoxiao Song; Xiangyun Qiao; Dongmei Hao; Lin Yang; Xiya Zhou; Yuhang Xu; Dingchang Zheng
Journal:  Sci Rep       Date:  2021-01-21       Impact factor: 4.379

  4 in total

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