Literature DB >> 12798533

Predicting term and preterm delivery with transabdominal uterine electromyography.

William L Maner1, Robert E Garfield, Holger Maul, Gayle Olson, George Saade.   

Abstract

OBJECTIVE: To determine whether delivery can be predicted using transabdominal uterine electromyography.
METHODS: A total of 99 patients were grouped as either term (37 weeks or more) or preterm (less than 37 weeks). Uterine electrical activity was recorded for 30 minutes in clinic. Electromyographic "bursts" were evaluated to determine the power density spectrum. Measurement-to-delivery time was compared with the average power density spectrum's peak frequency. Receiver operating characteristic curve analysis was performed for 48, 24, 12, and 8 hours from term delivery, and 6, 4, 2, and 1 day(s) from preterm delivery.
RESULTS: The power density spectrum peak frequency increased as the measurement-to-delivery interval decreased. Receiver operating characteristic curve analysis gave high positive and negative predictive values for both term and preterm delivery. At term, the average power density spectrum peak frequency was significantly higher for the 24-or-fewer-hours-to-delivery group than for the more-than-24-hours-to-delivery group, whereas at preterm, the average power density spectrum peak frequency was significantly higher in the 4-or-fewer-days-to-delivery group than in the more-than-4-days-to-delivery group (P <.05).
CONCLUSION: Transabdominal uterine electromyography predicts delivery within 24 hours at term and within 4 days preterm. This methodology offers many advantages and benefits that are not available with present uterine monitoring systems.

Entities:  

Mesh:

Year:  2003        PMID: 12798533     DOI: 10.1016/s0029-7844(03)00341-7

Source DB:  PubMed          Journal:  Obstet Gynecol        ISSN: 0029-7844            Impact factor:   7.661


  35 in total

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Authors:  Robert E Garfield; William L Maner
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3.  A comparison of various linear and non-linear signal processing techniques to separate uterine EMG records of term and pre-term delivery groups.

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7.  Characterization of abdominally acquired uterine electrical signals in humans, using a non-linear analytic method.

Authors:  William L Maner; Lynette B MacKay; George R Saade; Robert E Garfield
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8.  Nifedipine-induced changes in the electrohysterogram of preterm contractions: feasibility in clinical practice.

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10.  Review and Study of Uterine Bioelectrical Waveforms and Vector Analysis to Identify Electrical and Mechanosensitive Transduction Control Mechanisms During Labor in Pregnant Patients.

Authors:  R E Garfield; Lauren Murphy; Kendra Gray; Bruce Towe
Journal:  Reprod Sci       Date:  2020-10-22       Impact factor: 3.060

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