Literature DB >> 15802412

Uterine electromyography characteristics for early diagnosis of mifepristone-induced preterm labor.

Muriel Doret1, Radek Bukowski, Monica Longo, Holger Maul, William L Maner, Robert E Garfield, George R Saade.   

Abstract

OBJECTIVE: Differentiating uterine contractions leading to preterm birth from ineffective uterine activity is difficult with current tools. Uterine electromyographic activity is recordable and consists of bursts (group of action potentials) characterized by characteristics that are different during pregnancy and labor. Our aim was to identify the chronology of the changes in uterine pressure and electromyographic characteristics during mifepristone-induced preterm labor in pregnant rats and to determine the earliest characteristic to change.
METHODS: On day 17 of gestation, intrauterine catheter and electromyography electrodes were implanted in the uterus. On day 18, rats were allocated for treatment with mifepristone or placebo. Intrauterine pressure and electromyography integral activities and electromyography mean were calculated before treatment and 6, 12, 18, 20, 22, and 24 hours after treatment. After mathematical transformation, burst analysis was performed by using power density spectrum energy, peak amplitude, and frequency.
RESULTS: As expected, delivery rate within 24 hours was higher in the mifepristone-treated group. Changes in electromyography integral activity and mean, power density spectrum energy, and intrauterine pressure integral activity occurred late during preterm labor, in a range of 2-4 hours before delivery. Electromyography peak frequency of the power density spectrum exhibited early changes, with a shift from low to high frequencies starting at 12 hours before delivery.
CONCLUSION: Electromyography peak frequency of the power density spectrum from individual bursts was the first characteristic to change after antiprogestin treatment, preceding any change in intrauterine pressure, making it a potentially useful marker for the early diagnosis of preterm labor.

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Year:  2005        PMID: 15802412     DOI: 10.1097/01.AOG.0000157110.62926.d7

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


  8 in total

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Authors:  Chun-Ying Ku; Dilyara A Murtazina; Yoon-Sun Kim; Robert E Garfield; Barbara M Sanborn
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Review 2.  Physiology and electrical activity of uterine contractions.

Authors:  Robert E Garfield; William L Maner
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3.  Nifedipine-induced changes in the electrohysterogram of preterm contractions: feasibility in clinical practice.

Authors:  Maartje P G C Vinken; C Rabotti; M Mischi; J O E H van Laar; S G Oei
Journal:  Obstet Gynecol Int       Date:  2010-06-16

Review 4.  Tocolysis: Present and future treatment options.

Authors:  Joshua D Younger; Elena Reitman; George Gallos
Journal:  Semin Perinatol       Date:  2017-12       Impact factor: 3.311

5.  Prediction of preterm deliveries from EHG signals using machine learning.

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

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Journal:  Sci Rep       Date:  2021-01-21       Impact factor: 4.379

7.  Preterm labour detection by use of a biophysical marker: the uterine electrical activity.

Authors:  Catherine K Marque; Jérémy Terrien; Sandy Rihana; Guy Germain
Journal:  BMC Pregnancy Childbirth       Date:  2007-06-01       Impact factor: 3.007

8.  Application of decision tree in determining the importance of surface electrohysterography signal characteristics for recognizing uterine contractions.

Authors:  Dongmei Hao; Qian Qiu; Xiya Zhou; Yang An; Jin Peng; Lin Yang; Dingchang Zheng
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  8 in total

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