Determination of Labor Progression Patterns Using Non-invasive, Ultrasound Based, Multiple Parameters
NCT ID: NCT00827125
Last Updated: 2010-01-05
Study Results
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Basic Information
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UNKNOWN
PHASE2
650 participants
INTERVENTIONAL
2009-03-31
2010-02-28
Brief Summary
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Detailed Description
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Digital examination remains the "gold standard" for evaluation of head station and position and cervical dilatation in pregnancy; however, it has inherent variability.
evaluations of the reliability of cervical dilatation assessment were performed initially in models, and more recently in patients during labor. Accuracy in models ranges from 51% to 59% and falls under 50% when evaluated in patients.
However, labor management has changed substantially since then. Induction of labor, oxytocin use, epidural analgesia, and fetal heart rate monitoring are very common in contemporary practice whereas breech vaginal delivery and mid forceps are rarely performed. The mean body mass of women is significantly higher than it was 50 years ago, which may contribute to the increased fetal size, and the second stage is prolonged, as it increasingly occurs with use of epidural analgesia. Some studies suggested that the Friedman curve was no longer appropriate for induced or actively managed labor.
In addition, once full dilatation is reached, although descent continues, monitoring of cervical dilation is no longer useful in the second stage. Descent in the second stage of labor is accompanied by rotation of the presenting part as it negotiates the pelvis. Friedman and Sachtleben showed that arrest of descent was frequently associated with fetal malpositions and suggested that abnormalities of rotation were important prognostic factors in the second stage.
The rates of caesarean section have been a major public health concern. Non progressive labor is the leading cause of primary C-sections in the US. It is well known that non-progressive labor is over diagnosed, and determination of the patterns of normal and abnormal labor is fundamental to the formulation of strategies to reduce caesarean section rates. In the US, the total cesarean delivery rate for 2005 rose to the highest level ever reported - 30.3%.After declining between 1989 and 1996, the cesarean rate has increased by 46 percent from the 1996 low of 20.7. The American College of Obstetricians and Gynecologists Task Force on Caesarian Delivery Rates (2000) recommended a C-section rate of 15.5% for nulliparous women for the US for the year 2010.
The LaborPro provides a tool for frequent non-invasive evaluation of head station and position, head descend, head descend during contraction, head position, and head rotation, without increasing the risk of maternal/fetal infection related to the number of vaginal examinations. In addition, a ruler-like determination of cervical dilatation is available during TVDE, as well as measurements of Pelvis diameters.
Conditions
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Study Design
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NON_RANDOMIZED
SINGLE_GROUP
DIAGNOSTIC
SINGLE
Interventions
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LaborPro device
monitoring labor progression by using a new device The LaborPro system (Trig Medical Inc) allows determination of fetal head station and position using ultrasound and position tracking system.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Pregnant adult woman in labor
* Gestational age 37-42 wks
* Vertex presentation
* Willing to participate in the study and understands the study
Exclusion Criteria
* Fetal distress
18 Years
50 Years
FEMALE
Yes
Sponsors
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Trig Medical Inc
INDUSTRY
Responsible Party
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TrigMedical Inc.
Locations
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Maimonides Medical Center
New York, New York, United States
bnai-Zion Medical center
Haifa, , Israel
Countries
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Central Contacts
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References
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Haberman S, Atallah F, Nizard J, Buhule O, Albert P, Gonen R, Ville Y, Paltieli Y. A Novel Partogram for Stages 1 and 2 of Labor Based on Fetal Head Station Measured by Ultrasound: A Prospective Multicenter Cohort Study. Am J Perinatol. 2021 Aug;38(S 01):e14-e20. doi: 10.1055/s-0040-1702989. Epub 2020 Mar 2.
Other Identifiers
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CLP 032/2008CTIL
Identifier Type: -
Identifier Source: org_study_id
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