Assessing a Predicted Time to Delivery in the Context of Cervical Ripening With Dinoprostone Vaginal Insert

NCT ID: NCT03482531

Last Updated: 2018-05-30

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

UNKNOWN

Total Enrollment

500 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-04-01

Study Completion Date

2019-11-01

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Induction of labor is a common obstetric procedure that is routinely performed worldwide. However, when cervical conditions are not favorable (bishop \<6), induction of labor is preceded by cervical ripening, usually with prostaglandins. The method of ripening most commonly used in France (89% of maternity wards) is the dinoprostone vaginal insert. In the majority of hospitals in France, dinoprostone vaginal inserts are usually placed in the morning, because of the higher availability of personnel (midwives and nurses). However, morning placement might increase the likelihood of the delivery occurring at night, since the mean interval between the insert placement and delivery is about 13 to 20 hours. Many studies have now shown that the risk of obstetrical complications, as well as neonatal morbidity and mortality is increased when deliveries occur at night. Several factors have been suggested behind the increased morbidity at night, including the lower number of personnel working, the fatigue associated with night work and the disruption of the circadian rhythm, and the insufficient supervision of residents.

Very few studies have evaluated the importance of the timing of placement of the intravaginal dinoprostone insert, and its influence on the occurrence of night deliveries. Some investigators have recently performed a retrospective study at Angers university hospital that assessed the time interval between placing the dinoprostone vaginal insert and delivery, as well as the factors impacting the time to delivery, and found that nulliparity, obesity, a closed cervix on initial examination, and intact membranes at the time of insertion increased the time to delivery. Moreover, the investigators proposed a regression equation that allows to calculate the mean time from insert placement to delivery for each patient, and have decided to incorporate it in the routine practice.

The investigators have decided to analyze the validity of the mathematical model. The consequence would be, thanks to a personalized timing for placement of dinoprostone vaginal insert based on every patient's characteristics (parity, BMI, cervical dilation and state of membranes), a decreased number of deliveries occurring between 12 p.m. and 6 a.m.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

This is a before-after, retrospective and prospective monocentric study. Patients in the "before" group were part of another study which are currently in the process of publishing and were retrospectively included, whereas patients in the "after" group will be prospectively included.

In the "before" group, the investigators retrospectively included 405 patients who had a dinoprostone vaginal insert for cervical ripening before induction of labor, between January 2015 and September 2016. The main outcome of the previous study was to evaluate the time interval between placing the dinoprostone vaginal insert and delivery. One of the secondary objectives was to determine the factors that would impact the time to delivery. Multivariate and regression analysis showed that the factors significantly increasing the time to delivery were: Nulliparity, obesity, a closed cervix on initial examination, and intact membranes at the time of insertion. The investigators also described a regression equation that allows to calculate the mean time from insert placement to delivery for each patient:

Y = 961,188 - 80,346 x parity + 21,437 x Body Mass Index (BMI) - 165,263 x cervical dilation- 241,759 x Premature rupture of membranes.

Following this study, the investigators decided to modify the routine procedures on the maternity ward and incorporate the equation when scheduling patients for cervical ripening with vaginal dinoprostone insert. The aim is to have a more personalized insertion schedule that would lower the number of deliveries occurring between midnight and 6 a.m., since it has been proven that there is a higher risk of obstetrical morbidity with night-time labor and delivery.

The investigators will prospectively include all eligible patients with a vaginal dinoprostone insert for cervical ripening during the next two years, starting on April 1st, 2018. At Angers hospital, there are around 600 cases of dinoprostone vaginal inserts per year, so 400 to 500 patients will be included during the study's duration. The investigators will then compare the outcomes in these patients that will comprise the "after" group, to the outcomes of patients in the "before" group, who delivered before the implementation of the new scheduling process. The investigators will thus be able to able to assess whether the mathematical model they suggested to estimate time to delivery and the personalized insertion timings have been confirmed. Then, subsequently, the objective is to analyze whether the use of the personalized scheduling based on the mathematical model they described would decrease the rate of nocturnal deliveries (between midnight and 6 a.m.).

The research project has been approved by the ethics committee of Angers university hospital on January 31st, 2018.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Dinoprostone Vaginal Insert

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

OTHER

Study Time Perspective

PROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

before group

In the "before" group, the investigators retrospectively included 405 patients who had a dinoprostone vaginal insert for cervical ripening before induction of labor, between January 2015 and September 2016.

Multivariate and regression analysis showed that the factors significantly increasing the time to delivery were: Nulliparity, obesity, a closed cervix on initial examination, and intact membranes at the time of insertion. The investigators also described a regression equation that allows to calculate the mean time from insert placement to delivery for each patient.

No interventions assigned to this group

after group

The investigators will prospectively include all eligible patients with a vaginal dinoprostone insert for cervical ripening during the next two years, starting on April 1st, 2018. At Angers hospital, there are around 600 cases of dinoprostone vaginal inserts per year, so the investigators will be able to include 400 to 500 patients during the study's duration.

The equation will be incorporated when scheduling patients for cervical ripening with vaginal dinoprostone insert. The main objective of this study is to analyze to evaluate our mathematical model. One of the secondary objectives is to analyze whether the use of the personalized scheduling based on the mathematical model would decrease the rate of nocturnal deliveries (between midnight and 6 a.m.).

mathematical model

Intervention Type OTHER

mathematical model: regression equation that calculates the mean time from insert placement to delivery for each patient, based on every patient's characteristics (parity, BMI, cervical dilation and state of membranes)

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

mathematical model

mathematical model: regression equation that calculates the mean time from insert placement to delivery for each patient, based on every patient's characteristics (parity, BMI, cervical dilation and state of membranes)

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* have cervical ripening with the dinoprostone vaginal insert
* 34 weeks gestational age (GA) and beyond
* singleton pregnancies
* cephalic presentations

Exclusion Criteria

* term \< 34 weeks GA
* previous history of cesarean section
* women who refuse to participate in the study or have their data used.
* twin pregnancy
* prostaglandin allergies
Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

University Hospital, Angers

OTHER_GOV

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Angers University hospital

Angers, Maine Et Loire, France

Site Status RECRUITING

Countries

Review the countries where the study has at least one active or historical site.

France

Central Contacts

Reach out to these primary contacts for questions about participation or study logistics.

BOUET Pierre-emmanuel, doctor

Role: CONTACT

(+33)02.41.35.42.13

Facility Contacts

Find local site contact details for specific facilities participating in the trial.

BOUET Pierre-emmanuel, doctor

Role: primary

(+33) 02.41.35.42.13

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

PHRC 2018-03

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.