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Prolonged Labour clinical trials

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NCT ID: NCT02232035 Not yet recruiting - Pain Clinical Trials

Diazepam at the Active Phase of Labor

Start date: September 2014
Phase: Phase 2
Study type: Interventional

Prolonged labour can lead to increased maternal and neonatal mortality and morbidity due to increased risks of maternal exhaustion, postpartum haemorrhage and sepsis, fetal distress and asphyxia and requires early detection and appropriate clinical response. The risks for complications of prolonged labour are much greater in poor resource settings. Active management of labour versus physiological, expectant management, has shown to decrease the occurrence of prolonged labour. Administering sedatives during labour could also lead to faster and more effective dilatation of the cervix. Interventions to shorten labour, such as sedatives, can be used as a preventative or a treatment strategy in order to decrease the incidence of prolonged labour. As the evidence to support this is still largely anecdotal around the world. (Cochrane Database of Systematic Reviews 2013,CD009243.pub3.; Cochrane Database of Systematic Reviews 2012, CD009223.pub2.) Hypothesis: Diazepam reduced the duration of labor and the severity of pain in labor.

NCT ID: NCT01878591 Completed - Prolonged Labour Clinical Trials

Can Ultrasound Predict Labor Outcome in Operative Vaginal Deliveries?

Start date: November 2013
Phase: N/A
Study type: Observational

To assess whether ultrasound methods can predict outcome of operative vaginal deliveries in nulliparous women at term with singleton pregnancies and prolonged second stage of labor. To compare different ultrasound assessments Compare digital assessments and ultrasound findings. Investigate if movement of the fetal head during active pushing is a predictive factor Null hypotheses: - Ultrasound measurements cannot predict outcomes of operative vaginal delivery. - Ultrasound is not better than digital examination in predicting delivery outcome. - Movement of fetal head with active pushing is not a predictive factor.