Predictive modeling of emergency cesarean delivery

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Predictive modeling of emergency cesarean delivery

OBJECTIVE To increase discriminatory accuracy (DA) for emergency cesarean sections (ECSs). STUDY DESIGN We prospectively collected data on and studied all 6,157 births occurring in 2014 at four public hospitals located in three different autonomous communities of Spain. To identify risk factors (RFs) for ECS, we used likelihood ratios and logistic regression, fitted a classification tree (CTR...

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Anesthetic management of a simultaneous emergency craniotomy and cesarean delivery.

Fetal heart tone monitoring is a frequently used tool during nonobstetric maternal surgery to evaluate the immediate well-being of a fetus. We present a case of a parturient requiring an emergency craniotomy, during which fetal heart tone monitoring demonstrated fetal distress patterns. A simultaneous emergency craniotomy and emergency cesarean delivery proceeded with favorable outcomes for bot...

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Predictive Factors for Cesarean Delivery – A Retrospective Study

Background: Cesarean section rates have risen markedly worldwide. Considering the potential harm caused by this mode of delivery, and the general concern in reducing its incidence, it would be useful to individualize the risk of non-planned cesareans, and if there is any possibility, reduce that risk, and anesthesiologists should take part of this risk evaluation. In recent studies, many factor...

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Decision-to-delivery interval in emergency cesarean delivery in tertiary care hospital in Thailand

Objective To determine the decision-to-delivery interval (DDI) in emergency cesarean delivery and associated factors. Methods A total of 431 pregnant women who were indicated for emergency cesarean delivery were included. Clinical information and timing of process after decision until delivery and pregnancy outcomes were evaluated. Results Mean age was 30 years, and 59.4% were nulliparous. ...

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ژورنال

عنوان ژورنال: PLOS ONE

سال: 2018

ISSN: 1932-6203

DOI: 10.1371/journal.pone.0191248