Literature DB >> 31018806

Severe neonatal outcomes associated with emergency cesarean section at term.

Alexandra Pires-Menard1,2, Christopher Flatley1,2, Sailesh Kumar1,2,3.   

Abstract

Objective: To describe the incidence of severe neonatal outcomes in infants delivered by emergency cesarean section (CS) at term and to identify risk factors predisposing to these outcomes.
Methods: This was a retrospective study of women that underwent a term emergency CS at the Mater Hospital in Brisbane between January 2007 and April 2017. Neonatal outcomes was defined as a composite of Neonatal Intensive Care Unit (NICU) admission, severe acidosis, Apgar score ≤3 and 5 min, and death (intrapartum stillbirth and neonatal death).
Results: The risk of adverse outcome was highest for infants born by emergency CS. They had lower median BW (3388 versus 3503 g, p < .001), were born later (40 versus 39 weeks, p = .02) and had higher odds of birth >41 + 0 weeks (aOR 1.34, 95% CI 1.187-1.52, p < .001) birth. Birth weight <5th centile was associated with a tripling and BW <10th centile a doubling of odds of the composite outcome. Indications for emergency cesarean births that had the highest odds for the severe composite outcomes were cord prolapse (aOR 3.06, 95% CI 1.87-5.01, p < .001), failed instrumental delivery (aOR 2.50, 95% CI 1.95-3.21, p < .001), and non-reassuring fetal status (NRFS) (aOR 2.39, 95% CI 2.13-2.69, p < .001).Conclusions: Emergency cesarean is associated with a greater risk of severe neonatal outcome; with low birth weight, an additional independent risk factor for poor condition at birth.

Entities:  

Keywords:  Cesarean section; fetal distress; non-reassuring fetal status; perinatal outcomes

Mesh:

Year:  2019        PMID: 31018806     DOI: 10.1080/14767058.2019.1611770

Source DB:  PubMed          Journal:  J Matern Fetal Neonatal Med        ISSN: 1476-4954


  5 in total

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Journal:  Eur J Pediatr       Date:  2022-02-11       Impact factor: 3.183

2.  Use of an artificial intelligence-based rule extraction approach to predict an emergency cesarean section.

Authors:  Yoko Nagayasu; Daisuke Fujita; Masahide Ohmichi; Yoichi Hayashi
Journal:  Int J Gynaecol Obstet       Date:  2021-09-06       Impact factor: 4.447

3.  The Impact of Severe Maternal Morbidity on Perinatal Outcomes in High Income Countries: Systematic Review and Meta-Analysis.

Authors:  Tesfaye S Mengistu; Jessica M Turner; Christopher Flatley; Jane Fox; Sailesh Kumar
Journal:  J Clin Med       Date:  2020-06-29       Impact factor: 4.241

4.  Tocolysis and the risk of nonreassuring fetal status among pregnant women in labor: Findings from a population-based retrospective cohort study.

Authors:  I-Te Wang; Meng-Ting Tsai; Steven R Erickson; Chung-Hsuen Wu
Journal:  Medicine (Baltimore)       Date:  2019-12       Impact factor: 1.817

5.  Prediction of Emergency Cesarean Section Using Machine Learning Methods: Development and External Validation of a Nationwide Multicenter Dataset in Republic of Korea.

Authors:  Jeong Ha Wie; Se Jin Lee; Sae Kyung Choi; Yun Sung Jo; Han Sung Hwang; Mi Hye Park; Yeon Hee Kim; Jae Eun Shin; Ki Cheol Kil; Su Mi Kim; Bong Suk Choi; Hanul Hong; Hyun-Joo Seol; Hye-Sung Won; Hyun Sun Ko; Sunghun Na
Journal:  Life (Basel)       Date:  2022-04-18
  5 in total

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