Decreased Maternal Morbidity and Improved Perinatal Results of Magnesium-Free Tocolysis and Classical Hysterotomy in Fetal Open Surgery for Myelomeningocele Repair: A Single-Center Study.
Mateusz ZamłyńskiAnita OlejekEwa HorzelskaTomasz HorzelskiJacek ZamłyńskiRafał BablokIwona Maruniak-ChudekKatarzyna Olszak-WąsikAgnieszka PastuszkaPublished in: Biomedicines (2023)
Fetal and maternal risks associated with open fetal surgery (OFS) in the management of meningomyelocele (MMC) are considerable and necessitate improvement. A modified technique of hysterotomy (without a uterine stapler) and magnesium-free tocolysis (with Sevoflurane as the only uterine muscle relaxant) was implemented in our new magnesium-free tocolysis and classical hysterotomy (MgFTCH) protocol. The aim of the study was to assess the introduction of the MgFTCH protocol in reducing maternal and fetal complications. The prospective study cohort (SC) included 64 OFS performed with MgFTCH at the Fetal Surgery Centre Bytom (FSCB) (2015-2020). Fetal and maternal outcomes were compared with the retrospective cohort (RC; n = 46), and data from the Zurich Center for Fetal Diagnosis and Therapy (ZCFDT; n = 40) and the Children's Hospital of Philadelphia (CHOP; n = 100), all using traditional tocolysis. The analysis included five major perinatal complications (Clavien-Dindo classification, C-Dc) which developed before the end of 34 weeks of gestation (GA, gestational age). None of the newborns was delivered before 30 GA. Only two women presented with grade 3 complications and none with 4th or 5th grade (C-Dc). The incidence of perinatal death (3.3%) was comparable with the RC (4.3%) and CHOP data (6.1%). MgFTCH lowers the risk of major maternal and fetal complications.
Keyphrases
- birth weight
- gestational age
- minimally invasive
- pregnancy outcomes
- risk factors
- pregnant women
- randomized controlled trial
- coronary artery bypass
- acute lymphoblastic leukemia
- healthcare
- type diabetes
- machine learning
- coronary artery disease
- metabolic syndrome
- immune response
- deep learning
- physical activity
- skeletal muscle
- acute coronary syndrome
- artificial intelligence
- body mass index
- young adults
- data analysis
- mesenchymal stem cells
- atrial fibrillation