The second Signal Processing and Monitoring in Labor workshop gathered researchers who utilize promising new research strategies and initiatives to tackle the challenges of intrapartum fetal monitoring. The workshop included a series of lectures and discussions focusing on: new algorithms and techniques for cardiotocogoraphy (CTG) and electrocardiogram acquisition and analyses; the results of a CTG evaluation challenge comparing state-of-the-art computerized methods and visual interpretation for the detection of arterial cord pH <7.05 at birth; the lack of consensus about the role of intrapartum acidemia in the etiology of fetal brain injury; the differences between methods for CTG analysis "mimicking" expert clinicians and those derived from "data-driven" analyses; a critical review of the results from two randomized controlled trials testing the former in clinical practice; and relevant insights from modern physiology-based studies. We concluded that the automated algorithms performed comparably to each other and to clinical assessment of the CTG. However, the sensitivity and specificity urgently need to be improved (both computerized and visual assessment). Data-driven CTG evaluation requires further work with large multicenter datasets based on well-defined labor outcomes. And before first tests in the clinic, there are important lessons to be learnt from clinical trials that tested automated algorithms mimicking expert CTG interpretation. In addition, transabdominal fetal electrocardiogram monitoring provides reliable CTG traces and variability estimates; and fetal electrocardiogram waveform analysis is subject to promising new research. There is a clear need for close collaboration between computing and clinical experts. We believe that progress will be possible with multidisciplinary collaborative research.
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http://dx.doi.org/10.1111/aogs.13639 | DOI Listing |
AJP Rep
July 2024
Department of Obstetrics and Gynecology, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Iniencephaly is an extremely rare type of neural tube defect characterized by the fusion of the cervical and cervicothoracic vertebrae. This condition results in acute retroflexion of the head, a short neck, significant lordosis of the cervical spine, and an upturned facial appearance. This condition typically results in poor fetal outcomes, with many cases ending in stillbirth or neonatal death.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
December 2024
Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Delivery mode has been linked to child health, e.g., allergic disease.
View Article and Find Full Text PDFAm J Obstet Gynecol
December 2024
Fetal Medicine Research Institute, King's College Hospital, London, UK.
Background: Previous studies demonstrated that placental dysfunction leads to intrapartum fetal distress, particularly when an abnormal pattern of angiogenic markers is demonstrated at 36 weeks of gestation. Prediction of intrapartum fetal compromise is particularly important in patients undergoing induction of labor due to different indications for delivery, as this can be a useful in optimizing the method and timing of the induction.
Objective: To examine whether the risk of preeclampsia assessed by the Fetal Medicine Foundation (FMF) algorithm (derived from a combination of maternal risk factors, mean arterial pressure, placental growth factor and soluble fms-like tyrosine kinase-1), associates with the risk of intrapartum fetal compromise requiring cesarean delivery, in a population of singleton pregnancies undergoing labor induction for various indications.
AJOG Glob Rep
February 2025
Mother and Child Welfare Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran (all authors).
Background: Episiotomy has specific indications that, if properly followed, can effectively prevent women from experiencing severe lacerations that may result in significant complications like anal incontinence. However, the risk factors related to episiotomy has been the center of much debate in the medical field in the past few years.
Objective: The present study used a machine learning model to predict the factors that put women at the risk of having episiotomy using intrapartum data.
Arch Public Health
December 2024
Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, 9037, Norway.
Background: The Georgian Birth Registry (GBR) is a comprehensive digital birth registry covering 99.8% of births nationwide. By law, registration in the GBR is mandatory, with data primarily transferred from medical records (MRs) by designated personnel at medical facilities.
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