Introduction: The updated intrapartum cardiotocography (CTG) classification system by FIGO in 2015 (FIGO2015) and the FIGO2015-approached classification by the Swedish Society of Obstetricians and Gynecologist in 2017 (SSOG2017) are not harmonized with the fetal ECG ST analysis (STAN) algorithm from 2007 (STAN2007). The study aimed to reveal homogeneity and agreement between the systems in classifying CTG and ST events, and relate them to maternal and perinatal outcomes.
Material And Methods: Among CTG traces with ST events, 100 traces originally classified as normal, 100 as suspicious and 100 as pathological were randomly selected from a STAN database and classified by two experts in consensus. Homogeneity and agreement statistics between the CTG classifications were performed. Maternal and perinatal outcomes were evaluated in cases with clinically hidden ST data (n = 151). A two-tailed p < 0.05 was regarded as significant.
Results: For CTG classes, the heterogeneity was significant between the old and new systems, and agreements were moderate to strong (proportion of agreement, kappa index 0.70-0.86). Between the new classifications, heterogeneity was significant and agreements strong (0.90, 0.92). For significant ST events, heterogeneities were significant and agreements moderate to almost perfect (STAN2007 vs. FIGO2015 0.86, 0.72; STAN2007 vs. SSOG2017 0.92, 0.84; FIGO2015 vs. SSOG2017 0.94, 0.87). Significant ST events occurred more often combined with STAN2007 than with FIGO2015 classification, but not with SSOG2017; correct identification of adverse outcomes was not significantly different between the systems.
Conclusion: There are discrepancies in the classification of CTG patterns and significant ST events between the old and new systems. The clinical relevance of the findings remains to be shown.
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http://dx.doi.org/10.1111/aogs.13277 | DOI Listing |
BMJ Open
December 2024
THIS Labs, Trumpington Mews, Cambridge, UK.
Objectives: Suboptimal intrapartum electronic fetal heart rate monitoring using cardiotocography has remained a persistent problem (EFM-CTG). We aimed to identify the range of influences on the safety of using EFM-CTG in practice.
Design: Scoping review to identify influences related to the practice of intrapartum EFM.
Eur J Obstet Gynecol Reprod Biol
December 2024
Maternal and Fetal Health Research Centre, Division of Developmental Biology and Medicine, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK; Saint Mary's Hospital, Manchester University NHS Foundation Trust, UK.
Introduction: Fetal scalp blood sampling (FSBS) can be used as an adjunctive test, in the presence of a pathological intrapartum fetal heart rate trace, to provide evidence of fetal acidaemia. The role of FSBS remains controversial, this study evaluates the diagnostic accuracy of FSBS at determining various adverse neonatal outcomes.
Method: A retrospective cohort analysis of FSBS undertaken < 1 h from birth in a single UK centre in 2016 and 2017.
BJOG
January 2025
Academic Department of Obstetrics and Gynaecology, The Coombe Hospital & Trinity College, University of Dublin, Dublin, Ireland.
Objective: To establish whether digital foetal scalp stimulation (dFSS) performs better than foetal blood sampling (FBS) in terms of reducing the rate of caesarean section (CS) in labour, without adversely affecting perinatal outcomes.
Design: A multicentre parallel-group randomised controlled trial.
Setting: Maternity centres in Ireland.
Nat Med
January 2025
Departament de Pediatria, Obstetrícia i Ginecologia i de Medicina Preventiva i Salut Pública, Universitat Autònoma de Barcelona, Bellaterra, Spain.
Small fetuses, with estimated fetal weight (EFW) below the tenth percentile, are classified as fetal growth restriction (FGR) or small for gestational age (SGA) based on prenatal ultrasound. FGR fetuses have a greater risk of stillbirth and perinatal complications and may benefit from serial ultrasound scans to guide early delivery. Abnormal serum angiogenic factors, such as the soluble fms-like tyrosine kinase-1 (sFlt-1):placental growth factor (PlGF) ratio, have shown potential to more accurately distinguish FGR from SGA, with fewer false positives.
View Article and Find Full Text PDFBMC Nurs
January 2025
Faculty of Health Sciences, Department of Midwifery, Üsküdar University, İstanbul, Turkey.
Background: During electronic fetal monitoring, the positions provided to mothers by perinatal nurses and midwives are essential for ensuring maternal comfort, as well as maternal and fetal well-being. This study aimed to investigate the impact of various maternal positions during electronic fetal monitoring on maternal and fetal health.
Methods: This study was conducted in a randomized controlled trial design.
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