Literature DB >> 24920154

Are we (mis)guided by current guidelines on intrapartum fetal heart rate monitoring? Case for a more physiological approach to interpretation.

A Ugwumadu1.   

Abstract

Original interpretations of fetal heart rate (FHR) patterns equated FHR decelerations with 'fetal distress', requiring expeditious delivery. This simplistic interpretation is still implied in our clinical guidelines despite 40 years of increasing understanding of the behaviour and regulation of the fetal cardiovascular system during labour. The physiological basis of FHR responses and adaptations to oxygen deprivation is de-emphasised, whilst generations of obstetricians and midwives are trained to focus on, and classify, the morphological appearances of decelerations into descriptive categories, with no attempt to understand how the fetus defends itself and compensates for intrapartum hypoxic ischaemic insults, or the patterns that suggest progressive loss of compensation. Consequently, there is a lack of confidence, marked variation in FHR interpretation, defensive practices, unnecessary operative interventions, and a failure to recognise abnormal FHR patterns, resulting in adverse outcomes and expensive litigation.
© 2014 Royal College of Obstetricians and Gynaecologists.

Entities:  

Keywords:  CTG practice algorithm; deceleration; fetal cardiovascular physiology; intrapartum fetal heart rate monitoring

Mesh:

Year:  2014        PMID: 24920154     DOI: 10.1111/1471-0528.12900

Source DB:  PubMed          Journal:  BJOG        ISSN: 1470-0328            Impact factor:   6.531


  12 in total

Review 1.  The myths and physiology surrounding intrapartum decelerations: the critical role of the peripheral chemoreflex.

Authors:  Christopher A Lear; Robert Galinsky; Guido Wassink; Kyohei Yamaguchi; Joanne O Davidson; Jenny A Westgate; Laura Bennet; Alistair J Gunn
Journal:  J Physiol       Date:  2016-05-27       Impact factor: 5.182

2.  DISCOVERING CAUSALITIES FROM CARDIOTOCOGRAPHY SIGNALS USING IMPROVED CONVERGENT CROSS MAPPING WITH GAUSSIAN PROCESSES.

Authors:  Guanchao Feng; J Gerald Quirk; Petar M Djurić
Journal:  Proc IEEE Int Conf Acoust Speech Signal Process       Date:  2020-05-14

3.  Computer-based intrapartum fetal monitoring and beyond: A review of the 2nd Workshop on Signal Processing and Monitoring in Labor (October 2017, Oxford, UK).

Authors:  Antoniya Georgieva; Patrice Abry; Václav Chudáček; Petar M Djurić; Martin G Frasch; René Kok; Christopher A Lear; Sebastiaan N Lemmens; Inês Nunes; Aris T Papageorghiou; Gerald J Quirk; Christopher W G Redman; Barry Schifrin; Jiri Spilka; Austin Ugwumadu; Rik Vullings
Journal:  Acta Obstet Gynecol Scand       Date:  2019-06-18       Impact factor: 3.636

4.  INFERENCE ABOUT CAUSALITY FROM CARDIOTOCOGRAPHY SIGNALS USING GAUSSIAN PROCESSES.

Authors:  Guanchao Feng; J Gerald Quirk; Petar M Djurić
Journal:  Proc IEEE Int Conf Acoust Speech Signal Process       Date:  2019-04-17

5.  Measurement of fetal parasympathetic activity during labor: a new pathway for evaluation of fetal well-being?

Authors:  L Ghesquière; J De Jonckheere; L Storme; C Garabedian
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2020-12-16       Impact factor: 3.619

Review 6.  Obstetrics at Decisive Crossroads Regarding Pattern-Recognition of Fetal Heart Rate Decelerations: Scientific Principles and Lessons From Memetics.

Authors:  Shashikant L Sholapurkar
Journal:  J Clin Med Res       Date:  2018-02-18

7.  Cardiotocography and Clinical Risk Factors in Early Term Labor: A Retrospective Cohort Study Using Computerized Analysis With Oxford System.

Authors:  Aimée A K Lovers; Austin Ugwumadu; Antoniya Georgieva
Journal:  Front Pediatr       Date:  2022-03-16       Impact factor: 3.418

Review 8.  Categorization of Fetal Heart Rate Decelerations in American and European Practice: Importance and Imperative of Avoiding Framing and Confirmation Biases.

Authors:  Shashikant L Sholapurkar
Journal:  J Clin Med Res       Date:  2015-07-24

9.  Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms.

Authors:  Paul Fergus; Abir Hussain; Dhiya Al-Jumeily; De-Shuang Huang; Nizar Bouguila
Journal:  Biomed Eng Online       Date:  2017-07-06       Impact factor: 2.819

10.  Is perinatal asphyxia predictable?

Authors:  Anna Locatelli; Laura Lambicchi; Maddalena Incerti; Francesca Bonati; Massimo Ferdico; Silvia Malguzzi; Ferruccio Torcasio; Patrizia Calzi; Tiziana Varisco; Giuseppe Paterlini
Journal:  BMC Pregnancy Childbirth       Date:  2020-03-30       Impact factor: 3.007

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