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Changing Perspectives of Electronic Fetal Monitoring

The delivery of healthy babies is the primary goal of obstetric care. Many technologies have been developed to reduce both maternal and fetal risks for poor outcomes. For 50 years, electronic fetal monitoring (EFM) has been used extensively in labor attempting to prevent a large proportion of neonat...

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Autores principales: Evans, Mark I., Britt, David W., Evans, Shara M., Devoe, Lawrence D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522858/
https://www.ncbi.nlm.nih.gov/pubmed/34664218
http://dx.doi.org/10.1007/s43032-021-00749-2
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author Evans, Mark I.
Britt, David W.
Evans, Shara M.
Devoe, Lawrence D.
author_facet Evans, Mark I.
Britt, David W.
Evans, Shara M.
Devoe, Lawrence D.
author_sort Evans, Mark I.
collection PubMed
description The delivery of healthy babies is the primary goal of obstetric care. Many technologies have been developed to reduce both maternal and fetal risks for poor outcomes. For 50 years, electronic fetal monitoring (EFM) has been used extensively in labor attempting to prevent a large proportion of neonatal encephalopathy and cerebral palsy. However, even key opinion leaders admit that EFM has mostly failed to achieve this goal. We believe this situation emanates from a fundamental misunderstanding of differences between screening and diagnostic tests, considerable subjectivity and inter-observer variability in EFM interpretation, failure to address the pathophysiology of fetal compromise, and a tunnel vision focus. To address these suboptimal results, several iterations of increasingly sophisticated analyses have intended to improve the situation. We believe that part of the continuing problem is that the focus of EFM has been too narrow ignoring important contextual issues such as maternal, fetal, and obstetrical risk factors, and increased uterine contraction frequency. All of these can significantly impact the application of EFM to intrapartum care. We have recently developed a new clinical approach, the Fetal Reserve Index (FRI), contextualizing EFM interpretation. Our data suggest the FRI is capable of providing higher accuracy and earlier detection of emerging fetal compromise. Over time, artificial intelligence/machine learning approaches will likely improve measurements and interpretation of FHR characteristics and other relevant variables. Such future developments will allow us to develop more comprehensive models that increase the interpretability and utility of interfaces for clinical decision making during the intrapartum period.
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spelling pubmed-85228582021-10-20 Changing Perspectives of Electronic Fetal Monitoring Evans, Mark I. Britt, David W. Evans, Shara M. Devoe, Lawrence D. Reprod Sci Pregnancy: Review (Invited) The delivery of healthy babies is the primary goal of obstetric care. Many technologies have been developed to reduce both maternal and fetal risks for poor outcomes. For 50 years, electronic fetal monitoring (EFM) has been used extensively in labor attempting to prevent a large proportion of neonatal encephalopathy and cerebral palsy. However, even key opinion leaders admit that EFM has mostly failed to achieve this goal. We believe this situation emanates from a fundamental misunderstanding of differences between screening and diagnostic tests, considerable subjectivity and inter-observer variability in EFM interpretation, failure to address the pathophysiology of fetal compromise, and a tunnel vision focus. To address these suboptimal results, several iterations of increasingly sophisticated analyses have intended to improve the situation. We believe that part of the continuing problem is that the focus of EFM has been too narrow ignoring important contextual issues such as maternal, fetal, and obstetrical risk factors, and increased uterine contraction frequency. All of these can significantly impact the application of EFM to intrapartum care. We have recently developed a new clinical approach, the Fetal Reserve Index (FRI), contextualizing EFM interpretation. Our data suggest the FRI is capable of providing higher accuracy and earlier detection of emerging fetal compromise. Over time, artificial intelligence/machine learning approaches will likely improve measurements and interpretation of FHR characteristics and other relevant variables. Such future developments will allow us to develop more comprehensive models that increase the interpretability and utility of interfaces for clinical decision making during the intrapartum period. Springer International Publishing 2021-10-18 /pmc/articles/PMC8522858/ /pubmed/34664218 http://dx.doi.org/10.1007/s43032-021-00749-2 Text en © Society for Reproductive Investigation 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Pregnancy: Review (Invited)
Evans, Mark I.
Britt, David W.
Evans, Shara M.
Devoe, Lawrence D.
Changing Perspectives of Electronic Fetal Monitoring
title Changing Perspectives of Electronic Fetal Monitoring
title_full Changing Perspectives of Electronic Fetal Monitoring
title_fullStr Changing Perspectives of Electronic Fetal Monitoring
title_full_unstemmed Changing Perspectives of Electronic Fetal Monitoring
title_short Changing Perspectives of Electronic Fetal Monitoring
title_sort changing perspectives of electronic fetal monitoring
topic Pregnancy: Review (Invited)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522858/
https://www.ncbi.nlm.nih.gov/pubmed/34664218
http://dx.doi.org/10.1007/s43032-021-00749-2
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