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Early Postnatal Heart Rate Variability in Healthy Newborn Infants

BACKGROUND: Despite the increasing interest in fetal and neonatal heart rate variability (HRV) analysis and its potential use as a tool for early disease stratification, no studies have previously described the normal trends of HRV in healthy babies during the first hours of postnatal life. METHODS:...

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Autores principales: Oliveira, Vânia, von Rosenberg, Wilhelm, Montaldo, Paolo, Adjei, Tricia, Mendoza, Josephine, Shivamurthappa, Vijayakumar, Mandic, Danilo, Thayyil, Sudhin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6692663/
https://www.ncbi.nlm.nih.gov/pubmed/31440164
http://dx.doi.org/10.3389/fphys.2019.00922
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author Oliveira, Vânia
von Rosenberg, Wilhelm
Montaldo, Paolo
Adjei, Tricia
Mendoza, Josephine
Shivamurthappa, Vijayakumar
Mandic, Danilo
Thayyil, Sudhin
author_facet Oliveira, Vânia
von Rosenberg, Wilhelm
Montaldo, Paolo
Adjei, Tricia
Mendoza, Josephine
Shivamurthappa, Vijayakumar
Mandic, Danilo
Thayyil, Sudhin
author_sort Oliveira, Vânia
collection PubMed
description BACKGROUND: Despite the increasing interest in fetal and neonatal heart rate variability (HRV) analysis and its potential use as a tool for early disease stratification, no studies have previously described the normal trends of HRV in healthy babies during the first hours of postnatal life. METHODS: We prospectively recruited 150 healthy babies from the postnatal ward and continuously recorded their electrocardiogram during the first 24 h after birth. Babies were included if born in good condition and stayed with their mother. Babies requiring any medication or treatment were excluded. Five-minute segments of the electrocardiogram (non-overlapping time-windows) with more than 90% consecutive good quality beats were included in the calculation of hourly medians and interquartile ranges to describe HRV trends over the first 24 h. We used multilevel mixed effects regression with auto-regressive covariance structure for all repeated measures analysis and t-tests to compare group differences. Non-normally distributed variables were log-transformed. RESULTS: Nine out of 16 HRV metrics (including heart rate) changed significantly over the 24 h [Heart rate p < 0.01; Standard deviation of the NN intervals p = 0.01; Standard deviation of the Poincaré plot lengthwise p < 0.01; Cardiac sympathetic index (CSI) p < 0.01; Normalized high frequency power p = 0.03; Normalized low frequency power p < 0.01; Total power p < 0.01; HRV index p = 0.01; Parseval index p = 0.03], adjusted for relevant clinical variables. We observed an increase in several HRV metrics during the first 6 h followed by a gradual normalization by approximately 12 h of age. Between 6 and 12 h of age, only heart rate and the normalized low frequency power changed significantly, while between 12 and 18 h no metric, other than heart rate, changed significantly. Analysis with multilevel mixed effects regression analysis (multivariable) revealed that gestational age, reduced fetal movements, cardiotocography and maternal chronic or pregnancy induced illness were significant predictors of several HRV metrics. CONCLUSION: Heart rate variability changes significantly during the first day of life, particularly during the first 6 h. The significant correlations between HRV and clinical risk variables support the hypothesis that HRV is a good indicator of overall wellbeing of a baby and is sensitive to detect birth-related stress and monitor its resolution over time.
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spelling pubmed-66926632019-08-22 Early Postnatal Heart Rate Variability in Healthy Newborn Infants Oliveira, Vânia von Rosenberg, Wilhelm Montaldo, Paolo Adjei, Tricia Mendoza, Josephine Shivamurthappa, Vijayakumar Mandic, Danilo Thayyil, Sudhin Front Physiol Physiology BACKGROUND: Despite the increasing interest in fetal and neonatal heart rate variability (HRV) analysis and its potential use as a tool for early disease stratification, no studies have previously described the normal trends of HRV in healthy babies during the first hours of postnatal life. METHODS: We prospectively recruited 150 healthy babies from the postnatal ward and continuously recorded their electrocardiogram during the first 24 h after birth. Babies were included if born in good condition and stayed with their mother. Babies requiring any medication or treatment were excluded. Five-minute segments of the electrocardiogram (non-overlapping time-windows) with more than 90% consecutive good quality beats were included in the calculation of hourly medians and interquartile ranges to describe HRV trends over the first 24 h. We used multilevel mixed effects regression with auto-regressive covariance structure for all repeated measures analysis and t-tests to compare group differences. Non-normally distributed variables were log-transformed. RESULTS: Nine out of 16 HRV metrics (including heart rate) changed significantly over the 24 h [Heart rate p < 0.01; Standard deviation of the NN intervals p = 0.01; Standard deviation of the Poincaré plot lengthwise p < 0.01; Cardiac sympathetic index (CSI) p < 0.01; Normalized high frequency power p = 0.03; Normalized low frequency power p < 0.01; Total power p < 0.01; HRV index p = 0.01; Parseval index p = 0.03], adjusted for relevant clinical variables. We observed an increase in several HRV metrics during the first 6 h followed by a gradual normalization by approximately 12 h of age. Between 6 and 12 h of age, only heart rate and the normalized low frequency power changed significantly, while between 12 and 18 h no metric, other than heart rate, changed significantly. Analysis with multilevel mixed effects regression analysis (multivariable) revealed that gestational age, reduced fetal movements, cardiotocography and maternal chronic or pregnancy induced illness were significant predictors of several HRV metrics. CONCLUSION: Heart rate variability changes significantly during the first day of life, particularly during the first 6 h. The significant correlations between HRV and clinical risk variables support the hypothesis that HRV is a good indicator of overall wellbeing of a baby and is sensitive to detect birth-related stress and monitor its resolution over time. Frontiers Media S.A. 2019-08-07 /pmc/articles/PMC6692663/ /pubmed/31440164 http://dx.doi.org/10.3389/fphys.2019.00922 Text en Copyright © 2019 Oliveira, von Rosenberg, Montaldo, Adjei, Mendoza, Shivamurthappa, Mandic and Thayyil. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Oliveira, Vânia
von Rosenberg, Wilhelm
Montaldo, Paolo
Adjei, Tricia
Mendoza, Josephine
Shivamurthappa, Vijayakumar
Mandic, Danilo
Thayyil, Sudhin
Early Postnatal Heart Rate Variability in Healthy Newborn Infants
title Early Postnatal Heart Rate Variability in Healthy Newborn Infants
title_full Early Postnatal Heart Rate Variability in Healthy Newborn Infants
title_fullStr Early Postnatal Heart Rate Variability in Healthy Newborn Infants
title_full_unstemmed Early Postnatal Heart Rate Variability in Healthy Newborn Infants
title_short Early Postnatal Heart Rate Variability in Healthy Newborn Infants
title_sort early postnatal heart rate variability in healthy newborn infants
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6692663/
https://www.ncbi.nlm.nih.gov/pubmed/31440164
http://dx.doi.org/10.3389/fphys.2019.00922
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