Short term heart rate variability in healthy neonates: Normative data and physiological observations

Longin, Elke; Schaible, T; Lenz, Tamara; König, Stephan

doi:10.1016/j.earlhumdev.2005.03.015

Cited by 79 publications

(62 citation statements)

References 27 publications

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“…Incorrectly identified R-peaks were corrected, based on visual inspection (RG). Artefact is an on-going issue for any neonatal recording and periods of clear movement artefact were discarded systematically (32). Following these steps, we regarded the adjusted and corrected RR interval as normalized RR interval (NN interval).…”

Section: Ecg Analysesmentioning

confidence: 99%

Heart rate variability in hypoxic ischemic encephalopathy: correlation with EEG grade and 2-y neurodevelopmental outcome

et al. 2015

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Background:The study aims to describe heart rate variability (HRV) in neonatal hypoxic ischemic encephalopathy (HIE) and correlate HRV with electroencephalographic (EEG) grade of HIE and neurodevelopmental outcome. Methods: Multichannel EEG and electrocardiography (ECG) were assessed at 12-48 h after birth in healthy and encephalopathic full-term neonates. EEGs were graded (normal, mild, moderate, and severe). Neurodevelopmental outcome was assessed at 2 y of age. Seven HRV features were calculated using normalized-RR (NN) interval. The correlation of these features with EEG grade and outcome were measured using Spearman's correlation coefficient. results: HRV was significantly associated with HIE severity (P < 0.05): standard deviation of NN interval (SDNN) (r = −0.62), triangular interpolation of NN interval histogram (TINN) (r = −0.65), mean NN interval (r = −0.48), and the very low frequency (VLF) (r = −0.60), low frequency (LF) (r = −0.67) and high frequency (HF) components of the NN interval (r = −0.60). SDNN at 24 and 48 h were significantly associated (P < 0.05) with neurodevelopmental outcome (r = −0.41 and −0.54, respectively). conclusion: HRV is associated with EEG grade of HIE and neurodevelopmental outcome. HRV has potential as a prognostic tool to complement EEG.

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Section: Ecg Analysesmentioning

confidence: 99%

Heart rate variability in hypoxic ischemic encephalopathy: correlation with EEG grade and 2-y neurodevelopmental outcome

et al. 2015

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“…For example, the HRV parameters among our premature infants were all somewhat lower than those reported by those evaluating HRV in term infants (50,51), consistent with reports that HRV parameters are lower among infants of lower postconceptional age (21,22,25,36,50,(52)(53)(54). Likewise, our results for the values of HRV parameters in pediatric oncology patients are similar to those found in earlier studies (13); values for HRV parameters in oncology patients may be lower than healthy children of similar ages due to cardiac toxicity of anthracycline chemotherapy, pain or other symptoms (55).…”

Section: Hrv Outlier Methodsmentioning

confidence: 44%

Heart Rate Variability: Impact of Differences in Outlier Identification and Management Strategies on Common Measures in Three Clinical Populations

2007

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Heart rate variability (HRV) is reported increasingly in pediatric research, but different strategies used to identify and manage potential outlier beats impact HRV parameter values in adults and animals. Do they in pediatrics? To compare the impact of different strategies to identifying and managing outliers, we used interbeat interval (IBI) data from three different populations: 10 stable premature infants, 33 stable pediatric oncology patients, and 15 healthy adults. Five commonly reported HRV parameters were compared using three identification and two management strategies to filter potential outliers. The three populations had different resting heart rates: 155 Ϯ 9 beats per minute (bpm) in infants, 105 Ϯ 17 bpm in children, and 87 Ϯ 12 bpm in adults. All three identification strategies flagged fewer than 2% of IBIs; the threshold identification strategy, excluding IBIs denoting heart rates Ͻ30 or Ͼ300 bpm, identified significantly fewer outliers than the other two strategies and generated higher HRV parameters in all populations (p Ͻ 0.001). There were no significant differences in HRV parameters calculated by managing identified outliers by "tossing" them versus "interpolating" values. Different strategies for identifying potential outliers are associated with significant differences in HRV parameters. Pediatric researchers who report HRV should detail their outlier filtering strategies. (Pediatr Res 62: 337-342, 2007) H eart rate variability (HRV) measurements are increasingly used by researchers to describe physiology, provide prognostic information, and measure response to therapies (1). HRV is the beat-to-beat variation of the interbeat interval (IBI) of the ECG (ECG). This variability is modulated primarily by the sympathetic and parasympathetic autonomic nervous system (2-4). Methods for calculating time and frequency-domain parameters of HRV were recommended by the Task Force of the European Society of Cardiology (5) and these methods have been widely adopted (6).The SD of the IBI (SDNN) is the most widely used measure of HRV, followed by the root mean square of the difference of successive IBIs (RMSSD). Other commonly used parameters include pNN50 (the percentage of IBIs that differ by more than 50 ms from the previous IBI), and parameters from power spectral analyses based on fast Fourier transformations, particularly low frequency (LF) and high frequency (HF) power. HF oscillations (0.15-0.4 Hz) are thought to be markers of parasympathetic and particularly vagal autonomic tone. LF oscillations (0.04 -0.15 Hz) reflect sympathetic and to a lesser extent, parasympathetic tone (7).Increases in HRV parameters, up to a point, reflect adaptability, resilience and well being, while decreases in HRV reflect rigidity, poor health status and a poor prognosis in both adults and children with a wide variety of clinical conditions (8 -23). In children HRV generally increases between the birth and fourteen years of age as the autonomic nervous system matures (24,25). In adults HRV generally decreases...

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“…Non-invasive measurement of heart rate variability (HRV) has been successfully used to estimate cardiac [20]. However, caution must be taken to adapt this tool for this specific population [24].…”

Section: Discussionmentioning

confidence: 99%

Altered autonomic control in preterm newborns with impaired neurological outcomes

et al. 2015

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Short term heart rate variability in healthy neonates: Normative data and physiological observations

Cited by 79 publications

References 27 publications

Heart rate variability in hypoxic ischemic encephalopathy: correlation with EEG grade and 2-y neurodevelopmental outcome

Heart rate variability in hypoxic ischemic encephalopathy: correlation with EEG grade and 2-y neurodevelopmental outcome

Heart Rate Variability: Impact of Differences in Outlier Identification and Management Strategies on Common Measures in Three Clinical Populations

Altered autonomic control in preterm newborns with impaired neurological outcomes

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