Variabilidade da frequência cardíaca em neonatos prematuros e de termo

Selig, Fábio Augusto; Tonolli, Emanuele Renata; Silva, Érico Vinícius Campos Moreira da; Godoy, Moacir Fernandes de

doi:10.1590/s0066-782x2011005000059

Cited by 65 publications

(41 citation statements)

References 15 publications

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“…Among the nonlinear variables, Lyapunov Exponent in PTN was significantly different from TN, with P-value < 0.001. Still, regarding absolute values, the TN group had mean LE values closer to 1 than the PTN group; this fact is explained by the probable immaturity of the autonomic nervous system in the PTN group, with more linear time series than the term neonates [28] .…”

Section: Largest Lyapunov Exponent (Lle)mentioning

confidence: 82%

Nonlinear Analysis of Heart Rate Variability: A Comprehensive Review

Godoy¹

2016

Journal of Cardiology and Therapy

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Section: Largest Lyapunov Exponent (Lle)mentioning

confidence: 82%

Nonlinear Analysis of Heart Rate Variability: A Comprehensive Review

Godoy¹

2016

Journal of Cardiology and Therapy

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“…However, it may be influenced by the sympathetic and parasympathetic systems, which are represented by the adrenergic fibers and the vagus nerve, respectively ( VAN LOON, PATTESON, 2010). High HR values in the neonatal period can be explained in part by the immaturity of the autonomic nervous system, with parasympathetic innervation acting in later stages, resulting in a predominantly adrenergic neural control in neonates (BEUCHÉE et al, 2012;FERRER, 1985, SELIG et al, 2011.…”

Section: Discussionmentioning

confidence: 99%

Electrocardiographic evaluation in pregnant mares and neonate foals of Paint Horse breed

Alfonso

Cruz

Gonçalves

et al. 2017

AVB

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Article historyFor the interpretation and evaluation of electrocardiography, it is necessary to know the species' electrocardiographic patterns, as well as the breed and age of the animal. The objective of this study was to describe the electrocardiographic characteristics in neonate foals of Paint Horse breed and in clinically normal pregnant mares. We evaluated 20 animals of each category. The maternal electrocardiographic examinations were performed at 15 and 7 days preterm; the neonatal echocardiographic examinations were performed at birth up to 48 hours postpartum, and thereafter once a week up to 35 days of age. For each electrocardiographic record, the heart rate (HR), cardiac electrical axis, rhythm alterations, wave lengths and amplitudes, and electrocardiographic intervals were analyzed. During the first 48 hours of life of the equine neonate, sinus tachycardia and ventricular arrhythmias were observed. In foals during the first month of age, a predominance of sinus rhythm was observed, with a decrease in HR and R-wave amplitude, and an increase in PR, QT, and RR intervals over the course of days. In pregnant mares, no significant changes were found in the electrocardiographic tracings when compared to that of healthy adult horses. The results of this study demonstrated the influence of age and growth on electrocardiographic parameters.

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“…Thus, the mechanistic basis of AoP may actually involve both peripheral and central components and remains to be resolved. Despite this paucity in mechanistic understanding, altered CRC is readily observed in preterm infants in the form of lower HRV in the high frequency range (Longin et al 2006; Selig et al, 2011). Furthermore, the ratio of high frequency HRV (parasympathetic component) to low frequency HRV (sympathetic component) is smaller compared to term infants (Selig et al, 2011) also supporting the role of sympatho-vagal imbalance altered CRC in AoP.…”

Section: Cardiorespiratory Dysautonomiamentioning

confidence: 99%

Cardiorespiratory coupling in health and disease

Garcia¹,

Koschnitzky²,

Dashevskiy³

et al. 2013

Autonomic Neuroscience

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Cardiac and respiratory activities are intricately linked both functionally as well as anatomically through highly overlapping brainstem networks controlling these autonomic physiologies that are essential for survival. Cardiorespiratory coupling (CRC) has many potential benefits creating synergies that promote healthy physiology. However, when such coupling deteriorates autonomic dysautonomia may ensue. Unfortunately there is still an incomplete mechanistic understanding of both normal and pathophysiological interactions that respectively give rise to CRC and cardiorespiratory dysautonomia. Moreover, there is also a need for better quantitative methods to assess CRC. This review addresses the current understanding of CRC by discussing: (1) the neurobiological basis of respiratory sinus arrhythmia (RSA); (2) various disease states involving cardiorespiratory dysautonomia; and (3) methodologies measuring heart rate variability and RSA.

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Variabilidade da frequência cardíaca em neonatos prematuros e de termo

Cited by 65 publications

References 15 publications

Nonlinear Analysis of Heart Rate Variability: A Comprehensive Review

Nonlinear Analysis of Heart Rate Variability: A Comprehensive Review

Electrocardiographic evaluation in pregnant mares and neonate foals of Paint Horse breed

Cardiorespiratory coupling in health and disease

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