Key result
Heart rate variability analysis provides an objective reflection of the newborn's intrinsic capacity for cardiorespiratory self-regulation and can help identify neonates at high risk for life-threatening events.
Why the study?
Heart rate variability non-invasively assesses autonomic nervous system function, but knowledge regarding its clinical utility in neonatal medicine remains limited.
HRV analysis is a promising non-invasive tool to assess autonomic nervous system maturation in neonates, potentially aiding in the prevention of sudden infant death syndrome and guiding the cessation of cardiorespiratory monitoring.
Should not yet change neonatal monitoring practices; hypothesis-generating for HRV in SIDS risk stratification.
While heart rate variability (HRV) is a relevant non-invasive tool to assess the autonomic nervous system (ANS) functioning with recognized diagnostic and therapeutic implications, the lack of knowledge on its interest in neonatal medicine is certain. This review aims to briefly describe the algorithms used to decompose variations in the length of the RR interval and better understand the physiological autonomic maturation data of the newborn. Assessing newborns' autonomous reactivity can identify dysautonomia situations and discriminate children with a high risk of life-threatening events, which should benefit from cardiorespiratory monitoring at home. Targeted monitoring of HRV should provide an objective reflection of the newborn's intrinsic capacity for cardiorespiratory self-regulation.
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Patural et al. (2022) conducted a review in Neonatal dysautonomia and autonomic nervous system maturation. Heart rate variability (HRV) analysis was evaluated. Heart rate variability analysis provides an objective reflection of the newborn's intrinsic capacity for cardiorespiratory self-regulation and can help identify neonates at high risk for life-threatening events.
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