Patural Hugues, Pichot Vincent, Roche Frédéric, Giraud Antoine
Neonatal and Pediatric Intensive Care Unit, Centre Hospitalier Universitaire de Saint-Étienne, F-42023, Saint-Étienne, France; Université Jean Monnet Saint-Étienne, INSERM, SAINBIOSE U1059, F-42023, Saint-Étienne, France.
Université Jean Monnet Saint-Étienne, INSERM, SAINBIOSE U1059, F-42023, Saint-Étienne, France.
Neurophysiol Clin. 2023 Apr;53(2):102855. doi: 10.1016/j.neucli.2023.102855. Epub 2023 Mar 23.
The evaluation of the autonomic reactivity of newborns by heart rate variability (HRV) analysis is a simple and essential aid to identifying pathological situations of dysautonomia. Thanks to this relatively simple and reproducible analytic tool, the pediatrician can identify and target children at high risk of life-threatening events, i.e., those with insufficient intrinsic capacity for cardiorespiratory self-regulation, who should benefit from close cardiorespiratory monitoring. Different mathematical algorithms integrate delayed or real-time variations in the length of the RR interval to better understand the state of autonomic maturation of the newborn. HRV analysis, as a non-invasive tool for assessing autonomic balance, is essential to assess the functioning of the autonomic nervous system and, more specifically, parasympathetic/sympathetic balance. Despite many recognized diagnostic and therapeutic implications, its application to neonatal medicine is not yet well understood.
通过心率变异性(HRV)分析评估新生儿的自主反应性,是识别自主神经功能异常病理情况的一种简单且重要的辅助手段。借助这一相对简单且可重复的分析工具,儿科医生能够识别并锁定有生命危险事件高风险的儿童,即那些心肺自我调节内在能力不足的儿童,他们应受益于密切的心肺监测。不同的数学算法整合RR间期长度的延迟或实时变化,以更好地了解新生儿自主成熟的状态。HRV分析作为评估自主平衡的非侵入性工具,对于评估自主神经系统的功能,更具体地说是副交感神经/交感神经平衡至关重要。尽管有许多公认的诊断和治疗意义,但其在新生儿医学中的应用尚未得到充分理解。