Patural Hugues, Franco Patricia, Pichot Vincent, Giraud Antoine
Neonatal and Pediatric Intensive Care Department, Centre Hospitalier Universitaire de Saint-Étienne, Saint-Étienne, France.
INSERM, U1059, SAINBIOSE, Université de Lyon, Université Jean-Monnet, Saint-Étienne, France.
Front Pediatr. 2022 Apr 21;10:860145. doi: 10.3389/fped.2022.860145. eCollection 2022.
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.
虽然心率变异性(HRV)是评估自主神经系统(ANS)功能的一种相关非侵入性工具,具有公认的诊断和治疗意义,但在新生儿医学中对其关注度缺乏是肯定的。本综述旨在简要描述用于分解RR间期长度变化的算法,并更好地理解新生儿自主生理成熟数据。评估新生儿的自主反应性可以识别自主神经功能异常情况,并区分有危及生命事件高风险的儿童,这些儿童应受益于家庭心肺监测。对HRV进行有针对性的监测应能客观反映新生儿心肺自我调节的内在能力。