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一种用于新生儿重症监护病房的基于心动过缓的应激计算器:一种多系统方法。

A Bradycardia-Based Stress Calculator for the Neonatal Intensive Care Unit: A Multisystem Approach.

作者信息

Lavanga Mario, Bollen Bieke, Jansen Katrien, Ortibus Els, Naulaers Gunnar, Van Huffel Sabine, Caicedo Alexander

机构信息

Division STADIUS, Department of Electrical Engineering (ESAT), KU Leuven, Leuven, Belgium.

Department of Development and Regeneration, Faculty of Medicine, KU Leuven, Belgium.

出版信息

Front Physiol. 2020 Jun 26;11:741. doi: 10.3389/fphys.2020.00741. eCollection 2020.

Abstract

Early life stress in the neonatal intensive care unit (NICU) can predispose premature infants to adverse health outcomes and neurodevelopment delays. Hands-on-care and procedural pain might induce apneas, hypoxic events, and sleep-wake disturbances, which can ultimately impact maturation, but a data-driven method based on physiological fingerprints to quantify early-life stress does not exist. This study aims to provide an automatic stress detector by investigating the relationship between bradycardias, hypoxic events and perinatal stress in NICU patients. EEG, ECG, and were recorded from 136 patients for at least 3 h in three different monitoring groups. In these subjects, the stress burden was assessed using the Leuven Pain Scale. Different subspace linear discriminant analysis models were designed to detect the presence or the absence of stress based on information in each bradycardic spell. The classification shows an area under the curve in the range [0.80-0.96] and a kappa score in the range [0.41-0.80]. The results suggest that stress seems to increase desaturations and EEG regularity as well as the interaction between the cardiovascular and neurological system. It might be possible that stress load enhances the reaction to respiratory abnormalities, which could ultimately impact the neurological and behavioral development.

摘要

新生儿重症监护病房(NICU)中的早期生活应激可能使早产儿易出现不良健康后果和神经发育延迟。实际护理和程序性疼痛可能会诱发呼吸暂停、缺氧事件和睡眠-觉醒障碍,最终可能影响发育,但目前尚不存在基于生理特征来量化早期生活应激的数据驱动方法。本研究旨在通过调查NICU患者心动过缓、缺氧事件与围产期应激之间的关系,提供一种自动应激探测器。在三个不同的监测组中,对136名患者进行了至少3小时的脑电图(EEG)、心电图(ECG)记录。在这些受试者中,使用鲁汶疼痛量表评估应激负担。设计了不同的子空间线性判别分析模型,以根据每次心动过缓发作中的信息检测应激的存在与否。分类结果显示曲线下面积在[0.80 - 0.96]范围内,kappa评分在[0.41 - 0.80]范围内。结果表明,应激似乎会增加血氧饱和度下降和脑电图规律性,以及心血管系统和神经系统之间的相互作用。应激负荷可能会增强对呼吸异常的反应,最终可能影响神经和行为发育。

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