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脑自动调节指数在检测患有缺氧缺血性脑病的新生儿中严重脑损伤的效用因冷却治疗阶段而异。

The Utility of Cerebral Autoregulation Indices in Detecting Severe Brain Injury Varies by Cooling Treatment Phase in Neonates with Hypoxic-Ischemic Encephalopathy.

机构信息

Division of Neonatology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

出版信息

Dev Neurosci. 2022;44(4-5):363-372. doi: 10.1159/000522314. Epub 2022 Jan 31.

Abstract

Identifying the hemodynamic range that best supports cerebral perfusion using near infrared spectroscopy (NIRS) autoregulation monitoring is a potential physiologic marker for neonatal hypoxic-ischemic encephalopathy (HIE) during therapeutic hypothermia. However, an optimal autoregulation monitoring algorithm has not been identified for neonatal clinical medicine. We tested whether the hemoglobin volume phase (HVP), hemoglobin volume (HVx), and pressure passivity index (PPI) identify changes in autoregulation that are associated with brain injury on MRI or death. The HVP measures the phase difference between a NIRS metric of cerebral blood volume, the total hemoglobin (THb), and mean arterial blood pressure (MAP) at the frequency of maximum coherence. The HVx is the correlation coefficient between MAP and THb. The PPI is the percentage of coherent MAP-DHb (difference between oxygenated and deoxygenated hemoglobin, a marker of cerebral blood flow) epochs in a chosen time period. Neonates cooled for HIE were prospectively enrolled in an observational study in two neonatal intensive care units. In analyses adjusted for study site and encephalopathy level, all indices detected relationships between poor autoregulation in the first 6 h after rewarming with a higher injury score on MRI. Only HVx and PPI during hypothermia and the PPI during rewarming identified autoregulatory dysfunction associated with a poor outcome independent of study site and encephalopathy level. Our findings suggest that the accuracy of mathematical autoregulation algorithms in detecting the risk of brain injury or death may depend on temperature and postnatal age. Extending autoregulation monitoring beyond the standard 72 h of therapeutic hypothermia may serve as a method to provide personalized care by assessing the need for and efficacy of future therapies after the hypothermia treatment phase.

摘要

使用近红外光谱(NIRS)自动调节监测来确定最佳的血流动力学范围以支持脑灌注是治疗性低温期间新生儿缺氧缺血性脑病(HIE)的潜在生理标志物。然而,尚未为新生儿临床医学确定最佳的自动调节监测算法。我们测试了血红蛋白体积相位(HVP)、血红蛋白体积(HVx)和压力被动指数(PPI)是否可以识别与 MRI 上的脑损伤或死亡相关的自动调节变化。HVP 测量了 NIRS 脑血流容积指标总血红蛋白(THb)与平均动脉压(MAP)之间的相位差,其频率与最大相干性一致。HVx 是 MAP 和 THb 之间的相关系数。PPI 是选定时间段内相干 MAP-DHb(氧合和去氧血红蛋白之间的差异,是脑血流的标志物)时期的百分比。接受 HIE 冷却的新生儿前瞻性地参加了两个新生儿重症监护病房的观察性研究。在调整了研究地点和脑病水平的分析中,所有指数都检测到在复温后前 6 小时内自动调节不良与 MRI 上更高的损伤评分之间的关系。只有在低温期间的 HVx 和 PPI 以及复温期间的 PPI 可以识别与不良结局相关的自动调节功能障碍,而与研究地点和脑病水平无关。我们的研究结果表明,数学自动调节算法在检测脑损伤或死亡风险的准确性可能取决于温度和产后年龄。将自动调节监测扩展到治疗性低温的标准 72 小时之外,可能成为一种通过评估低温治疗阶段后未来治疗的需求和效果来提供个性化护理的方法。

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