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神经外科重症患者生理参数采集与分析的详细方案

A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients.

作者信息

Wu Xiang, Gao Guoyi, Feng Junfeng, Mao Qing, Jiang Jiyao

机构信息

Department of Neurosurgery, Renji Hospital, Shanghai Jiaotong University School of Medicine; Shanghai Institute of Head Trauma.

Department of Neurosurgery, Renji Hospital, Shanghai Jiaotong University School of Medicine; Shanghai Institute of Head Trauma;

出版信息

J Vis Exp. 2017 Oct 17(128):56388. doi: 10.3791/56388.

Abstract

Intracranial pressure (ICP) monitoring is now widely used in neurosurgical critical patients. Besides mean ICP value, the ICP derived parameters such as ICP waveform, amplitude of pulse (AMP), the correlation of ICP amplitude and ICP mean (RAP), pressure reactivity index (PRx), ICP and arterial blood pressure (ABP) wave amplitude correlation (IAAC), and so on, can reflect intracranial status, predict prognosis, and can also be used as guidance of proper treatment. However, most of the clinicians focus only on the mean ICP value while ignoring these parameters because of the limitations of the current devices. We have recently developed a multimodality monitoring system to address these drawbacks. This portable, user-friendly system will use a data collecting and storing device to continuously acquire patients' physiological parameters first, i.e., ABP, ICP, and oxygen saturation, and then analyze these physiological parameters. We hope that the multimodality monitoring system will be accepted as a key measure to monitor physiological parameters, to analyze the current clinical status, and to predict the prognosis of the neurosurgical critical patients.

摘要

颅内压(ICP)监测目前广泛应用于神经外科重症患者。除了平均ICP值外,ICP衍生参数,如ICP波形、脉搏振幅(AMP)、ICP振幅与ICP平均值的相关性(RAP)、压力反应性指数(PRx)、ICP与动脉血压(ABP)波振幅相关性(IAAC)等,能够反映颅内状态,预测预后,还可用于指导恰当治疗。然而,由于现有设备的局限性,大多数临床医生仅关注平均ICP值,而忽略了这些参数。我们最近开发了一种多模态监测系统来解决这些缺点。这个便携式、用户友好的系统将首先使用一个数据采集和存储设备来持续获取患者的生理参数,即ABP、ICP和血氧饱和度,然后分析这些生理参数。我们希望这个多模态监测系统能够被接受为监测生理参数、分析当前临床状态以及预测神经外科重症患者预后的关键措施。

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1
Intracranial pressure wave morphological classification: automated analysis and clinical validation.颅内压波形形态分类:自动分析与临床验证
Acta Neurochir (Wien). 2016 Mar;158(3):581-8; discussion 588. doi: 10.1007/s00701-015-2672-5. Epub 2016 Jan 8.
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Monitoring of intracranial pressure in patients with traumatic brain injury.颅脑创伤患者颅内压监测。
Front Neurol. 2014 Jul 16;5:121. doi: 10.3389/fneur.2014.00121. eCollection 2014.
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Neuroscientist. 2013 Dec;19(6):592-603. doi: 10.1177/1073858412474845. Epub 2013 Feb 6.
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