对临床医生来说,颅内压不仅仅是一个数字。

Giada Cucciolini, Virginia Motroni, Marek Czosnyka
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引用次数: 2

摘要

背景:有创颅内压(ICP)监测是重型颅脑损伤病例的标准做法,可以得出脑灌注压(CPP);icp追踪还可以提供颅内动力学的额外信息,预测颅内高压发作,并为定制治疗设定目标,以防止继发性脑损伤。然而,关于ICP临床管理优势的争议仍在争论中。结果:本文回顾了最近关于ICP的研究,以提高对该主题的理解,并揭示该信号中隐藏的信息,这些信息可能在临床实践中有用。时域和频域分析得到的参数包括补偿储备、自动调节估计、脉冲波形分析和ICP的实时行为。还描述了使用个性化灌注压力目标预测结果和应用量身定制治疗的可能性。结论:颅内压是重型颅脑损伤患者监测的重要信号;床边电脑可以为标准监测提供新的指标,帮助临床管理,建立个性化治疗,并帮助预测结果。工程师和临床医生之间的持续协作以及新技术在医疗保健领域的应用,对于提高当前指标的准确性和实现个性化动态目标的更好护理至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Intracranial pressure for clinicians: it is not just a number.

Intracranial pressure for clinicians: it is not just a number.

Intracranial pressure for clinicians: it is not just a number.

Intracranial pressure for clinicians: it is not just a number.

Background: Invasive intracranial pressure (ICP) monitoring is a standard practice in severe brain injury cases, where it allows to derive cerebral perfusion pressure (CPP); ICP-tracing can also provide additional information about intracranial dynamics, forecast episodes of intracranial hypertension and set targets for a tailored therapy to prevent secondary brain injury. Nevertheless, controversies about the advantages of an ICP clinical management are still debated.

Findings: This article reviews recent research on ICP to improve the understanding of the topic and uncover the hidden information in this signal that may be useful in clinical practice. Parameters derived from time-domain as well as frequency domain analysis include compensatory reserve, autoregulation estimation, pulse waveform analysis, and behavior of ICP in time. The possibility to predict the outcome and apply a tailored therapy using a personalised perfusion pressure target is also described.

Conclusions: ICP is a crucial signal to monitor in severely brain injured patients; a bedside computer can empower standard monitoring giving new metrics that may aid in clinical management, establish a personalized therapy, and help to predict the outcome. Continuous collaboration between engineers and clinicians and application of new technologies to healthcare, is vital to improve the accuracy of current metrics and progress towards better care with individualized dynamic targets.

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