Departments of Neurosurgery, Antwerp University Hospital and University of Antwerp, Antwerp, Belgium.
Minerva Anestesiol. 2012 Aug;78(8):949-58. Epub 2012 May 28.
Current approaches to monitoring in severe traumatic brain injury (TBI) include a wide array of modalities, providing insight into pressure parameters, oxygenation, perfusion, electrophysiology and metabolism of the brain. The intent of "multimodality monitoring" is to obtain a better understanding of what is going on within the brain of an individual patient in order to target treatment more appropriately. In this review we highlight the current status of neuromonitoring for TBI with a specific focus on how advanced analysis and integration of these parameters may be used to implement more personalized treatment approaches. In particular, combining information from different parameters and performing dynamic testing offers the potential to better understand the pathophysiological mechanisms active in the brain of a particular patient. Rather than persisting in a standardized "one size fits all" approach to therapy or continuing down the separate tracts of goal directed therapy, we suggest to think more in terms of "individualized therapeutic strategies" more focused on the specific requirements of each patient. Given the considerable data overload in multimodality monitoring and the complexity in interpretation of signals from multiple sources, specific attention needs to be directed to data processing and user-friendly displays. Intense collaboration and interaction between clinicians, basic researchers, IT-experts, nurses and industry will be required to further advance the fields towards more personalized approaches.
目前,严重创伤性脑损伤(TBI)的监测方法包括多种方式,这些方式可以深入了解压力参数、氧合、灌注、脑电生理和代谢情况。“多模态监测”的目的是更好地了解个体患者大脑内部的情况,以便更准确地进行治疗。在这篇综述中,我们重点介绍了 TBI 的神经监测现状,特别强调了如何通过先进的分析和整合这些参数来实施更个性化的治疗方法。具体来说,结合来自不同参数的信息并进行动态测试,可以更好地了解特定患者大脑中活跃的病理生理机制。我们建议,与其坚持标准化的“一刀切”治疗方法或继续沿着目标导向治疗的单独轨迹走下去,不如更多地考虑“个体化治疗策略”,更关注每个患者的具体需求。鉴于多模态监测中存在大量的数据过载,以及来自多个来源的信号解释的复杂性,需要特别注意数据处理和用户友好的显示。临床医生、基础研究人员、IT 专家、护士和行业之间需要进行深入的合作和互动,才能使这些领域朝着更个性化的方向发展。