Cerebral Haemodynamic Autoregulatory Information System GUI

Acute Brain injury (ABI) is a devastating event requiring intensive acute treatment and post-injury rehabilitation, both delivered for indeterminate periods of time. For severe ABIs, acute treatment is aimed at stabilizing the patient to prevent secondary brain injury from ischemia and swelling. This requires a balance between adequate levels of cerebral blood flow and safely low intracranial pressure (ICP) - a task normally done by autoregulatory (AR) processes of the brain.

In the absence of normal AR, hemodynamic stability is difficult to maintain because there are no reliable predictors to guide treatment. Thus, guidelines for triage and discharge are somewhat arbitrary for ABI and the need for a Clinical Decision Support (CDS) system for neurotrauma is widely recognized. Prerequisite to a CDS is a large database of patient records and efficient means to extract meaningful information from them.

CHARIS will systematize the analysis of relevant physiological signals, and will embody data-driven algorithms to search for potential predictors of acute clinical events.

急性脑损伤（ABI）是一种灾难性事件，它需要长时间的密集急性治疗和损伤后康复，两者均需在不确定的时间内进行。对于严重的ABI病例，急性治疗的目标是稳定患者状态，以防止因缺血和肿胀导致的继发性脑损伤。这需要在适当的脑血流量和安全的颅内压（ICP）之间取得平衡——一项通常由大脑的自动调节（AR）过程来完成的任务。在没有正常AR的情况下，维持血流动力学稳定变得困难，因为缺乏可靠的预测指标来指导治疗。因此，对于ABI的分级和出院指南具有一定的任意性，而对于神经创伤的 临床决策支持（CDS）系统的需求得到了广泛认可。CDS的前提条件是拥有大量患者记录数据库以及从中高效提取有意义信息的手段。CHARIS系统将系统化分析相关生理信号，并体现数据驱动算法，以寻找急性临床事件潜在预测因子。