Individualized Care in the Neuro ICU: The Emerging Role of Multimodal Monitoring

Rationale for this growing practice, and our model for introducing it

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By Christopher R. Newey, DO; Pravin George, DO; and Joao Gomes, MD

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Multimodal monitoring (MMM) in the neurointensive care unit — i.e., the continuous, simultaneous evaluation of cerebral and systemic function using different modalities in a single patient — is increasingly utilized in patients with devastating neurologic injuries. The practice is recognized as an “extension of the clinical exam and cognitive skill set of the clinician” and has been advocated as “an important feature of neurocritical care.”1

The goal of MMM is to detect early neurological/physiological changes (i.e., secondary brain injury) before irreversible damage takes place.1,2 This early detection may lead to improved outcomes in brain-injured patients.1,2 The rapid growth of MMM in recent years, reflected in Figure 1, likely stems from its value in the following:1

  • Detecting early neurological worsening before irreversible brain damage develops
  • Individualizing patient care decisions
  • Guiding patient management
  • Monitoring physiologic response to therapy and avoiding adverse effects
  • Enhancing clinicians’ understanding of the pathophysiology of complex disorders
  • Aiding the design and implementation of management protocols
  • Improving neurological outcome and quality of life in survivors of severe brain injury
  • Informing development of new, mechanistically oriented therapies where treatments are lacking or empiric in nature
Growth in publications on multimodal monitoring by year, based on a literature search of multimodal monitoring

Figure 1. Growth in publications on multimodal monitoring by year, based on a literature search of multimodal monitoring. Numbers on the vertical axis indicate the annual number of literature publications on multimodal monitoring.

The challenge of integrating multiple monitoring inputs

Secondary brain injuries are classified as cellular injury cascades and/or secondary brain insults.2 Ischemia — causing excitotoxicity, intracellular calcium influx and free radical membrane damage — is an example of a cellular injury cascade.2 Secondary brain insults are events not tolerated by the injured brain that lead to further injury. Examples of secondary brain insults include hypoxia, hypotension, hypoglycemia, fever, altered cell metabolism and seizures.2

Multiple modalities, both invasive and noninvasive, are used to monitor for secondary brain injuries, including transcranial Doppler (TCD), continuous electroencephalography, computerized quantitative and qualitative pupil assessment (pupillometry), intracranial pressure (ICP) monitoring, brain tissue oxygen tension monitoring, cerebral microdialysis (particularly lactate:pyruvate concentration ratio) and cerebral blood flow measurement. Unfortunately, each of these modalities is monitored on its own proprietary platform and requires manual documentation in the electronic medical record, making real-time assessment and interpretation of large amounts of data challenging.

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The quest for relevant real-time data display

Even though high-resolution data acquisition systems have been developed, our group at Cleveland Clinic firmly believes that optimal data integration and display are lacking. To that end, we have submitted a proposal for internal institutional funding to develop an intuitive interface with bedside clinicians in mind that will display relevant pieces of data in real time with the objective of minimizing alarm and data overload.

Currently, only a small number of centers have integrated MMM into routine patient care, and high-level research on its application has been scarce. Nonetheless, an ongoing phase 3 randomized, multicenter trial is evaluating the impact of monitoring both brain tissue oxygenation and ICP versus monitoring ICP alone, building on an earlier phase 2 trial.3 Similarly, a phase 2 international feasibility study (NCT02982122) is targeting optimal cerebral perfusion pressure in patients with severe brain injuries, with safety and the significance of physiological effects being explored as secondary end points.

Current and emerging efforts at Cleveland Clinic

Cleveland Clinic is now in the process of acquiring TCD-based software (ICM+, Cambridge Enterprise Ltd., Cambridge, UK) that allows for various assessments of cerebrovascular autoregulation and noninvasive ICP monitoring. Along with this, we are developing protocols for routine monitoring of patients with advanced liver failure and encephalopathy in whom invasive probes may be prohibitive. Likewise, we will soon explore cerebral autoregulation in hypertensive patients with spontaneous intracerebral hemorrhage to help determine an individualized optimal blood pressure range, in order to minimize the risk of hematoma expansion while reducing the risk of ischemic stroke associated with a drop in blood pressure. This would represent the first individualized paradigm for management of these brain-injured patients, in contrast to reliance on a one-size-fits-all approach.

We also recently formed a multidisciplinary MMM committee consisting of members with expertise in the various monitoring modalities used in the neurointensive care unit. This committee recently conceived an algorithm to facilitate triage of patients to various levels of MMM based on injury severity and anticipated risk of secondary injury.

Additionally, treatment algorithms for the various monitoring modalities have been created to guide patient care based on available literature. These algorithms will be continuously reviewed and adjusted as needed based on our experience and growing evidence generated by our research and that of others. Use of MMM to systematically identify and manage patients is expected to not only improve our patient care but also expand innovation and research.

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A role for big data?

Finally, we are exploring a collaboration with Microsoft that would allow us to use its computing power, expertise and algorithms to help analyze our large data set and identify clinically relevant patterns and associations that may lead to improved patient outcomes and higher-quality care delivery. Such a collaboration would place Cleveland Clinic among the first centers in the world to systematically apply this technology in patient care and would provide a unique opportunity to advance much-needed research in this area. In the near future, we aim to bring together the fields of large data analysis, artificial intelligence, and individualized care and monitoring to improve the outcomes of critically ill neurology and neurosurgery patients.

References

  1. LeRoux P, Menon DK, Citerio G, et al. Consensus summary statement of the International Multidisciplinary Consensus Conference on Multimodal Monitoring in Neurocritical Care. Neurocrit Care. 2014;21 Suppl 2:S1-S26.
  2. Hemphill C, Andrews P, DeGeorgia M. Multimodal monitoring and neurocritical care bioinformatics. Nat Rev Neurol. 2011;7:451-460.
  3. Okonkwo DO, Shutter LA, Moore C, et al. Brain tissue oxygen monitoring and management in severe traumatic brain injury (BOOST-II): a phase II randomized trial. Crit Care Med. 2017;45:1907-1914.

Drs. Newey and George are neurocritical care specialists in the Neurointensive Care Unit in Cleveland Clinic’s Cerebrovascular Center, and Dr. Gomes is Head of the Neurointensive Care Unit.

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