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Multimodality Neurosurgical Intensive Care Monitoring  

  • Evolving Standard of Care

    In the 1980's, due in large part to the efforts of Camino Laboratories (later acquired by Integra LifeSciences), the monitoring of intracranial pressure (ICP) became an enduring standard of care in the management of traumatic brain injury.



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    While ICP monitoring is still unquestionably of great value, elevated ICP is a rather late-stage indicator of the patient's status and probable clinical outcome, and much research has been directed to the development of diagnostic tools that will shed more light on intracranial dynamics and hopefully improve management and outcomes.

    Many new sensor technologies which permit the monitoring of important physical and chemical quantities including
    cerebral blood flow (CBF), partial pressures of brain tissue oxygen and carbon dioxide, pH, temperature, and the concentrations of various metabolites and ions via microdialysis, hold great promise in this quest, but to date most have yet to realize their potentials.

    The reason is obvious: the real clinical value of these new data lies not in isolated individual parameters but in the relationships between and among them.




     
     
         
  • True Multimodality Monitoring

  • The simplest example of true multimodality neuromonitoring can be seen in the well known clinical indicator, cerebral autoregulation. Simply put, the normal brain regulates its own blood supply, resulting in relatively constant blood flow (CBF) over a wide range of blood pressure values.The presence or absence of autoregulation in the clinical setting is typically calculated sporadically using time-delayed (by hours or even days) ICP, CBF and BP data recorded in a patient's chart. In contrast, a true multimodality monitor that displays the CBF plotted against the blood pressure or CPP, is actually visualizing, in real-time, this important clinical indicator.
     



    In the same way, many other data relationships may be visualized by consolidating parameters from multiple individual monitoring systems and displaying them, in real-time, in clinically useful formats.

    The result is true multimodality neuromonitoring.

     
         

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