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Optimizing Mean Arterial Pressure in Acutely Comatose Patients Using Cerebral Autoregulation Multimodal Monitoring

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Maintaining mean arterial blood pressure within the optimal range is crucial for comatose patients. Deviations in mean arterial blood pressure, especially prolonged periods outside the optimal range, are linked to increased mortality in neurocritical care.

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Area of Science:

  • Neuroscience
  • Critical Care Medicine
  • Biomedical Engineering

Background:

  • Comatose patients require precise hemodynamic management.
  • Cerebral autoregulation monitoring is vital for optimizing outcomes.
  • Near-infrared spectroscopy (NIRS) offers a noninvasive method for assessing brain physiology.

Purpose of the Study:

  • To investigate the association between deviations from optimal mean arterial blood pressure (MAP) and patient outcomes.
  • To determine if prolonged duration and magnitude of MAP outside the optimal range predict worse outcomes in comatose patients.
  • To evaluate the utility of bedside cerebral autoregulation monitoring using NIRS.

Main Methods:

  • Prospective observational study in a Neurocritical Care Unit.
  • Continuous monitoring of cerebral oximetry index using NIRS for up to 3 days.
  • Calculation of optimal MAP based on the nadir of the cerebral oximetry index.
  • Kaplan-Meier analysis and proportional hazard regression to assess mortality at 3 months.

Main Results:

  • Optimal MAP could be calculated in 97% of the 91 enrolled comatose patients.
  • A duration of MAP outside the optimal range >80% of monitoring time was associated with increased 3-month mortality (aHR, 2.13).
  • An absolute MAP difference from optimal >10 mm Hg was independently associated with increased 3-month mortality (aHR, 2.44).

Conclusions:

  • Comatose neurocritically ill patients with significant deviations in MAP from their optimal range exhibit increased mortality.
  • Noninvasive NIRS-based optimal MAP calculation is feasible and shows promise for guiding therapy in neurocritical care.
  • Targeting optimal MAP may improve outcomes in patients with impaired cerebral autoregulation.