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Deriving the PRx and CPPopt from 0.2-Hz Data: Establishing Generalizability to Bedmaster Users.

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Area of Science:

  • Neuroscience
  • Critical Care Medicine
  • Biomedical Engineering

Background:

  • Accurate monitoring of intracranial pressure (ICP) and arterial blood pressure (ABP) is crucial for managing severe brain injury.
  • Cerebral perfusion pressure (CPP) and its optimal value (CPPopt) are key indicators, often derived using the pressure reactivity index (PRx).
  • Industry-parameterized vital signs offer a potential alternative for generating these critical metrics.

Purpose of the Study:

  • To evaluate the validity of using industry-parameterized vital signs to calculate the pressure reactivity index (PRx).
  • To assess the utility of these parameterized vital signs in determining optimal cerebral perfusion pressure (CPPopt).

Main Methods:

  • Analyzed arterial blood pressure (ABP) and intracranial pressure (ICP) data from 10 patients with ICP monitors.
  • Calculated PRx using high-frequency (240 Hz) waveform data and compared it with BMx derived from low-frequency (0.2 Hz) parameterized data.
  • Determined CPPopt by analyzing PRx/BMx values across different CPP bins and assessed correlations using linear mixed-effects models.

Main Results:

  • A strong overall correlation (0.78) was found between PRx and BMx (p < 0.0001).
  • Similarly, CPPopt derived from PRx and BMx showed high correlation (0.76, p < 0.0001).
  • One patient exhibited lower correlation, potentially due to limited data duration.

Conclusions:

  • Parameterized vital signs (BMx) demonstrate significant potential for deriving CPPopt, comparable to the established PRx method.
  • Further development of BMx could enhance the capability of research centers to establish CPPopt targets for clinical trials.
  • This approach may broaden the accessibility of CPPopt monitoring in critical care settings.