Key result
Nonlinear analysis and fractal dimension show potential as clinical biomarkers for interpreting ICP signals.
Why the study?
Current mathematical analysis techniques for intracranial pressure waveforms remain largely limited to research applications and their clinical utility is not well established.
Advanced mathematical techniques, such as nonlinear analysis and fractal dimension, may provide clinically meaningful predictive biomarkers for interpreting intracranial pressure waveforms.
Answers are grounded in this paper and cite their sources.
Should not alter ICP monitoring practice; leaves open prospective validation of nonlinear biomarkers.
The monitoring of intracranial pressure (ICP) is an important tool in medicine for its ability to portray the brain's compliance status. The bedside monitor displays the ICP waveform and intermittent mean values to guide physicians in the management of patients, particularly those having sustained a traumatic brain injury. Researchers in the fields of engineering and physics have investigated various mathematical analysis techniques applicable to the waveform in order to extract additional diagnostic and prognostic information, although they largely remain limited to research applications. The purpose of this review is to present the current techniques used to monitor and interpret ICP and explore the potential of using advanced mathematical techniques to provide information about system perturbations from states of homeostasis. We discuss the limits of each proposed technique and we propose that nonlinear analysis could be a reliable approach to describe ICP signals over time, with the fractal dimension as a potential predictive clinically meaningful biomarker. Our goal is to stimulate translational research that can move modern analysis of ICP using these techniques into widespread practical use, and to investigate to the clinical utility of a tool capable of simplifying multiple variables obtained from various sensors.
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Ieva et al. (2013) conducted a review in Traumatic brain injury / Intracranial pressure monitoring. Mathematical analysis techniques for ICP waveform was evaluated. Advanced mathematical techniques, particularly nonlinear analysis and fractal dimension, have the potential to serve as clinically meaningful biomarkers for interpreting intracranial pressure signals.
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