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. 2015 Mar 19;10(3):e0120146.
doi: 10.1371/journal.pone.0120146. eCollection 2015.

A non-invasive method to assess cerebral perfusion pressure in geriatric patients with suspected cerebrovascular disease

Bo Liu  1 , Qi Li  2 , Kewei Li  3 , Nan Deng  4 , Peng He  5 , Chunchang Qin  6 , Deyu Yang  1 , Zhiwei Li  4 , Peng Xie  7
Affiliations

A non-invasive method to assess cerebral perfusion pressure in geriatric patients with suspected cerebrovascular disease

Bo Liu et al. PLoS One. .

Abstract

Background: Cerebral perfusion pressure (CPP) can adversely impact cerebrovascular hemodynamics but cannot be practically measured in most clinical settings. Here, we aimed to establish a representative mathematical model for CPP in geriatric patients with suspected cerebrovascular disease.

Methods: A total of 100 patients (54 males and 46 females between 60-80 years of age) with suspected cerebrovascular disease and no obvious cerebrovascular stenosis were selected for invasive CPP monitoring via catheterization of the middle segment of the common carotid arteries and openings of the vertebral arteries bilaterally. Curves were function-fitted using MATLAB 7.0, and data was statistically processed by SPSS 20.0.

Results: MATLAB 7.0 constructed eighth-order Fourier functions that fit all recorded CPP curves. Since the coefficients of the 100 functions were significantly different, all functions were standardized to derive one representative function. By manipulating the heart rate and maximum/minimum CPP of the representative function, estimated CPP curves can be constructed for patients with differing heart rates, intracranial pressures (ICPs) and blood pressures.

Conclusions: CPP can be well-modeled through an eighth-order Fourier function that can be constructed from a patient's brachial artery blood pressure (BABP), ICP and heart rate. This function is representative of geriatric patients with cerebrovascular disease and can be used in the future study of cerebral hemodynamics.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. A function travels within bandwidth of another function.
Fig 2
Fig 2. Application of MATLAB 7.0,Photoshop 7.0.1 and GetData Graph Digitizer 2.25 to construct a Fourier function fitting a CPP curve.
Fig 3
Fig 3. A CPP curve displays the characteristic “N” and “И”.
Fig 4
Fig 4. Standardization of CPP curves(A);Representative Fourier function f 0 (t) (in red) matches with the overall trend of the 100 fitted functions after standardization (B).
Fig 5
Fig 5. Graphical comparison of f 0 (t) and f x (t).
See this image and copyright information in PMC

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