P135 SYSTEMIC CARDIOVASCULAR INPUTS IN MODELS ESTIMATING INTRACRANIAL PRESSURE MAGNITUDE AND WAVEFORM

Background: Monitoring Intracranial Pressure (ICP) is key for appropriate clinical treatment of patients with conditions potentially causing raised ICP. The adequacy of using Heart Rate (HR), aortic Blood Pressure (aBP) and carotid Blood Flow (cBF) to estimate ICP magnitude (pulse and mean) and wave...

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Main Authors: Julio A. Lara-Hernández, Isabella Tan, Mark Butlin, Alberto P. Avolio
Format: Article
Language:English
Published: Atlantis Press 2018-12-01
Series:Artery Research
Online Access:https://www.atlantis-press.com/article/125930141/view
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spelling doaj-4a07bf2147bd4facaadb698beac78ca72020-11-25T02:59:24ZengAtlantis PressArtery Research 1876-44012018-12-012410.1016/j.artres.2018.10.188P135 SYSTEMIC CARDIOVASCULAR INPUTS IN MODELS ESTIMATING INTRACRANIAL PRESSURE MAGNITUDE AND WAVEFORMJulio A. Lara-HernándezIsabella TanMark ButlinAlberto P. AvolioBackground: Monitoring Intracranial Pressure (ICP) is key for appropriate clinical treatment of patients with conditions potentially causing raised ICP. The adequacy of using Heart Rate (HR), aortic Blood Pressure (aBP) and carotid Blood Flow (cBF) to estimate ICP magnitude (pulse and mean) and waveform is investigated as an alternative means to invasive ICP measurement. Methods: ICP (sequentially raised from resting ICP to 30–40 mmHg with infusions of artificial intracranial fluid), aBP (lowered with sodium nitroprusside and raised with phenylephrine, 30 μg/kg/min, across a physiological range), HR (paced at 400 and 500 bpm), and cBF were measured in 11 anaesthetised Sprague Dawley rats. Potential cardiovascular predictors of ICP magnitude were assessed by stepwise mixed-model regression. Two transfer function models were constructed to estimate the ICP waveform from aBP or cBF waveforms. Results: Systolic, mean and diastolic aBP as well as peak and minimum cBF had significant predictive value for mean ICP (p < 0.001, R2 = 0.25). HR (p < 0.05), systolic and mean aBP (p < 0.001), peak (p < 0.001), mean (p < 0.05) and minimum (p < 0.01) cBF had significant value for pulse ICP (R2 = 0.35). The transfer function models showed potential to reproduce the ICP waveform (Root Mean Square Error (RMSE)≤4 mmHg), being more accurate for mean aBP above 100 mmHg and mean ICP below 20 mmHg (RMSE ≤ 0.5 mmHg). Conclusions: The models developed from the comprehensive rat experiment demonstrated that systemic cardiovascular measures have predictive value in estimating the ICP magnitude and waveform, but other inputs may be necessary to improve accuracy in estimating ICP across the full physiological range.https://www.atlantis-press.com/article/125930141/view
collection DOAJ
language English
format Article
sources DOAJ
author Julio A. Lara-Hernández
Isabella Tan
Mark Butlin
Alberto P. Avolio
spellingShingle Julio A. Lara-Hernández
Isabella Tan
Mark Butlin
Alberto P. Avolio
P135 SYSTEMIC CARDIOVASCULAR INPUTS IN MODELS ESTIMATING INTRACRANIAL PRESSURE MAGNITUDE AND WAVEFORM
Artery Research
author_facet Julio A. Lara-Hernández
Isabella Tan
Mark Butlin
Alberto P. Avolio
author_sort Julio A. Lara-Hernández
title P135 SYSTEMIC CARDIOVASCULAR INPUTS IN MODELS ESTIMATING INTRACRANIAL PRESSURE MAGNITUDE AND WAVEFORM
title_short P135 SYSTEMIC CARDIOVASCULAR INPUTS IN MODELS ESTIMATING INTRACRANIAL PRESSURE MAGNITUDE AND WAVEFORM
title_full P135 SYSTEMIC CARDIOVASCULAR INPUTS IN MODELS ESTIMATING INTRACRANIAL PRESSURE MAGNITUDE AND WAVEFORM
title_fullStr P135 SYSTEMIC CARDIOVASCULAR INPUTS IN MODELS ESTIMATING INTRACRANIAL PRESSURE MAGNITUDE AND WAVEFORM
title_full_unstemmed P135 SYSTEMIC CARDIOVASCULAR INPUTS IN MODELS ESTIMATING INTRACRANIAL PRESSURE MAGNITUDE AND WAVEFORM
title_sort p135 systemic cardiovascular inputs in models estimating intracranial pressure magnitude and waveform
publisher Atlantis Press
series Artery Research
issn 1876-4401
publishDate 2018-12-01
description Background: Monitoring Intracranial Pressure (ICP) is key for appropriate clinical treatment of patients with conditions potentially causing raised ICP. The adequacy of using Heart Rate (HR), aortic Blood Pressure (aBP) and carotid Blood Flow (cBF) to estimate ICP magnitude (pulse and mean) and waveform is investigated as an alternative means to invasive ICP measurement. Methods: ICP (sequentially raised from resting ICP to 30–40 mmHg with infusions of artificial intracranial fluid), aBP (lowered with sodium nitroprusside and raised with phenylephrine, 30 μg/kg/min, across a physiological range), HR (paced at 400 and 500 bpm), and cBF were measured in 11 anaesthetised Sprague Dawley rats. Potential cardiovascular predictors of ICP magnitude were assessed by stepwise mixed-model regression. Two transfer function models were constructed to estimate the ICP waveform from aBP or cBF waveforms. Results: Systolic, mean and diastolic aBP as well as peak and minimum cBF had significant predictive value for mean ICP (p < 0.001, R2 = 0.25). HR (p < 0.05), systolic and mean aBP (p < 0.001), peak (p < 0.001), mean (p < 0.05) and minimum (p < 0.01) cBF had significant value for pulse ICP (R2 = 0.35). The transfer function models showed potential to reproduce the ICP waveform (Root Mean Square Error (RMSE)≤4 mmHg), being more accurate for mean aBP above 100 mmHg and mean ICP below 20 mmHg (RMSE ≤ 0.5 mmHg). Conclusions: The models developed from the comprehensive rat experiment demonstrated that systemic cardiovascular measures have predictive value in estimating the ICP magnitude and waveform, but other inputs may be necessary to improve accuracy in estimating ICP across the full physiological range.
url https://www.atlantis-press.com/article/125930141/view
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