Literature DB >> 8982908

Computer simulation of cerebrovascular circulation: assessment of intracranial hemodynamics during induction of anesthesia.

A Bekker1, S Wolk, H Turndorf, D Kristol, A Ritter.   

Abstract

OBJECTIVE: The purpose of this project was to develop a computer model of cerebrovascular hemodynamics interacting with a pharmacokinetic drug model to examine the effects of various stimuli on cerebral blood flow and intracranial pressure during anesthesia.
METHODS: The mathematical model of intracranial hemodynamics is a seven-compartment, constant-volume system. A series of resistance relate blood and cerebrospinal fluid fluxes to pressure gradients between compartments. Arterial, venous, and tissue compliance are also included. Autoregulation is modeled by transmural pressure-dependent, arterial-arteriolar resistance. The effect of a drug (thiopental) on cerebrovascular circulation was simulated by a variable arteriolar-capillary resistance. Thiopental concentration was predicted by a three-compartment, pharmacokinetic model. The effect site compartment was included to account for a disequilibrium between drug plasma and biophase concentrations. The model was validated by comparing simulation results with available experimental observations. The simulation program is written in VisSim dynamic simulation language for an IBM-compatible PC.
RESULTS: The model developed was used to calculate the cerebral blood flow and intracranial pressure changes that occur during the induction phase of general anesthesia. Responses to laryngoscopy and intubation were predicted for simulated patients with elevated intracranial pressure and non-autoregulated cerebral circulation. Simulation shows that the induction dose of thiopental reduces intracranial pressure up to 15%. The duration of this effect is limited to less than 3 minutes by rapid redistribution of thiopental and cerebral autoregulation. Subsequent laryngoscopy causes acute intracranial hypertension, exceeding the initial intracranial pressure. Further simulation predicts that this untoward effect can be minimized by an additional dose of thiopental administered immediately prior to intubation.
CONCLUSION: The presented simulation allows comparison of various drug administration schedules to control intracranial pressure and preserve cerebral blood flow during induction of anesthesia. The model developed can be extended to analyze more complex intraoperative events by adding new submodels.

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Year:  1996        PMID: 8982908     DOI: 10.1007/bf02199704

Source DB:  PubMed          Journal:  J Clin Monit        ISSN: 0748-1977


  49 in total

1.  Population pharmacokinetics and pharmacodynamics of thiopental: the effect of age revisited.

Authors:  D R Stanski; P O Maitre
Journal:  Anesthesiology       Date:  1990-03       Impact factor: 7.892

2.  Biomathematics of intracranial CSF and haemodynamics. Simulation and analysis with the aid of a mathematical model.

Authors:  O Hoffmann
Journal:  Acta Neurochir Suppl (Wien)       Date:  1987

3.  Acute intraoperative intracranial hypertension in neurosurgical patients: mechanical and pharmacologic factors.

Authors:  H M Shapiro; S R Wyte; A B Harris; A Galindo
Journal:  Anesthesiology       Date:  1972-10       Impact factor: 7.892

4.  Effect of halothane on intracranial pressure gradients in the presence of intracranial space-occupying lesions.

Authors:  W Fitch; D G McDowall
Journal:  Br J Anaesth       Date:  1971-10       Impact factor: 9.166

5.  Intracranial pressure, mean arterial pressure, and heart rate following midazolam or thiopental in humans with brain tumors.

Authors:  J P Giffin; J E Cottrell; B Shwiry; J Hartung; J Epstein; K Lim
Journal:  Anesthesiology       Date:  1984-05       Impact factor: 7.892

Review 6.  Cerebral autoregulation.

Authors:  O B Paulson; S Strandgaard; L Edvinsson
Journal:  Cerebrovasc Brain Metab Rev       Date:  1990

7.  Increased cerebral and decreased femoral artery blood flow velocities during direct laryngoscopy and tracheal intubation.

Authors:  S S Moorthy; C D Greenspan; S F Dierdorf; S C Hillier
Journal:  Anesth Analg       Date:  1994-06       Impact factor: 5.108

8.  Cardiovascular simulation using a multiple modeling method on a digital computer--simulation of interaction between the cardiovascular system and angiotensin II.

Authors:  T Masuzawa; Y Fukui; N T Smith
Journal:  J Clin Monit       Date:  1992-01

9.  A global mathematical model of the cerebral circulation in man.

Authors:  M Zagzoule; J P Marc-Vergnes
Journal:  J Biomech       Date:  1986       Impact factor: 2.712

10.  Mathematical simulation of cerebral blood flow in focal ischemia.

Authors:  A G Hudetz; J H Halsey; C R Horton; K A Conger; D D Reneau
Journal:  Stroke       Date:  1982 Sep-Oct       Impact factor: 7.914

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  3 in total

1.  A mathematical model of cerebral circulation and oxygen supply.

Authors:  Andreas Jung; Rupert Faltermeier; Ralf Rothoerl; Alexander Brawanski
Journal:  J Math Biol       Date:  2005-09-29       Impact factor: 2.259

Review 2.  Model-based indices describing cerebrovascular dynamics.

Authors:  Georgios V Varsos; Magdalena Kasprowicz; Peter Smielewski; Marek Czosnyka
Journal:  Neurocrit Care       Date:  2014-02       Impact factor: 3.210

3.  A stochastic delay differential model of cerebral autoregulation.

Authors:  Simona Panunzi; Laura D'Orsi; Daniela Iacoviello; Andrea De Gaetano
Journal:  PLoS One       Date:  2015-04-01       Impact factor: 3.240

  3 in total

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