Literature DB >> 9416805

Contribution of mathematical modelling to the interpretation of bedside tests of cerebrovascular autoregulation.

M Czosnyka1, S Piechnik, H K Richards, P Kirkpatrick, P Smielewski, J D Pickard.   

Abstract

OBJECTIVES: Cerebral haemodynamic responses to short and longlasting episodes of decreased cerebral perfusion pressure contain information about the state of autoregulation of cerebral blood flow. Mathematical simulation may help to elucidate which of the indices, that can be derived using transcranial Doppler ultrasonography and trends of intracranial pressure and blood pressure, are useful in clinical tests of autoregulatory reserve.
METHODS: Time dependent interactions between pressure, flow, and volume of cerebral blood and CSF were modelled using a set of non-linear differential equations. The model simulates changes in arterial blood inflow and storage, arteriolar and capillary blood flow controlled by cerebral autoregulation, venous blood storage and venous outflow modulated by changes in ICP, and CSF storage and reabsorption. The model was used to simulate patterns of blood flow during either short or longlasting decreases in cerebral perfusion pressure. These simulations can be considered as clinically equivalent to a short compression of the common carotid artery, systemic hypotension, and intracranial hypertension. Simulations were performed in autoregulating and non-autoregulating systems and compared with recordings obtained in patients.
RESULTS: After brief compression of the common carotid artery, a subsequent transient hyperaemia can be interpreted as evidence of intact autoregulation. During longlasting sustained hypoperfusion, a gradual increase in the systolic value of the blood flow velocity waveform along with a decrease in the diastolic value is specific for an autoregulating cerebrovascular system.
CONCLUSION: Modelling studies help to interpret both clinical and experimental cerebral haemodynamic phenomena and their dependence on the state of autoregulation.

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Year:  1997        PMID: 9416805      PMCID: PMC2169860          DOI: 10.1136/jnnp.63.6.721

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  36 in total

1.  Cerebral autoregulation in unconscious patients with brain injury.

Authors:  G E Cold; F T Jensen
Journal:  Acta Anaesthesiol Scand       Date:  1978       Impact factor: 2.105

2.  Cranial and spinal components of the cerebrospinal fluid pressure-volume curve.

Authors:  J Löfgren; N N Zwetnow
Journal:  Acta Neurol Scand       Date:  1973       Impact factor: 3.209

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Authors:  A M Harper; H I Glass
Journal:  J Neurol Neurosurg Psychiatry       Date:  1965-10       Impact factor: 10.154

4.  Responses of cerebral arteries and arterioles to acute hypotension and hypertension.

Authors:  H A Kontos; E P Wei; R M Navari; J E Levasseur; W I Rosenblum; J L Patterson
Journal:  Am J Physiol       Date:  1978-04

5.  Experimental cerebral hemodynamics. Vasomotor tone, critical closing pressure, and vascular bed resistance.

Authors:  R C Dewey; H P Pieper; W E Hunt
Journal:  J Neurosurg       Date:  1974-11       Impact factor: 5.115

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Authors:  J D Miller; D P Becker
Journal:  J R Coll Surg Edinb       Date:  1982-09

7.  Effect of contrast material, hypercapnia, hyperventilation, hypertonic glucose and papaverine on the diameter of the cerebral arteries. Angiographic determination in man.

Authors:  P Huber; J Handa
Journal:  Invest Radiol       Date:  1967 Jan-Feb       Impact factor: 6.016

8.  CSF hydrodynamic studies in man. 2 . Normal hydrodynamic variables related to CSF pressure and flow.

Authors:  J Ekstedt
Journal:  J Neurol Neurosurg Psychiatry       Date:  1978-04       Impact factor: 10.154

9.  Cerebrospinal fluid pulse waveform as an indicator of cerebral autoregulation.

Authors:  H D Portnoy; M Chopp; C Branch; M B Shannon
Journal:  J Neurosurg       Date:  1982-05       Impact factor: 5.115

10.  Autoregulation and CO2 responses of cerebral blood flow in patients with acute severe head injury.

Authors:  E M Enevoldsen; F T Jensen
Journal:  J Neurosurg       Date:  1978-05       Impact factor: 5.115

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  43 in total

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4.  Plateau waves: changes of cerebrovascular pressure transmission.

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5.  Estimation of hidden state variables of the intracranial system using constrained nonlinear Kalman filters.

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6.  Assessment of cerebrovascular resistance with model of cerebrovascular pressure transmission.

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Review 7.  Model-based indices describing cerebrovascular dynamics.

Authors:  Georgios V Varsos; Magdalena Kasprowicz; Peter Smielewski; Marek Czosnyka
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8.  Fixed Compared With Autoregulation-Oriented Blood Pressure Thresholds After Mechanical Thrombectomy for Ischemic Stroke.

Authors:  Nils H Petersen; Andrew Silverman; Sumita M Strander; Sreeja Kodali; Anson Wang; Lauren H Sansing; Joseph L Schindler; Guido J Falcone; Emily J Gilmore; Adam S Jasne; Branden Cord; Ryan M Hebert; Michele Johnson; Charles C Matouk; Kevin N Sheth
Journal:  Stroke       Date:  2020-02-12       Impact factor: 7.914

9.  Cerebral Autoregulation Real-Time Monitoring.

Authors:  Adi Tsalach; Eliahu Ratner; Stas Lokshin; Zmira Silman; Ilan Breskin; Nahum Budin; Moshe Kamar
Journal:  PLoS One       Date:  2016-08-29       Impact factor: 3.240

10.  Intraaortic Balloon Pump Counterpulsation and Cerebral Autoregulation: an observational study.

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Journal:  BMC Anesthesiol       Date:  2010-03-12       Impact factor: 2.217

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