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Vol 9, No 2 (2007)
Prace poglądowe
Published online: 2007-07-09
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Computer-aided decision support system for treatment in acute ischemic stroke: integration of clinical, laboratory and neuroimaging data

Radosław Kaźmierski, Agnieszka Hellmann, Dagmara Adamczewska-Kociałkowska, Agnieszka Wencel-Warot, Marcin Kmiećkowiak, Wojciech Kozubski
Udar Mózgu. Problemy Interdyscyplinarne 2007;9(2):58-66.

open access

Vol 9, No 2 (2007)
Prace poglądowe
Published online: 2007-07-09

Abstract

Early treatment using thrombolytic therapy decreases the risk of death and disability in ischemic stroke patients, however it has to be applied up to 3 hours from symptoms onset and carries the risk of hemorrhagic complications associated with worse outcome. Now we still have not got a reliable tools that allow us to enables benefit/risk assessment of the thrombolytic treatment. In view of the above, elaboration of the prognostic system, enabling rapid and reliable evaluation of the success and risk of therapy complications is crucial at present for the effective treatment of ischemic stroke on the wider scale. The most important factors that could be useful in construction of the prognostic instrument should be assessed at admission to hospital emergency room within first hours of stroke onset. The predictive system should include: clinical score scales, laboratory results, neuroradiological tests, and novel biological markers of the early brain and blood-brain barrier damage. This article reviews the recent knowledge of factors that could be included in the predictive system. On the basis of review of the current studies the most important factors, with proven impact on stroke prognosis, seem to be: patients’ age and gender, clinical score scales (in particular National Institutes of Health Stroke Scale and Glasgow Coma Scale), blood pressure, the laboratory results, as: white blood cell count, glucose and C-reactive protein concentrations, and comorbidities diagnosed at admission. Dataset will also include novel techniques of head computed tomography and magnetic resonance imaging acquired at admission to hospital.

Abstract

Early treatment using thrombolytic therapy decreases the risk of death and disability in ischemic stroke patients, however it has to be applied up to 3 hours from symptoms onset and carries the risk of hemorrhagic complications associated with worse outcome. Now we still have not got a reliable tools that allow us to enables benefit/risk assessment of the thrombolytic treatment. In view of the above, elaboration of the prognostic system, enabling rapid and reliable evaluation of the success and risk of therapy complications is crucial at present for the effective treatment of ischemic stroke on the wider scale. The most important factors that could be useful in construction of the prognostic instrument should be assessed at admission to hospital emergency room within first hours of stroke onset. The predictive system should include: clinical score scales, laboratory results, neuroradiological tests, and novel biological markers of the early brain and blood-brain barrier damage. This article reviews the recent knowledge of factors that could be included in the predictive system. On the basis of review of the current studies the most important factors, with proven impact on stroke prognosis, seem to be: patients’ age and gender, clinical score scales (in particular National Institutes of Health Stroke Scale and Glasgow Coma Scale), blood pressure, the laboratory results, as: white blood cell count, glucose and C-reactive protein concentrations, and comorbidities diagnosed at admission. Dataset will also include novel techniques of head computed tomography and magnetic resonance imaging acquired at admission to hospital.
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Keywords

stroke; prognostic system; risk factors; thrombolytic therapy

About this article
Title

Computer-aided decision support system for treatment in acute ischemic stroke: integration of clinical, laboratory and neuroimaging data

Journal

Interdisciplinary Problems of Stroke

Issue

Vol 9, No 2 (2007)

Pages

58-66

Published online

2007-07-09

Bibliographic record

Udar Mózgu. Problemy Interdyscyplinarne 2007;9(2):58-66.

Keywords

stroke
prognostic system
risk factors
thrombolytic therapy

Authors

Radosław Kaźmierski
Agnieszka Hellmann
Dagmara Adamczewska-Kociałkowska
Agnieszka Wencel-Warot
Marcin Kmiećkowiak
Wojciech Kozubski

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