Literature DB >> 18077946

Vasospasm probability index: a combination of transcranial doppler velocities, cerebral blood flow, and clinical risk factors to predict cerebral vasospasm after aneurysmal subarachnoid hemorrhage.

Nestor R Gonzalez1, W John Boscardin, Thomas Glenn, Fernando Vinuela, Neil A Martin.   

Abstract

OBJECT: The goal in this study was to create an index (vasospasm probability index [VPI]) to improve diagnostic accuracy for vasospasm after subarachnoid hemorrhage (SAH).
METHODS: Seven hundred ninety-five patients in whom aneurysmal SAH was demonstrated by computed tomography, and in whom one or more intracranial aneurysms had been diagnosed, underwent transcranial Doppler (TCD) studies between April 1998 and January 2000. In 154 patients angiography was performed within 24 hours of the TCD examination, and in 75 133Xe cerebral blood flow (CBF) studies were obtained the same day. Seven cases were excluded because of a limited sonographic window. Forty-one women (60.3%) and 27 men (39.7%) between the ages of 35 and 84 years (58.0 +/- 13.2 years [mean +/- standard deviation]) were included. Clinical characteristics analyzed included age, sex, Hunt and Hess grade, Fisher grade, days after SAH, day of treatment, type of treatment (coil embolization, surgical clip occlusion, or conservative treatment), smoking history, and hypertension history. Lindegaard ratios and spasm indexes (TCD velocities/hemispheric CBF) were calculated bilaterally. Digital subtraction angiography images were measured at specific points of interest. Sensitivity, specificity, predictive values, and global accuracy of the different tests were calculated. Logistic regression was used to evaluate the possible predictive factors, and the coefficients of the logistic regression were integrated to create the VPI.
RESULTS: In 18 patients (26.5%) symptomatic vasospasm was diagnosed, and 33 (48.5%) had angiographic evidence of vasospasm. For TCD velocities above 120 cm/second at the middle cerebral artery, the global accuracy was 81.1% for the diagnosis of clinical vasospasm and 77.2% for angiographic vasospasm. For a Lindegaard ratio higher than 3.0, the accuracy was 85% for clinical vasospasm and 83.2% for angiographic vasospasm. A spasm index higher than 3.5 had an accuracy of 82.0% for the diagnosis of clinical vasospasm and 81.6% for angiographic vasospasm. The selected model for estimation of clinical vasospasm included Fisher grade, Hunt and Hess grade, and spasm index. The VPI had a global accuracy of 92.9% for clinical vasospasm detection. For diagnosis of angiographic vasospasm, the model included Fisher grade, Hunt and Hess grade, and Lindegaard ratio. The VPI achieved a global accuracy of 89.9% for angiographic vasospasm detection.
CONCLUSIONS: The use of TCD velocities, Lindegaard ratio, and spasm index independently is of limited value for the diagnosis of clinical and angiographic vasospasm. The combination of predictive factors associated with the development of vasospasm in the new index reported here has a significantly superior accuracy compared with the independent tests and may become a valuable tool for the clinician to evaluate the individual probability of cerebral vasospasm after aneurysmal SAH.

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Mesh:

Year:  2007        PMID: 18077946     DOI: 10.3171/JNS-07/12/1101

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  36 in total

1.  Cerebral vasospasm after aneurysmal subarachnoid hemorrhage and traumatic brain injury.

Authors:  Saef Izzy; Susanne Muehlschlegel
Journal:  Curr Treat Options Neurol       Date:  2014-01       Impact factor: 3.598

Review 2.  A Review of the Effectiveness of Neuroimaging Modalities for the Detection of Traumatic Brain Injury.

Authors:  Franck Amyot; David B Arciniegas; Michael P Brazaitis; Kenneth C Curley; Ramon Diaz-Arrastia; Amir Gandjbakhche; Peter Herscovitch; Sidney R Hinds; Geoffrey T Manley; Anthony Pacifico; Alexander Razumovsky; Jason Riley; Wanda Salzer; Robert Shih; James G Smirniotopoulos; Derek Stocker
Journal:  J Neurotrauma       Date:  2015-09-30       Impact factor: 5.269

3.  An extended model of intracranial latency facilitates non-invasive detection of cerebrovascular changes.

Authors:  Shadnaz Asgari; Andrew W Subudhi; Robert C Roach; David S Liebeskind; Marvin Bergsneider; Xiao Hu
Journal:  J Neurosci Methods       Date:  2011-02-15       Impact factor: 2.390

4.  Reproduction of consistent pulse-waveform changes using a computational model of the cerebral circulatory system.

Authors:  Mark Connolly; Xing He; Nestor Gonzalez; Paul Vespa; Joe DiStefano; Xiao Hu
Journal:  Med Eng Phys       Date:  2014-01-03       Impact factor: 2.242

5.  Radiological scales predicting delayed cerebral ischemia in subarachnoid hemorrhage: systematic review and meta-analysis.

Authors:  Wessel E van der Steen; Eva L Leemans; René van den Berg; Yvo B W E M Roos; Henk A Marquering; Dagmar Verbaan; Charles B L M Majoie
Journal:  Neuroradiology       Date:  2019-01-28       Impact factor: 2.804

6.  Regional cerebral blood flow alterations in obstructive sleep apnea.

Authors:  Santosh K Yadav; Rajesh Kumar; Paul M Macey; Heidi L Richardson; Danny J J Wang; Mary A Woo; Ronald M Harper
Journal:  Neurosci Lett       Date:  2013-09-26       Impact factor: 3.046

7.  Beyond delayed cerebral vasospasm: infarct patterns in patients with subarachnoid hemorrhage.

Authors:  M Wagner; P Steinbeis; E Güresir; E Hattingen; R du Mesnil de Rochemont; S Weidauer; J Berkefeld
Journal:  Clin Neuroradiol       Date:  2012-08-23       Impact factor: 3.649

Review 8.  Diagnosis of cerebral vasospasm and risk of delayed cerebral ischemia related to aneurysmal subarachnoid haemorrhage: an overview of available tools.

Authors:  Susanna Bacigaluppi; Gianluigi Zona; Francesca Secci; Gianantonio Spena; Nicola Mavilio; Giulia Brusa; Ronit Agid; Timo Krings; Gianandrea Ottonello; Marco Fontanella
Journal:  Neurosurg Rev       Date:  2015-03-04       Impact factor: 3.042

Review 9.  Transcranial Doppler ultrasonography: From methodology to major clinical applications.

Authors:  Antonello D'Andrea; Marianna Conte; Massimo Cavallaro; Raffaella Scarafile; Lucia Riegler; Rosangela Cocchia; Enrica Pezzullo; Andreina Carbone; Francesco Natale; Giuseppe Santoro; Pio Caso; Maria Giovanna Russo; Eduardo Bossone; Raffaele Calabrò
Journal:  World J Cardiol       Date:  2016-07-26

Review 10.  Brain Multimodality Monitoring: Updated Perspectives.

Authors:  David Roh; Soojin Park
Journal:  Curr Neurol Neurosci Rep       Date:  2016-06       Impact factor: 5.081

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