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Article: Early computed tomography features in extensive middle cerebral artery territory infarct: Prediction of survival

TitleEarly computed tomography features in extensive middle cerebral artery territory infarct: Prediction of survival
Authors
Issue Date2005
Citation
Journal of Neurology, Neurosurgery and Psychiatry, 2005, v. 76, n. 3, p. 354-357 How to Cite?
AbstractBackground: To assess the predictive value of prognosis of different computed tomography (CT) features and National Institutes of Health Stroke Scale score (NIHSS) in acute extensive middle cerebral artery (MCA) infarct. Methods: Fifty five patients with acute extensive MCA infarct had the CT performed within 24 hours of the onset of symptoms. A total of 11 CT features were analysed. The age distribution, presence of risk factors, presence of individual CT feature, the total CT score, and the NIHSS were correlated with the 30 day mortality. Results: Single explanatory variable analysis showed NIHSS, presence of midline shift, midline shift of more than 1 cm, extent of infarct, presence of hydrocephalus, effacement of subarachnoid space/cella media, attenuation of corticomedullary differentiation, and total CT score were associated with the 30 day mortality. Both extent of infarct >67% and attenuation of corticomedullary differentiation gave a sensitivity and specificity of 93% and 95%, respectively, for the prediction of survival. Logistic regression analysis showed that the extent of infarct and NIHSS were the only independent predictors. Conclusions: CT features and admission NIHSS are important parameters for prediction of survival in extensive MCA infarct.
Persistent Identifierhttp://hdl.handle.net/10722/325089
ISSN
2023 Impact Factor: 8.7
2023 SCImago Journal Rankings: 2.959
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLam, W. W.M.-
dc.contributor.authorLeung, T. W.H.-
dc.contributor.authorChu, W. C.W.-
dc.contributor.authorYeung, D. T.K.-
dc.contributor.authorWong, L. K.S.-
dc.contributor.authorPoon, W. S.-
dc.date.accessioned2023-02-27T07:29:37Z-
dc.date.available2023-02-27T07:29:37Z-
dc.date.issued2005-
dc.identifier.citationJournal of Neurology, Neurosurgery and Psychiatry, 2005, v. 76, n. 3, p. 354-357-
dc.identifier.issn0022-3050-
dc.identifier.urihttp://hdl.handle.net/10722/325089-
dc.description.abstractBackground: To assess the predictive value of prognosis of different computed tomography (CT) features and National Institutes of Health Stroke Scale score (NIHSS) in acute extensive middle cerebral artery (MCA) infarct. Methods: Fifty five patients with acute extensive MCA infarct had the CT performed within 24 hours of the onset of symptoms. A total of 11 CT features were analysed. The age distribution, presence of risk factors, presence of individual CT feature, the total CT score, and the NIHSS were correlated with the 30 day mortality. Results: Single explanatory variable analysis showed NIHSS, presence of midline shift, midline shift of more than 1 cm, extent of infarct, presence of hydrocephalus, effacement of subarachnoid space/cella media, attenuation of corticomedullary differentiation, and total CT score were associated with the 30 day mortality. Both extent of infarct >67% and attenuation of corticomedullary differentiation gave a sensitivity and specificity of 93% and 95%, respectively, for the prediction of survival. Logistic regression analysis showed that the extent of infarct and NIHSS were the only independent predictors. Conclusions: CT features and admission NIHSS are important parameters for prediction of survival in extensive MCA infarct.-
dc.languageeng-
dc.relation.ispartofJournal of Neurology, Neurosurgery and Psychiatry-
dc.titleEarly computed tomography features in extensive middle cerebral artery territory infarct: Prediction of survival-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1136/jnnp.2003.035055-
dc.identifier.pmid15716525-
dc.identifier.scopuseid_2-s2.0-14544307389-
dc.identifier.volume76-
dc.identifier.issue3-
dc.identifier.spage354-
dc.identifier.epage357-
dc.identifier.isiWOS:000227304800012-

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