Predicting outcome after acute basilar artery occlusion based on admission characteristics.

Détails

ID Serval
serval:BIB_3835C4009AEC
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Predicting outcome after acute basilar artery occlusion based on admission characteristics.
Périodique
Neurology
Auteur(s)
Greving J.P., Schonewille W.J., Wijman C.A., Michel P., Kappelle L.J., Algra A.
Collaborateur(s)
BASICS Study Group
Contributeur(s)
Weber AM., Donnan GA., Thijs V., Peeters A., de Freitas G., Conforto AB., Miranda-Alves M., Massaro AR., Ijäs P., Bogoslovsky T., Lindsberg PJ., Weimar C., Benemann J., Kraywinkel K., Haverkamp C., Michalski D., Weimar C., Weissenborn K., Goertler M., Kloth A., Bitsch A., Mieck T., Machetanz J., Möller P., Huber R., Kaendler S., Rueckert C., Audebert HJ., Müller R., Vatankhah B., Pfefferkorn T., Mayer TE., Szabo K., Disque C., Busse O., Berger C., Hacke W., Schwammenthal Y., Orion D., Tanne D., Bergui M., Pozzati E., Schonewille WJ., Algra A., Kappelle LJ., Luijckx GJ., Vroomen P., Vergouwen MD., Roos Y., Stam J., Bienfait P., de Leeuw FE. , de Kort P., Dippel D., Baird T., Muir K., Pagola J., Ribo M., Molina C., Gonzales A., Molina C., Norrving B., Arnold M., Fischer U., Gralla J., Mattle H., Schroth G., Michel P., Engelter ST., Wetsel SG., Lyrer PA., Gandjour J., Baumgartner R., Tettenborn B., Hungerbuehler H., Wijman CA., Caulfield AF., Lansberg M., Schwartz N., Venkatasubramanian C., Garami Z., van den Bogaard S., Yatzu F., Grotta J.
ISSN
1526-632X (Electronic)
ISSN-L
0028-3878
Statut éditorial
Publié
Date de publication
2012
Peer-reviewed
Oui
Volume
78
Numéro
14
Pages
1058-1063
Langue
anglais
Notes
Publication types: Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
OBJECTIVE: To develop a simple prognostic model to predict outcome at 1 month after acute basilar artery occlusion (BAO) with readily available predictors.
METHODS: The Basilar Artery International Cooperation Study (BASICS) is a prospective, observational, international registry of consecutive patients who presented with an acute symptomatic and radiologically confirmed BAO. We considered predictors available at hospital admission in multivariable logistic regression models to predict poor outcome (modified Rankin Scale [mRS] score 4-5 or death) at 1 month. We used receiver operator characteristic curves to assess the discriminatory performance of the models.
RESULTS: Of the 619 patients, 429 (69%) had a poor outcome at 1 month: 74 (12%) had a mRS score of 4, 115 (19%) had a mRS score of 5, and 240 (39%) had died. The main predictors of poor outcome were older age, absence of hyperlipidemia, presence of prodromal minor stroke, higher NIH Stroke Scale (NIHSS) score, and longer time to treatment. A prognostic model that combined demographic data and stroke risk factors had an area under the receiver operating characteristic curve (AUC) of 0.64. This performance improved by including findings from the neurologic examination (AUC 0.79) and CT imaging (AUC 0.80). A risk chart showed predictions of poor outcome at 1 month varying from 25 to 96%.
CONCLUSION: Poor outcome after BAO can be reliably predicted by a simple model that includes older age, absence of hyperlipidemia, presence of prodromal minor stroke, higher NIHSS score, and longer time to treatment.
Mots-clé
Adult, Aged, Aged, 80 and over, Arterial Occlusive Diseases/diagnosis, Arterial Occlusive Diseases/mortality, Basilar Artery/pathology, Female, Humans, Logistic Models, Male, Middle Aged, Patient Admission/trends, Predictive Value of Tests, Prospective Studies, Registries, Risk Factors, Treatment Outcome, Young Adult
Pubmed
Web of science
Création de la notice
05/05/2012 16:34
Dernière modification de la notice
03/03/2018 16:08
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