Srikant Rangaraju1, Tudor G Jovin2, Michael Frankel2, Wouter J Schonewille2, Ale Algra2, L Jaap Kappelle2, Raul G Nogueira2. 1. From the Department of Neurology, Emory University Hospital (S.R., M.F., R.G.N.) and Grady Memorial Hospital (S.R., M.F., R.G.N.), Atlanta, GA; Department of Neurology, University of Pittsburgh Medical Center, PA (T.G.J.); Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, The Netherlands (W.J.S., A.A., L.J.K.); Department of Neurology, St Antonius Hospital, Nieuwegein, The Netherlands (W.J.S.); and Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands (A.A.). srangar@emory.edu. 2. From the Department of Neurology, Emory University Hospital (S.R., M.F., R.G.N.) and Grady Memorial Hospital (S.R., M.F., R.G.N.), Atlanta, GA; Department of Neurology, University of Pittsburgh Medical Center, PA (T.G.J.); Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, The Netherlands (W.J.S., A.A., L.J.K.); Department of Neurology, St Antonius Hospital, Nieuwegein, The Netherlands (W.J.S.); and Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands (A.A.).
Abstract
BACKGROUND AND PURPOSE: Accurate long-term outcome prognostication in basilar artery occlusion strokes may guide clinical management in the subacute stage. We determine the prognostic value of the follow-up neurological examination using the National Institutes of Health stroke scale (NIHSS) and identify 24- to 48-hour NIHSS risk categories in basilar artery occlusion patients. METHODS: Participants of an observational registry of radiologically confirmed acute basilar artery occlusion (BASICS [Basilar Artery International Cooperation Study]) with prospectively collected 24- to 48-hour NIHSS and 1-month modified Rankin scale scores were included. Uni- and multivariable modeling were performed to identify independent predictors of poor outcome. Predictive powers of baseline and 24- to 48-hour NIHSS for poor outcome (modified Rankin scale, 4-6) and 1-month mortality were determined by receiver operating characteristic analyses. Classification and regression tree analysis was performed to identify risk groups. RESULTS: Three hundred seventy-six of 619 BASICS participants were included, of whom 65.4% had poor outcome. In multivariable analyses, 24- to 48-hour NIHSS (odds ratio=1.28 [1.21-1.35]), history of minor stroke (odds ratio=2.64 [1.04-6.74], time to treatment >6 hours (odds ratio=3.07 [1.35-6.99]), and age (odds ratio=1.02 [0.99-1.04]) were retained in the final model as predictors of poor outcome. Prognostic power of 24- to 48-hour NIHSS was higher than baseline NIHSS for 1-month poor outcome (area under the curve, 0.92 versus 0.75) and mortality (area under the curve, 0.85 versus 0.72). Classification and regression tree analysis identified five 24- to 48-hour NIHSS risk categories with poor outcome rates of 9.4% (NIHSS 0-4), 36% (NIHSS 5-11), 84.3% (NIHSS 12-22), 96.1% (NIHSS 23-27), and 100% (NIHSS≥28). CONCLUSIONS: Twenty-four- to 48-hour NIHSS accurately predicts 1-month poor outcome and mortality and represents a clinically valuable prognostic tool for the care of basilar artery occlusion patients.
BACKGROUND AND PURPOSE: Accurate long-term outcome prognostication in basilar artery occlusion strokes may guide clinical management in the subacute stage. We determine the prognostic value of the follow-up neurological examination using the National Institutes of Health stroke scale (NIHSS) and identify 24- to 48-hour NIHSS risk categories in basilar artery occlusionpatients. METHODS:Participants of an observational registry of radiologically confirmed acute basilar artery occlusion (BASICS [Basilar Artery International Cooperation Study]) with prospectively collected 24- to 48-hour NIHSS and 1-month modified Rankin scale scores were included. Uni- and multivariable modeling were performed to identify independent predictors of poor outcome. Predictive powers of baseline and 24- to 48-hour NIHSS for poor outcome (modified Rankin scale, 4-6) and 1-month mortality were determined by receiver operating characteristic analyses. Classification and regression tree analysis was performed to identify risk groups. RESULTS: Three hundred seventy-six of 619 BASICS participants were included, of whom 65.4% had poor outcome. In multivariable analyses, 24- to 48-hour NIHSS (odds ratio=1.28 [1.21-1.35]), history of minor stroke (odds ratio=2.64 [1.04-6.74], time to treatment >6 hours (odds ratio=3.07 [1.35-6.99]), and age (odds ratio=1.02 [0.99-1.04]) were retained in the final model as predictors of poor outcome. Prognostic power of 24- to 48-hour NIHSS was higher than baseline NIHSS for 1-month poor outcome (area under the curve, 0.92 versus 0.75) and mortality (area under the curve, 0.85 versus 0.72). Classification and regression tree analysis identified five 24- to 48-hour NIHSS risk categories with poor outcome rates of 9.4% (NIHSS 0-4), 36% (NIHSS 5-11), 84.3% (NIHSS 12-22), 96.1% (NIHSS 23-27), and 100% (NIHSS≥28). CONCLUSIONS: Twenty-four- to 48-hour NIHSS accurately predicts 1-month poor outcome and mortality and represents a clinically valuable prognostic tool for the care of basilar artery occlusionpatients.
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