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Journal Article
Research Support, Non-U.S. Gov't
Clinical, biochemical and neuroimaging parameters after thrombolytic therapy predict long-term stroke outcome.
European Neurology 2009
INTRODUCTION: We investigated the predictive value of standard neurological evaluation, a commercially available biomarker assay and neuroimaging in the subacute phase for outcome after thrombolytic therapy in ischemic stroke.
METHODS: Thirty-four consecutive ischemic stroke patients were evaluated by means of the NIH Stroke Scale (NIHSS(72)), the Triage(R) Stroke Panel (MMX(72)) and standardized infarct volumetry at 72 h after treatment with intravenous recombinant tissue plasminogen activator or intra-arterial urokinase. Outcome was assessed by the modified Rankin Scale (mRS) at 3 months after the stroke.
RESULTS: NIHSS(72), MMX(72) and infarct volume correlated significantly with the mRS score at month 3 and emerged as independent outcome predictors from logistic regression analysis. NIHSS(72) is the best predictor for outcome, but its accuracy increases by 9 and 6% when combined with MMX(72) and infarct volumetry, respectively. The combined use of NIHSS(72) and MMX(72) allows long-term outcome prediction with 97% accuracy, which is not further improved by infarct volumetry.
CONCLUSIONS: Routine clinical evaluation, bedside testing of biochemical markers by the Triage Stroke Panel and infarct volumetry on neuroimaging at 72 h after thrombolytic therapy are predictors for long-term outcome of ischemic stroke patients. Clinical assessment is the most reliable parameter for outcome prediction, but its predictive value is substantially improved when combined with the biomarker panel.
METHODS: Thirty-four consecutive ischemic stroke patients were evaluated by means of the NIH Stroke Scale (NIHSS(72)), the Triage(R) Stroke Panel (MMX(72)) and standardized infarct volumetry at 72 h after treatment with intravenous recombinant tissue plasminogen activator or intra-arterial urokinase. Outcome was assessed by the modified Rankin Scale (mRS) at 3 months after the stroke.
RESULTS: NIHSS(72), MMX(72) and infarct volume correlated significantly with the mRS score at month 3 and emerged as independent outcome predictors from logistic regression analysis. NIHSS(72) is the best predictor for outcome, but its accuracy increases by 9 and 6% when combined with MMX(72) and infarct volumetry, respectively. The combined use of NIHSS(72) and MMX(72) allows long-term outcome prediction with 97% accuracy, which is not further improved by infarct volumetry.
CONCLUSIONS: Routine clinical evaluation, bedside testing of biochemical markers by the Triage Stroke Panel and infarct volumetry on neuroimaging at 72 h after thrombolytic therapy are predictors for long-term outcome of ischemic stroke patients. Clinical assessment is the most reliable parameter for outcome prediction, but its predictive value is substantially improved when combined with the biomarker panel.
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