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      Predicting prognosis after stroke: a placebo group analysis from the National Institute of Neurological Disorders and Stroke rt-PA Stroke Trial.

      Neurology
      Aged, Female, Humans, Male, Models, Neurological, Placebos, Predictive Value of Tests, Prognosis, Sensitivity and Specificity, Stroke, physiopathology

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          Abstract

          Physicians are often asked to predict outcome after acute stroke. Very little information is available that can reliably predict the likelihood of severe disability or death. To develop a practical method for predicting a poor outcome after acute ischemic stroke. Data from the placebo arms of Parts 1 and 2 of the National Institute of Neurological Disorders and Stroke rt-PA [recombinant tissue plasminogen activator] Stroke Trial were used to identify variables that could predict a poor outcome, defined as moderately severe disability, severe disability, or death (Modified Rankin Scale score >3) 3 months after stroke. Baseline variables that predicted poor outcome were the NIH Stroke Scale (NIHSS) >17 plus atrial fibrillation, yielding a positive predictive value (PPV) of 96% (95% CI, 88 to 100%). The best predictor at 24 hours was NIHSS >22, yielding a PPV of 98% (95% CI, 93 to 100%). The best predictor at 7 to 10 days was NIHSS >16, yielding a PPV of 92% (95% CI, 85 to 99%). Patients with a severe neurologic deficit after acute ischemic stroke, as measured by the NIHSS, have a poor prognosis. During the first week after acute ischemic stroke, it is possible to identify a subset of patients who are highly likely to have a poor outcome. These findings require confirmation in a separate study.

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          Author and article information

          Journal
          11061250
          10.1212/WNL.55.7.952

          Chemistry
          Aged,Female,Humans,Male,Models, Neurological,Placebos,Predictive Value of Tests,Prognosis,Sensitivity and Specificity,Stroke,physiopathology

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