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      Magnetic resonance imaging improves 3-month outcome prediction in mild traumatic brain injury : MRI in MTBI

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          Abstract

          To determine the clinical relevance, if any, of traumatic intracranial findings on early head computed tomography (CT) and brain magnetic resonance imaging (MRI) to 3-month outcome in mild traumatic brain injury (MTBI). One hundred thirty-five MTBI patients evaluated for acute head injury in emergency departments of 3 LEVEL I trauma centers were enrolled prospectively. In addition to admission head CT, early brain MRI was performed 12 ± 3.9 days after injury. Univariate and multivariate logistic regression were used to assess for demographic, clinical, socioeconomic, CT, and MRI features that were predictive of Extended Glasgow Outcome Scale (GOS-E) at 3 months postinjury. Twenty-seven percent of MTBI patients with normal admission head CT had abnormal early brain MRI. CT evidence of subarachnoid hemorrhage was associated with a multivariate odds ratio of 3.5 (p = 0.01) for poorer 3-month outcome, after adjusting for demographic, clinical, and socioeconomic factors. One or more brain contusions on MRI, and ≥4 foci of hemorrhagic axonal injury on MRI, were each independently associated with poorer 3-month outcome, with multivariate odds ratios of 4.5 (p = 0.01) and 3.2 (p = 0.03), respectively, after adjusting for head CT findings and demographic, clinical, and socioeconomic factors. In this prospective multicenter observational study, the clinical relevance of abnormal findings on early brain imaging after MTBI is demonstrated. The addition of early CT and MRI markers to a prognostic model based on previously known demographic, clinical, and socioeconomic predictors resulted in a >2-fold increase in the explained variance in 3-month GOS-E. Copyright © 2012 American Neurological Association.

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          • Record: found
          • Abstract: not found
          • Article: not found

          Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach

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            • Record: found
            • Abstract: not found
            • Article: not found

            The cost of dichotomising continuous variables.

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              • Record: found
              • Abstract: found
              • Article: not found

              Classification of traumatic brain injury for targeted therapies.

              The heterogeneity of traumatic brain injury (TBI) is considered one of the most significant barriers to finding effective therapeutic interventions. In October, 2007, the National Institute of Neurological Disorders and Stroke, with support from the Brain Injury Association of America, the Defense and Veterans Brain Injury Center, and the National Institute of Disability and Rehabilitation Research, convened a workshop to outline the steps needed to develop a reliable, efficient and valid classification system for TBI that could be used to link specific patterns of brain and neurovascular injury with appropriate therapeutic interventions. Currently, the Glasgow Coma Scale (GCS) is the primary selection criterion for inclusion in most TBI clinical trials. While the GCS is extremely useful in the clinical management and prognosis of TBI, it does not provide specific information about the pathophysiologic mechanisms which are responsible for neurological deficits and targeted by interventions. On the premise that brain injuries with similar pathoanatomic features are likely to share common pathophysiologic mechanisms, participants proposed that a new, multidimensional classification system should be developed for TBI clinical trials. It was agreed that preclinical models were vital in establishing pathophysiologic mechanisms relevant to specific pathoanatomic types of TBI and verifying that a given therapeutic approach improves outcome in these targeted TBI types. In a clinical trial, patients with the targeted pathoanatomic injury type would be selected using an initial diagnostic entry criterion, including their severity of injury. Coexisting brain injury types would be identified and multivariate prognostic modeling used for refinement of inclusion/exclusion criteria and patient stratification. Outcome assessment would utilize endpoints relevant to the targeted injury type. Advantages and disadvantages of currently available diagnostic, monitoring, and assessment tools were discussed. Recommendations were made for enhancing the utility of available or emerging tools in order to facilitate implementation of a pathoanatomic classification approach for clinical trials.
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                Author and article information

                Journal
                Annals of Neurology
                Ann Neurol
                Wiley
                03645134
                February 2013
                February 2013
                December 07 2012
                : 73
                : 2
                : 224-235
                Affiliations
                [1 ]Department of Public Health; Erasmus MC-University Medical Center; Rotterdam; the Netherlands
                [2 ]Department of Rehabilitation Medicine; Mount Sinai School of Medicine; New York; NY
                [3 ]Seton Brain and Spine Institute; Austin; TX
                [4 ]Department of Psychology; University of Texas; Austin; TX
                [5 ]Department of Neurological Surgery and Neurotrauma Clinical Trials Center; University of Pittsburgh Medical Center; Pittsburgh; PA
                [6 ]Department of Neurosurgery; Antwerp University Hospital; Edegem; Belgium
                Article
                10.1002/ana.23783
                4060890
                23224915
                a525c504-aaf6-4a08-9dbd-f5221c944a51
                © 2012

                http://doi.wiley.com/10.1002/tdm_license_1.1

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