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      Predicting mortality from head injury: experience of Sancti Spíritus province, Cuba

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          Abstract

          INTRODUCTION: Better prognostic classification of patients who are severely injured or in critical condition has been associated with reduced case fatality from traumatic brain injury. OBJECTIVE: Determine the value of admission results (clinical, laboratory and imaging) and severity scales, for predicting mortality in traumatic brain injury patients. METHODS: A cross-sectional study of traumatic brain injury patients was conducted at the Sancti Spíritus Provincial General Teaching Hospital in 2009 and 2010; the study population included all 16 traumatic brain injury patients who died during the period, plus 31 who survived to discharge. The following independent variables were used: Glasgow Coma Scale, Glasgow Coma Scale motor score, pupil reaction to light, blood glucose, respiratory distress, systolic blood pressure, hemoglobin, and lesions detectable on cranial computed tomography. Associations between independent and dependent variables (death or survival to discharge) were analyzed using the chi-square test and, for cells with expected values of <5, the Fisher exact test. Odds ratios and 95% confidence intervals were calculated. RESULTS: Of 47 patients, 20 (42.6%) were aged >60 years and 32 (68.1%) were male. Parameters associated with higher mortality identified were: Glasgow Coma Scale score <8 (OR 47.25, 95% CI 6.26-483.3, p <0.001) and Glasgow Coma Scale motor score <3 (OR 28.00, 95% CI 4.20-220.2, p <0.001); absence of pupil reaction (OR = 8.40, 95% CI 1.20-73.35, p <0.001), respiratory distress (OR = 47.25, 95% CI 1.85-85.92, p <0.0014), blood glucose >8.8 mmol/L (OR = 7.26, CI 1.28-46.18, p <0.001), subdural hematoma (OR 20.25, 95% CI 3.55-136.65, p <0.001) and multiple injuries detected by cranial computed tomography (OR = 29.25, 95% CI 4.64-228.43, p <0.001). CONCLUSIONS: The study confirmed value in Sancti Spíritus Province of the following for predicting mortality in head injury patients: Glasgow Coma Scale score <8, Glasgow Coma Scale motor score <3, blood glucose >8.8 mmol/L, absence of pupil reaction to light, respiratory distress, and presence of multiple injuries detected in cranial computed tomography. No prognostic value was demonstrated for low hemoglobin values or abnormal blood pressure.

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          Predicting outcome after traumatic brain injury: practical prognostic models based on large cohort of international patients.

          To develop and validate practical prognostic models for death at 14 days and for death or severe disability six months after traumatic brain injury. Multivariable logistic regression to select variables that were independently associated with two patient outcomes. Two models designed: "basic" model (demographic and clinical variables only) and "CT" model (basic model plus results of computed tomography). The models were subsequently developed for high and low-middle income countries separately. Medical Research Council (MRC) CRASH Trial. 10,008 patients with traumatic brain injury. Models externally validated in a cohort of 8509. The basic model included four predictors: age, Glasgow coma scale, pupil reactivity, and the presence of major extracranial injury. The CT model also included the presence of petechial haemorrhages, obliteration of the third ventricle or basal cisterns, subarachnoid bleeding, midline shift, and non-evacuated haematoma. In the derivation sample the models showed excellent discrimination (C statistic above 0.80). The models showed good calibration graphically. The Hosmer-Lemeshow test also indicated good calibration, except for the CT model in low-middle income countries. External validation for unfavourable outcome at six months in high income countries showed that basic and CT models had good discrimination (C statistic 0.77 for both models) but poorer calibration. Simple prognostic models can be used to obtain valid predictions of relevant outcomes in patients with traumatic brain injury.
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            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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              Prognostic value of demographic characteristics in traumatic brain injury: results from the IMPACT study.

              Outcome following traumatic brain injury (TBI) is not only dependent on the nature and severity of injury and subsequent treatment, but also on constituent characteristics of injured individuals. We aimed to describe and quantify the relationship between demographic characteristics and six month outcome assessed by the Glasgow Outcome Scale (GOS) after TBI. Individual patient data on age (n = 8719), gender (n = 8720), race (n = 5320), and education (n = 2201) were extracted from eight therapeutic Phase III randomized clinical trials and three surveys in moderate or severe TBI, contained in the IMPACT database. The strength of prognostic effects was analyzed with binary and proportional odds regression analysis and expressed as an odds ratio. Age was analyzed as a continuous variable with spline functions, and the odds ratio calculated over the difference between the 75 th and 25 th percentiles. Associations with other predictors were explored. Increasing age was strongly related to poorer outcome (OR 2.14; 95% CI 2.00-2.28) in a continuous fashion that could be approximated by a linear function. No gender differences in outcome were found (OR: 1.01; CI 0.92-1.11), and exploratory analysis failed to show any gender/age interaction. The studies included predominantly Caucasians (83%); outcome in black patients was poorer relative to this group (OR 1.30; CI 1.09-1.56). This relationship was sustained on adjusted analyses, and requires further study into mediating factors. Higher levels of education were weakly related to a better outcome (OR: 0.70; CI 0.52-0.94). On multivariable analysis adjusting for age, motor score, and pupils, the prognostic effect of race and education were sustained. We conclude that outcome following TBI is dependent on age, race, to a lesser extent on education, but not on gender.
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                Author and article information

                Journal
                medicc
                MEDICC Review
                MEDICC rev.
                Medical Education Cooperation with Cuba (Oakland, California, United States )
                1555-7960
                1527-3172
                July 2013
                : 15
                : 3
                : 30-33
                Affiliations
                [01] orgnameSancti Spíritus Medical University
                Article
                S1555-79602013000300007 S1555-7960(13)01500300007
                2ac48a2b-a0b4-4ed8-ae4b-1dc4bf429353

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 15 July 2013
                : 31 July 2012
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 33, Pages: 4
                Product

                SciELO Public Health

                Self URI: Full text available only in PDF format (EN)
                Categories
                Lessons from the Field

                Traumatic brain injury,prognosis,coma,Glasgow Coma Scale,brain injuries,head injuries,head trauma,trauma severity indices,injury severity score,Cuba

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