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Full-Text Articles in Medicine and Health Sciences
Predicting Outcome After Traumatic Brain Injury: Development And International Validation Of Prognostic Scores Based On Admission Characteristics, Ewout W. Steyerberg, Nino Mushkudiani, Pablo Perel, Isabella Butcher, Juan Lu, Gillian S. Mchugh, Gordon D. Murray, Anthony Marmatou, Ian Roberts, J. D. F. Habbema, Andrew I. R. Maas
Predicting Outcome After Traumatic Brain Injury: Development And International Validation Of Prognostic Scores Based On Admission Characteristics, Ewout W. Steyerberg, Nino Mushkudiani, Pablo Perel, Isabella Butcher, Juan Lu, Gillian S. Mchugh, Gordon D. Murray, Anthony Marmatou, Ian Roberts, J. D. F. Habbema, Andrew I. R. Maas
Neurosurgery Publications
Background
Traumatic brain injury (TBI) is a leading cause of death and disability. A reliable prediction of outcome on admission is of great clinical relevance. We aimed to develop prognostic models with readily available traditional and novel predictors.
Methods and Findings
Prospectively collected individual patient data were analyzed from 11 studies. We considered predictors available at admission in logistic regression models to predict mortality and unfavorable outcome according to the Glasgow Outcome Scale at 6 mo after injury. Prognostic models were developed in 8,509 patients with severe or moderate TBI, with cross-validation by omission of each of the 11 studies …