Injury
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Free-text fields in injury surveillance databases can provide detailed information beyond routinely coded data. Additional data, such as exposures and covariates can be identified from narrative text and used to conduct case-control studies. ⋯ This exploratory analysis illustrates the potential utility of relatively simple text-search algorithms to identify additional variables in surveillance data. Limitations of this study include possible selection bias and the inability to identify individuals with multiple injuries. A similar approach can be applied to study other injuries, conditions, risks, or protective factors. This approach may serve as an efficient method to extend the utility of injury surveillance data to conduct epidemiological research.
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Comparative Study
Clinical differences between major burns patients deemed survivable and non-survivable on admission.
Despite advances in burn care, there is still a group of patients with serious burn injury who fail to respond to therapies or for whom active treatments are unsuccessful. As the demographic and causative factors of burn related mortality may differ between treating units and countries, we aimed to investigate clinical aspects of patients that die whose injuries are considered either survivable or non-survivable on admission. ⋯ A number of clinical differences in major burn patients can be observed at admission between patients for whom a decision is made as to whether an injury is survivable or non-survivable. These differences may influence the degree of therapeutic aggression or conservatism as determined by the treating clinical team. As a matter of maintaining standards amongst the burns community, reporting mortality data such as this may also provide a benchmark by which other burns units can assess their own data regarding end-of-life decision-making.
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Multicenter Study
Clinical gestalt and the prediction of massive transfusion after trauma.
Early recognition and treatment of trauma patients requiring massive transfusion (MT) has been shown to reduce mortality. While many risk factors predicting MT have been demonstrated, there is no universally accepted method or algorithm to identify these patients. We hypothesised that even among experienced trauma surgeons, the clinical gestalt of identifying patients who will require MT is unreliable. ⋯ Data from this large multicenter trial demonstrates that predicting the need for MT continues to be a challenge. Because of the increased mortality associated with delayed therapy, a more reliable algorithm is needed to identify and treat these severely injured patients earlier.
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Road trauma is one of the most common causes of injury for children. Yet risk factors associated with different levels of injury severity for childhood road trauma have not been examined in-depth. This study identifies crash and injury risk factors associated with the severity of non-fatal injury outcome for paediatric road trauma. ⋯ For car occupants, unauthorised vehicle drivers had twice the odds (OR: 2.21, 95%CI 1.47-3.34) and learner/provisional drivers had one and a half times higher odds (OR: 1.54, 95%CI 1.15-2.07) of a child car occupant sustaining a serious injury compared to a minor injury. For pedal cyclists and pedestrians, there were lower odds of a crash occurring during school commuting time and higher odds of a crash occurring during the weekend or on a dry road for children who sustained a serious versus a minor injury. Injury prevention initiatives, such as restraint and helmet use, that should reduce injury and/or crash severity are advocated.