Injury
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The diagnosis of small bowel and mesenteric injuries (BBMI) after blunt abdominal trauma remains difficult, which results in delayed treatment and increased mortality and morbidity. Diagnostic peritoneal lavage (DPL) in patients with 1 or 2 abnormal CT findings that are suggestive of BBMI was proposed, but the rate of unnecessary surgical exploration remains high. ⋯ DPL is sensitive for the diagnosis of BBMI in stable trauma patients with 1 or 2 unexplained CT abnormalities, but specificity is low with a high rate of nontherapeutic laparotomy in case of CCR≥1. Indications for exploratory laparotomy could be restricted to patients with a CCR≥4 to improve the specificity of diagnosis management.
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The Dutch Major Incident Hospital (MIH) is a standby, highly prepared, 200-bed hospital strictly reserved to provide immediate, large-scale, and emergency care for victims of disasters and major incidents. It has long-standing experience training for various major incident scenarios, including functioning as a back-up facility for the Netherlands. In 1995, the MIH had experience with overtaking an evacuated hospital when that hospital was threatened by flooding. In November 2014, an exercise was performed to transfer an evacuating hospital to the MIH. The scenario again became reality when a neighbouring hospital had to evacuate in September 2015. This article evaluates the events and compares the exercise to the real events in order to further optimise future training. ⋯ Large-scale major incident exercises are a great benchmark for the medical response in the acute phase of relief. The MIH was shown to be highly prepared to admit an entire evacuating hospital or large groups of patients in such a scenario. Experiences from the past, combined with regular training that closely resembles reality, guarantee the level of preparedness. Key differences between a true deployment and an exercise are the inability to train multiple days, and in our experience, a successful operation of IT systems in test environments does not guarantee their successful use during live events.
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Quality improvement (QI) programs have shown to reduce preventable mortality in trauma care. Detailed review of all trauma deaths is a time and resource consuming process and calculated probability of survival (Ps) has been proposed as audit filter. Review is limited on deaths that were 'expected to survive'. However no Ps-based algorithm has been validated and no study has examined elements of preventability associated with deaths classified as 'expected'. The objective of this study was to examine whether trauma performance review can be streamlined using existing mortality prediction tools without missing important areas for improvement. ⋯ TRISS and PS fail to identify a significant proportion of avoidable deaths and miss important opportunities for process and system improvement. Based on this, all trauma deaths should be subjected to expert panel review in order to aim at a maximal output of performance improvement programs.
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The GCS was created forty years ago as a measure of impaired consciousness following head injury and thus the association of GCS with mortality in patients with traumatic brain injury (TBI) is expected. The association of GCS with mortality in patients without TBI (non-TBI) has been assumed to be similar. However, if this assumption is incorrect mortality prediction models incorporating GCS as a predictor will need to be revised. ⋯ A depressed GCS predicts death better in TBI patients than non-TBI patients, likely because in non-TBI patients a depressed GCS may simply be the result of entirely reversible intoxication by alcohol or drugs; in TBI patients, by contrast, a depressed GCS is more ominous because it is likely due to a head injury with its attendant threat to survival. Accounting for this observation into trauma mortality datasets and models may improve the accuracy of outcome prediction.