Articles: trauma.
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Eur J Trauma Emerg Surg · Dec 2024
Multicenter Study Observational StudyEpidemiology of postinjury multiple organ failure: a prospective multicenter observational study.
Postinjury multiple organ failure (MOF) is the sequela to the disease of polytrauma. We aimed to describe the contemporary population-based epidemiology of MOF within a mature trauma system, to analyse the time taken for MOF to develop, and to evaluate the temporal patterns and contributions of the individual constituent organ failures. ⋯ Although a rare syndrome in the general population, MOF occurred in 23% of the most severely injured polytrauma patients. When compared to previous risk-matched cohorts, MOF become more common, but not more lethal, despite a decade older cohort. The heart has superseded the lungs as the most common organ to fail. Cardiac and respiratory failures occurred earlier and were associated with lower mortality than renal and hepatic failures.
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Eur J Trauma Emerg Surg · Dec 2024
Limited impact of traumatic brain injury on the post-traumatic inflammatory cellular response.
Trauma triggers a systemic inflammatory cellular response due to tissue damage, potentially leading to a secondary immune deficiency. Trauma severity is quantified by the Injury Severity Score (ISS). Severe Traumatic Brain Injury (TBI) is associated with high ISSs due to high lethality, despite limited tissue damage. Therefore, ISS might overestimate the post-traumatic inflammatory cellular response. This study investigated the effect of TBI on the occurrence of different systemic neutrophil phenotypes as alternative read-out for systemic inflammation. ⋯ When TBI is involved, ISS tends to be higher compared to similar patients in the absence of TBI. However, TBI patients did not demonstrate an increased inflammatory cellular response compared to non-TBI patients. Therefore, TBI does not add much to the inflammatory cellular response in trauma patients. The degree of the inflammatory response was related to the incidence of infectious complications.
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Review Meta Analysis
Incidence and Risk Factors of Delayed Intracranial Hemorrhage in Anticoagulated Head Trauma Patients: A Systematic Review and Meta-Analysis.
This study aims to provide a current and comprehensive analysis of the incidence of delayed intracerebral hemorrhage (dICH) in head trauma patients on oral anticoagulants (ACs) and to evaluate various potential risk factors. ⋯ A low incidence of dICH requires neurosurgical intervention; however, further studies are required to assess the need for other medical management in these patients. Furthermore, selective imaging for high-risk patients could improve care and resource allocation.
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Multicenter Study
Whole Blood and Blood Component Resuscitation in Trauma: Interaction and Association with Mortality.
To evaluate the interaction between whole blood (WB) and blood component resuscitation in relation to mortality after trauma. ⋯ WB resuscitation, higher WB:TTV ratios, and balanced blood component transfusion in conjunction with WB were associated with lower mortality in patients with trauma presenting in shock requiring at least 4 units of red blood cells and/or WB transfusion within 4 hours of arrival.
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Eur J Trauma Emerg Surg · Dec 2024
ReviewAI for detection, classification and prediction of loss of alignment of distal radius fractures; a systematic review.
Early and accurate assessment of distal radius fractures (DRFs) is crucial for optimal prognosis. Identifying fractures likely to lose threshold alignment (instability) in a cast is vital for treatment decisions, yet prediction tools' accuracy and reliability remain challenging. Artificial intelligence (AI), particularly Convolutional Neural Networks (CNNs), can evaluate radiographic images with high performance. This systematic review aims to summarize studies utilizing CNNs to detect, classify, or predict loss of threshold alignment of DRFs. ⋯ AI models for DRF detection show promising performance, indicating the potential of algorithms to assist clinicians in the assessment of radiographs. In addition, AI models showed similar performance compared to clinicians. No algorithms for predicting the loss of threshold alignment were identified in our literature search despite the clinical relevance of such algorithms.