Articles: trauma.
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Eur J Trauma Emerg Surg · Dec 2024
ReviewCan "Stop The Bleed" training courses for laypersons improve hemorrhage control knowledge, skills, and attitudes? A systematic review.
In many regions of the world, most trauma deaths occur within 1-2 h of injury due to uncontrolled bleeding. For this reason, training lay first-person responders in trauma care, focusing on hemorrhage control, has been recommended. We hypothesized that STOP THE BLEED (STB) training courses that teach laypersons how to stop traumatic compressible bleeding immediately are needed to potentially prevent deaths due to hemorrhage. This systematic review will analyze the effect of the STB training course on the knowledge, skill, and attitudes of lay first-person responders for hemorrhage control. ⋯ STB courses for laypersons have demonstrated significant improvements in knowledge, skill, confidence, and willingness to intervene to stop traumatic exsanguination. The evaluation of clinically relevant patient outcomes, specifically their effect on preventable deaths from traumatic exsanguination, is needed to strengthen further the evidence behind the recommendations for more widespread teaching of "STB" courses.
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Traumatic brain injury (TBI) afflicts 69 million individuals annually, resulting in numerous neuropsychiatric sequelae. Here, we investigate the possible relation between TBI and depression. ⋯ Individuals suffering from TBI are almost twice as likely to develop depressive symptomology compared to non-TBI individuals.
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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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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.
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Eur J Trauma Emerg Surg · Dec 2024
Review Meta AnalysisContrast-enhanced CT scan (CECT) for the detection of hollow viscus and mesenteric injuries in blunt trauma - an updated systematic review of the literature and meta-analysis of diagnostic test accuracy.
Despite improved awareness of blunt traumatic hollow viscus and mesenteric injuries (THVMI), the accuracy of contrast-enhanced CT (CECT) varies considerably among studies. This systematic review and meta-analysis of test accuracy aims to explore the diagnostic performance of CECT in detecting THVMI in blunt trauma. ⋯ CECT has a fundamental role in identifying THVMI with high specificity but suboptimal sensitivity. Clinical criteria are still of paramount importance, especially in cases of ambiguous initial CECT images.