Injury
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Approximately 20 % of femoral fragility fracture patients take anticoagulants, typically warfarin or Direct Oral AntiCoagulant (DOAC). These can impact timing of surgery affecting patient survival. Due to several possible approaches and numerous factors to consider in the preoperative workup of anticoagulated patients, potential for variations in clinical practice exist. Some hospitals employ dedicated anticoagulation management protocols to address this issue, and to improve time to surgery. This study aimed to determine the proportion of hospitals with such protocols, compare protocol guidance between hospitals, and evaluate the effectiveness of protocols in facilitating prompt surgery. ⋯ Around half of hospitals employed a dedicated anticoagulation management protocol for femoral fragility fracture patients, and substantial variation was observed in guidance between protocols. Dedicated protocols currently being used at hospitals were ineffective at improving the defined targets for time to surgery.
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Prolonged operative duration is an independent risk factor for surgical complications in numerous subspecialties. However, associations between adverse events and operative duration of hip fracture fixation in older adults have not been well-quantified. This study aims to determine if prolonged operative duration of hip fracture surgery is related to adverse outcomes. We hypothesized that patients with high operative durations experience greater rates of 30-day complications. ⋯ Our study demonstrates that duration of surgery is an independent risk factor for superficial SSI, any SSI, and any complication. Notably, our findings suggest that high operative durations may be most concerning for SSIs in IMN fixation, which is currently the most common choice for hip fracture fixation in the US. However, the rate of any complication is significantly elevated when surgical duration is prolonged, regardless of surgery type.
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Comparative Study
Prediction of mortality among severely injured trauma patients A comparison between TRISS and machine learning-based predictive models.
Given the huge impact of trauma on hospital systems around the world, several attempts have been made to develop predictive models for the outcomes of trauma victims. The most used, and in many studies most accurate predictive model, is the "Trauma Score and Injury Severity Score" (TRISS). Although it has proven to be fairly accurate and is widely used, it has faced criticism for its inability to classify more complex cases. In this study, we aimed to develop machine learning models that better than TRISS could predict mortality among severely injured trauma patients, something that has not been studied using data from a nationwide register before. ⋯ This study showed that all the developed ML-based prediction models were superior to TRISS for the prediction of trauma mortality.
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Accidental impact on a player's head by a powerful soccer ball may lead to brain injuries and concussions during games. It is crucial to assess these injuries promptly and accurately on the field. However, it is challenging for referees, coaches, and even players themselves to accurately recognize potential injuries and concussions following such impacts. Therefore, it is necessary to establish a list of minimum ball velocity thresholds that can result in concussions at different impact locations on the head. Additionally, it is important to identify the affected brain regions responsible for impairments in brain function and potential clinical symptoms. ⋯ This work offers a framework for quantitatively assessing brain injuries and concussions induced by an unintentional soccer ball impact. Determining the ball velocity thresholds at various impact locations provides a benchmark for evaluating the risks of concussion. The examination of brain tissue damage evolution introduces a novel approach to linking biomechanical responses with possible clinical symptoms.