Emergency medicine journal : EMJ
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Andexanet alfa was approved in 2018 for reversal of direct oral anticoagulants but due to issues of cost and access, four-factor prothrombin complex concentrate (4F-PCC) continues to be used for this indication. The objective of this study is to evaluate outcomes of reversal with these agents in patients with isolated traumatic brain injuries (TBI). ⋯ There was no firm conclusion on the treatment effect in mortality/hospice or serious complications among isolated TBI patients reversed with 4F-PCC as compared with andexanet alfa.
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Right ventricular (RV) dysfunction is the main cause of death in patients with normotensive acute pulmonary embolism (PE). The optimal management for this subset of patients remains uncertain. This systematic review and meta-analysis focused on the comparison of diuretics and fluid expansion in patients with acute PE presenting with RV dysfunction and haemodynamic stability. ⋯ Very few studies have compared the efficacy and safety of diuretics and fluid expansion in normotensive patients with acute PE with RV failure. Overall, furosemide appears to reduce RV dysfunction in this subset of patients compared with fluid expansion. Further research is required to confirm these findings.
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Multicenter Study
Predictors of adverse outcomes in elders hospitalised for isolated orthopaedic trauma: a multicentre cohort study.
Patients >64 years of age now represent more than 51% of injury hospitalisations in Canada. The tools used to identify older patients who could benefit the most from an interdisciplinary approach include complex parameters difficult to collect in the ED, which suggests that better tools with higher accuracy and using items that can be derived from routinely collected data are needed. We aimed to identify variables that are associated with adverse outcomes in older patients admitted to a trauma centre for an isolated orthopaedic injury. ⋯ We identified eight predictors of adverse outcomes in patients >64 years of age admitted to a trauma centre for orthopaedic injury. These variables could eventually be used to develop a clinical decision rule to identify elders who may benefit the most from interdisciplinary care.
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Major incidents (MIs) are an important cause of death and disability. Triage tools are crucial to identifying priority 1 (P1) patients-those needing time-critical, life-saving interventions. Existing expert opinion-derived tools have limited evidence supporting their use. This study employs machine learning (ML) to develop and validate models for novel primary and secondary triage tools. ⋯ Novel triage tools developed using ML outperform existing tools in a nationally representative trauma population. The proposed primary tool requires external validation prior to consideration for practical use. The secondary tool demonstrates good external validity and may be used to support decision-making by healthcare workers responding to MIs.