Academic Emergency Medicine最新文献

Background: Uncontrolled hemorrhage is a leading cause of preventable death in trauma. Tourniquets (TQs) are commonly used to control bleeding in the prehospital setting, although their application is associated with risks. Therefore, this study aimed to identify complications arising from TQ use and to examine contributing risk factors.

Methods: This retrospective observational study reviewed the medical records of adult trauma casualties (>18 years) hospitalized at Chaim Sheba Medical Center (SMC) between 2010 and 2020 who had a TQ applied in the prehospital setting. The primary outcome was the rate and type of complications. Logistic regression analyses identified risk factors using demographic, injury, and clinical data.

Results: From 2010 to 2020, a total of 84 trauma casualties with documented prehospital TQ application were hospitalized at SMC. Of these, 20 (23.81%) experienced TQ-related complications, including local infection, compartment syndrome, and thromboembolism. The average TQ application time was 44.2 min, with no significant difference between those with and without complications. However, significant differences were noted in the mechanism of injury (MOI), wound contamination levels, indications for TQ application, and initial blood test results (p < 0.05). Logistic regression analyses revealed length of stay (LOS) and injuries from falls were significantly associated with the development of complications.

Conclusions: This study found that a significant trauma in prehospital settings requiring TQ application is associated with a high rate of complications. Early complications, including local infections and compartment syndrome, were more frequent, whereas late complications like thromboembolism and muscle atrophy were less common. The findings suggest that factors such as the MOI and wound contamination may contribute to these complications, yet after applying multivariate regression, LOS and falls were the only variables found to be significantly associated with the development of complications. These findings underscore the need for further research comparing casualties with and without TQ application.

Diagnostic errors in health care pose significant risks to patient safety and are disturbingly common. In the emergency department (ED), the chaotic and high-pressure environment increases the likelihood of these errors, as emergency clinicians must make rapid decisions with limited information, often under cognitive overload. Artificial intelligence (AI) offers promising solutions to improve diagnostic errors in three key areas: information gathering, clinical decision support (CDS), and feedback through quality improvement. AI can streamline the information-gathering process by automating data retrieval, reducing cognitive load, and providing clinicians with essential patient details quickly. AI-driven CDS systems enhance diagnostic decision making by offering real-time insights, reducing cognitive biases, and prioritizing differential diagnoses. Furthermore, AI-powered feedback loops can facilitate continuous learning and refinement of diagnostic processes by providing targeted education and outcome feedback to clinicians. By integrating AI into these areas, the potential for reducing diagnostic errors and improving patient safety in the ED is substantial. However, successfully implementing AI in the ED is challenging and complex. Developing, validating, and implementing AI as a safe, human-centered ED tool requires thoughtful design and meticulous attention to ethical and practical considerations. Clinicians and patients must be integrated as key stakeholders across these processes. Ultimately, AI should be seen as a tool that assists clinicians by supporting better, faster decisions and thus enhances patient outcomes.

Background: Acute exacerbations of chronic obstructive pulmonary disease (COPD) in the emergency department (ED) involve dyspnea, cough, and chest discomfort; frequent exacerbations are associated with increased mortality and reduced quality of life. Noninvasive positive pressure ventilation (NiPPV) is commonly used to help relieve symptoms but is limited due to patient intolerance. We aimed to determine whether high-velocity nasal insufflation (HVNI) is noninferior to NiPPV in relieving dyspnea within 4 h in ED patients with acute hypercapnic respiratory failure.

Methods: This randomized control trial was conducted in seven EDs in the United States. Symptomatic patients with suspected COPD, partial pressure of carbon dioxide (pCO₂) ≥ 60 mm Hg, and venous pH 7.0-7.35 were randomized to receive HVNI (n = 36) or NiPPV (n = 32). The primary outcome was dyspnea severity 4 h after the initiation of study intervention, as measured by the Borg score. Secondary outcomes included vital signs, oxygen saturation, venous pCO₂, venous pH, patient discomfort level, and need for endotracheal intubation.

Results: Sixty-eight patients were randomized between November 5, 2020, and May 10, 2023 (mean age 65.6 years; 47% women). The initial pCO₂ was 77.7 ± 13.6 mm Hg versus 76.5 ± 13.6 mm Hg and the initial venous pH was 7.27 ± 0.063 versus 7.27 ± 0.043 in the HVNI and NiPPV groups, respectively. Dyspnea was similar in the HVNI and NiPPV groups at baseline (dyspnea scale score 5.4 ± 2.93 and 5.6 ± 2.41) and HVNI was noninferior to NiPPV at the following time points: 30 min (3.97 ± 2.82 and 4.54 ± 1.65, p = 0.006), 60 min (3.09 ± 2.70 and 4.07 ± 1.77, p < 0.001), and 4 h (3.17 ± 2.59 and 3.34 ± 2.04, p = 0.03). At 4 h, there was no difference between the groups in the pCO₂ mm Hg (68.76 and 67.29, p = 0.63). Patients reported better overall comfort levels in the HVNI group at 30 min, 60 min, and 4 h (p = 0.003).

Conclusions: In participants with symptomatic COPD, HVNI was noninferior to NiPPV in relieving dyspnea 4 h after therapy initiation. HVNI may be a reasonable treatment option for some patients experiencing moderate acute exacerbations of COPD in the ED.