Scandinavian Journal of Trauma Resuscitation and Emergency Medicine
16 articles tagged "Scandinavian Journal of Trauma Resuscitation and Emergency Medicine"
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Carotid Doppler Parameters Predict Return of Spontaneous Circulation During CPR
Waveform-derived metrics like velocity time integral show high predictive value for resuscitation success in emergency department patients.
Penetrating Brain Injury Mortality Reaches 42% While Prophylaxis Compliance Lags
Despite high mortality, 70% of survivors achieve favorable outcomes, though adherence to antibiotic and seizure protocols remains low.
Emergency Eye Calls Often Mask Acute Stroke and TIA
A Danish cohort study reveals that 7.4% of patients hospitalized for primary ocular complaints were ultimately diagnosed with a stroke.
Prophylactic Antiemetics Fail to Reduce Opioid-Induced Nausea in Prehospital Trauma
A prospective study of 205 HEMS patients shows no benefit for routine intravenous ondansetron or isopropanol aromatherapy.
Vuzix Head-Mounted Device Scores Highest in Prehospital Stroke Triage Simulation
A comparative study finds neurologists prefer head-mounted video quality while paramedics favor smartphone usability for remote triage.
Paramedics Rely on Informal Norms for Prehospital Opioid Selection
Qualitative data from Oslo University Hospital shows 'ambulance truths' and transport logistics drive the choice between fentanyl and morphine.
Sonorheometry Reliably Excludes Coagulopathy During Initial Trauma Resuscitation
A multicenter study validates bedside sonorheometry for rapid exclusion of trauma-induced coagulopathy with high negative predictive values.
One Quarter of Helicopter Emergency Missions Provide No Clinical Benefit
A retrospective analysis of 2,286 missions shows that while 74 percent are beneficial, many deployments lack clear utility.
Single-Responder Paramedic Units Meet Patient Needs for Immediate Help
Qualitative analysis shows patients prioritize clinical assistance over transport, finding single-paramedic units reduce medical drama.
Vision-Enabled GPT Predicts Tube Thoracostomy Need in Spontaneous Pneumothorax
A retrospective study shows a generative model accurately measures apical depth and aligns with emergency department triage decisions.
AI Ensemble Matches Expert Consensus for Ultrasound Pneumothorax Detection
An explainable AI model achieved 100% sensitivity and specificity, reducing false positives compared to clinicians in M-mode imaging.
Consensus Panel Identifies Systemic Barriers to Public Defibrillation
A RAND-UCLA consensus study of 46 international experts highlights poor residential coverage and lack of live registries as major hurdles.