16 papers
Emergency medicine represents the critical frontline of healthcare, where rapid decisions can mean the difference between life and death. This field focuses on the immediate assessment and treatment of acute illnesses and injuries, ranging from heart attacks and strokes to trauma and infectious disease outbreaks. It is a dynamic discipline that thrives on speed, precision, and the ability to adapt instantly to evolving situations.
On Gist.Science, we bring the latest research from medRxiv directly to you. We process every new preprint in this category as soon as it is published, offering both plain-language explanations for general readers and detailed technical summaries for specialists. This ensures you stay ahead of the curve with the most current evidence before it undergoes formal peer review.
Below are the latest papers in emergency medicine, curated to help you understand the cutting edge of urgent care research.
This prospective multicentre cohort study in India demonstrates that both simple, physiology-based prediction models (particularly GAP) and clinician gestalt-based triage exhibit excellent discrimination and calibration for predicting 30-day mortality in adult trauma patients, providing a practical foundation for improving trauma triage systems.
This study utilized group-based trajectory modeling on MIMIC-IV and external validation data to identify three distinct red blood cell distribution width (RDW) trajectories in sepsis patients, revealing that a fluctuating-rapid decrease pattern is independently associated with significantly higher 30-day and 90-day mortality compared to other patterns.
This qualitative interview study of thirteen Swedish emergency medical dispatchers reveals that prioritizing patients under capacity constraints is an active process of "stewarding scarce response capacity," involving the dynamic balancing of individual clinical urgency, geographic coverage, and population-level readiness through anticipation, reassessment, and collaboration.
This study demonstrates that deep neural network analysis of facial photographs taken upon emergency admission provides a powerful, independent predictor of mortality risk that significantly outperforms and complements traditional triage scores, vital signs, and laboratory tests.
This paper demonstrates that designing open-source assistive technology with early-stage considerations for local manufacturing variability—such as material and equipment differences—ensures the replicability, mechanical reliability, and cost-effectiveness of 3D-printed forearm crutches in low-resource settings.
This mixed-methods study identifies that while emergency clinicians value trauma clinical guidance, its effectiveness is hindered by accessibility and design issues, necessitating the development of concise, mobile-friendly resources tailored to time-pressured and diverse clinical settings.