98%
921
2 minutes
20
Mass casualty incidents (MCI), particularly involving pediatric patients, are high-risk, low-frequency occurrences that require exceptional emergency arrangements and advanced preparation. In the aftermath of an MCI, it is essential for medical personnel to accurately and promptly triage patients according to their acuity and urgency for care. As first responders bring patients from the field to the hospital, medical personnel are responsible for prompt secondary triage of these patients to appropriately delegate hospital resources. The JumpSTART triage algorithm (a variation of the Simple Triage and Rapid Treatment, or START, triage system) was originally designed for prehospital triage by prehospital providers but can also be used for secondary triage in the emergency department setting. This technical report describes a novel simulation-based curriculum for pediatric emergency medicine residents, fellows, and attendings involving the secondary triage of patients in the aftermath of an MCI in the emergency department. This curriculum highlights the importance of the JumpSTART triage algorithm and how to effectively implement it in the MCI setting.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322648 | PMC |
http://dx.doi.org/10.7759/cureus.40009 | DOI Listing |
Open Access Emerg Med
September 2025
Department of Emergency Medicine and Critical Care, Center Hospital of the National Center for Global Health and Medicine, Tokyo, 162-8655, Japan.
Background: A simple screening tool is needed for resource-limited settings because rapid treatment is crucial in sepsis. We investigated whether a simplified score, the reverse shock index multiplied by the Glasgow Coma Scale score (rSIG), could replace the Modified Early Warning Score (MEWS) or the quick Sequential Organ Failure Assessment (qSOFA) for sepsis screening.
Methods: We used data from a Japanese multicenter prospective observational study.
Emerg Med Australas
October 2025
Emergency Department, Redland Hospital, Cleveland, Queensland, Australia.
Objective: Investigate the effect of interim care plans (ICP) for direct inpatient general medical and cardiology admissions on Emergency Department (ED) length of stay (LOS), and whether ICP were associated with adverse patient outcomes.
Methods: This was a single-site retrospective study across 12 months in 2023, where ICP was implemented from 1st January. Adults presenting to ED and admitted under general medicine or cardiology, but not requiring high dependency unit care, were included.
Transl Stroke Res
September 2025
Neurosurgical Service, Beth Israel Deaconess Medical Center, Harvard Medical School, 110 Francis Street, Boston, MA, 02115, USA.
The role of different imaging modalities-non-contrast CT (NCCT), CT perfusion (CTP), and diffusion-weighted imaging (DWI)-in selecting patients with large-core stroke for endovascular thrombectomy (EVT) is a subject of ongoing debate. This study aims to determine whether patients with large-core acute ischemic stroke (AIS) undergoing EVT triaged with CTP or DWI in addition to NCCT had different clinical outcomes compared to those only triaged with NCCT. We queried the Stroke Thrombectomy and Aneurysm Registry (STAR) for patients enrolled between 2014 and 2023 who presented with anterior-circulation AIS and large ischemic core (ASPECTS < 6) who underwent EVT in 41 stroke centers in the USA, Europe, Asia, and South America.
View Article and Find Full Text PDFCan J Gastroenterol Hepatol
September 2025
Department of Gastroenterology, St Luke's General Hospital, Kilkenny, Ireland.
The faecal immunochemical test (FIT) is endorsed by NICE for triaging symptomatic patients referred from primary care. This prospective diagnostic accuracy study assessed the performance of FIT in detecting significant colorectal pathology among symptomatic patients referred for colonoscopy in secondary care. Between May 2023 and May 2024, FIT kits were distributed to 1296 adult patients referred for lower gastrointestinal (GI) endoscopy.
View Article and Find Full Text PDFKorean J Radiol
September 2025
Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
Objective: In this study, we investigated whether artificial intelligence (AI) analysis of chest radiographs (CXRs) can predict major adverse clinical events in patients visiting the emergency department (ED) with acute cardiopulmonary symptoms.
Materials And Methods: This secondary analysis of a previous clinical trial included patients who visited the ED with symptoms suggestive of acute cardiopulmonary disease and underwent chest radiography between June 2020 and December 2021. All patients underwent triage upon arrival at ED according to the Korean Triage and Acuity Scale (KTAS).