Background: Crowding in the emergency department (ED) is a well-known problem resulting in an increased risk of adverse outcomes. Effective triage might counteract this problem by identifying the sickest patients and ensuring early treatment. In the last two decades, systematic triage has become the standard in ED's worldwide. However, triage models are also time consuming, supported by limited evidence and could potentially be of more harm than benefit. The aim of this study is to develop a quicker triage model using data from a large cohort of unselected ED patients and evaluate if this new model is non-inferior to an existing triage model in a prospective randomized trial.
Methods: The Copenhagen Triage Algorithm (CTA) study is a prospective two-center, cluster-randomized, cross-over, non-inferiority trial comparing CTA to the Danish Emergency Process Triage (DEPT). We include patients ≥16 years (n = 50.000) admitted to the ED in two large acute hospitals. Centers are randomly assigned to perform either CTA or DEPT triage first and then use the other triage model in the last time period. The CTA stratifies patients into 5 acuity levels in two steps. First, a scoring chart based on vital values is used to classify patients in an immediate category. Second, a clinical assessment by the ED nurse can alter the result suggested by the score up to two categories up or one down. The primary end-point is 30-day mortality and secondary end-points are length of stay, time to treatment, admission to intensive care unit, and readmission within 30 days.
Discussion: If proven non-inferior to standard DEPT triage, CTA will be a faster and simpler triage model that is still able to detect the critically ill. Simplifying triage will lessen the burden for the ED staff and possibly allow faster treatment.
Trial Registration: Clinicaltrials.gov: NCT02698319 , registered 24. of February 2016, retrospectively registered.
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http://dx.doi.org/10.1186/s13049-016-0312-6 | DOI Listing |
Neurol Med Chir (Tokyo)
January 2025
College of Biological Science and Technology, National Yang Ming Chiao Tung University.
Non-enhanced head computed tomography is widely used for patients presenting with head trauma or stroke, given acute intracranial hemorrhage significantly influences clinical decision-making. This study aimed to develop a deep learning algorithm, referred to as DeepCT, to detect acute intracranial hemorrhage on non-enhanced head computed tomography images and evaluate its clinical applicability. We retrospectively collected 1,815 computed tomography image sets from a single center for model training.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA.
: Predictors of morbidity and mortality in hospitalized COVID-19 patients have been extensively studied. However, comparative analyses of predictors for hospitalization versus discharge from the emergency department remain limited. : This retrospective study evaluated predictors of hospitalization among adults (≥18 years) presenting to the emergency department with COVID-19 infection between 1 March 2020 and 15 June 2020.
View Article and Find Full Text PDFAcad Emerg Med
January 2025
Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Background: Prehospital emergencies require providers to rapidly identify patients' medical condition and determine treatment needs. We tested whether medics' initial, written impressions of patient condition contain information that can help identify patients who require prehospital lifesaving interventions (LSI) prior to or during transport.
Methods: We analyzed free-text medic impressions of prehospital patients encountered at the scene of an accident or injury, using data from STAT MedEvac air medical transport service from 2012 to 2021.
J Frailty Aging
February 2025
Department of Pediatric Dentistry and Dental Public Health, Faculty of Dentistry, Cairo University, Cairo, Egypt. Electronic address:
Objectives: The aim of this pilot study is to assess the feasibility of using the mobile photographic method (m-health) of teledentistry for oral screening and triaging of older patients living in aged care homes.
Methods: The study took place in 2023 in four aged care facilities in Egypt. Three trained dentists performed clinical oral examinations of the participants and filled in the World Health Organization (WHO) oral health assessment form.
Eur J Emerg Med
January 2025
Université Paris Cité, ECEVE, UMR 1123 Unit, Inserm.
Background And Importance: Access to healthcare remains a persistent challenge. Socially disadvantaged populations often encounter barriers to care and may frequently seek out emergency departments (EDs), including for nonurgent medical care.
Objective: The objective of this study is to study the association between nonurgent presentations to pediatric EDs and patients' socioeconomic environment in an urban setting.
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