Background: Elderly trauma patients are at risk for undertriage, resulting in substantial morbidity and mortality. The objective of this study was to determine whether implementation of geriatric-specific trauma team activation (TTA) protocols appropriately identified severely-injured elderly patients.
Methods: This single-center retrospective study evaluated all severely injured (injury severity score [ISS] >15), geriatric (≥65 years) patients admitted to our Level 1 tertiary-care hospital between January 2014 and September 2017. Undertriage was defined as the lack of TTA despite presence of severe injuries. The primary outcome was all-cause in-hospital mortality; secondary outcomes were mortality within 48 hours of admission and urgent hemorrhage control. A multivariable logistic regression analysis was performed to identify predictors of appropriate triage in this study.
Results: Out of 1039 severely injured geriatric patients, 628 (61%) did not undergo TTA. Undertriaged patients were significantly older and had more comorbidities. In-hospital mortality was 5% and 31% in the undertriaged and appropriately triaged groups, respectively ( < .0001). One percent of undertriaged patients needed urgent hemorrhage control, compared to 6% of the appropriately triaged group ( < .0001). One percent of undertriaged patients died within 48 hours compared to 19% in the appropriately triaged group ( < .0001). Predictors of appropriate triage include GCS, heart rate, systolic blood pressure, lactic acid, ISS, shock, and of dementia, stroke, or alcoholism.
Discussion: Geriatric-specific TTA guidelines continue to undertriage elderly trauma patients when using ISS as a metric to measure undertriage. However, undertriaged patients have much lower morbidity and mortality, suggesting the geriatric-specific TTA guidelines identify those patients at highest risk for poor outcomes.
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http://dx.doi.org/10.1177/0003134820951450 | DOI Listing |
AIMS Public Health
October 2024
Department of Medicine, Democritus University of Thrace, Alexandroupolis, Greece.
Introduction: Triage training has positive effects on health professionals, the quality of indicators in emergency departments, and the patients. However, data on the effectiveness of triage training on nurses with two different triage scales is limited.
Objective: This study sought to evaluate the effectiveness of a triage training program in Emergency Departments (EDs), as well as the effect on the accuracy, knowledge, and skills of nurses working in the National Health System of Greece.
Eur J Trauma Emerg Surg
January 2025
Institute for Research in Operative Medicine (IFOM), Faculty of Health, School of Medicine, Witten/Herdecke University, Ostmerheimer Str. 200, 51109, Cologne, Germany.
Purpose: Our aim was to generate evidence- and consensus-based recommendations for the management of mass casualty incidents (MCIs) based on current evidence. This guideline topic is part of the 2022 update of the German guideline on the treatment of patients with severe/multiple injuries.
Methods: MEDLINE and Embase were systematically searched to August 2021.
J Rural Med
January 2025
Department of Acute Critical Care Medicine, Shizuoka Hospital, Juntendo University, Japan.
In mass casualty incidents, effective triage, treatment, and transport are critical for efficient management but often deviate from practices and ethical standards. In terms of resource allocation, decentralized transport is the predominant transport method; however, it is not standardized. This report retrospectively analyzed the response to a mass casualty incident at a university emergency center.
View Article and Find Full Text PDFAm J Emerg Med
December 2024
Department of Emergency Medicine, Sisli Hamidiye Etfal Training and Research Hospital, Istanbul, Turkey.
Background: The number of emergency department (ED) visits has been on steady increase globally. Artificial Intelligence (AI) technologies, including Large Language Model (LLMs)-based generative AI models, have shown promise in improving triage accuracy. This study evaluates the performance of ChatGPT and Copilot in triage at a high-volume urban hospital, hypothesizing that these tools can match trained physicians' accuracy and reduce human bias amidst ED crowding challenges.
View Article and Find Full Text PDFAfr J Emerg Med
December 2024
Department of Pediatrics and Child Health Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Introduction: In an emergency room, triage is a crucial element that determines the clinical urgency of patients. Triage can dictate important decisions on the use of resources and the treatment that patients need. Many patients are seen later than necessary, wasting resources and time, and some may even be discharged without being seen, risking their lives.
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