Background: Fast and effective diagnosis of patients with acute myocardial infarction (AMI) in the Emergency Department (ED) is needed. Manchester Triage (MT) is based on identification of the patient's main complaint, establishing, through decision flowcharts, a target-time for first observation. This study aimed to evaluate the impact of MT on short-term mortality in AMI and detect potential improvements, and to analyse high-risk groups: diabetic patients, women and older patients.
Methods: 332 consecutive patients (69.0+13.6 years mean age; 34.9% women) with final diagnosis of AMI were assessed in the ED using MT. Data were analysed according to demographics and risk groups, as well as several AMI parameters, admission duration and intrahospital mortality (IHM). Independent predictors of mortality were determined.
Results: 82.8% of patients met the ideal goal of ≤10 min target-time for a first observation (ITTFO). This was higher (95%) in typical presentations ('chest pain'), versus 52% in other flowcharts; p<0.01. Patients ≥70 years old were less frequently screened with ITTFO ≤10 min (76.2% vs 90.0% in those under 70; p=0.001) or the 'chest pain' flowchart (66.9% vs 77.5%; p=0.031). IHM was 13.3%. Triage with ≤10 min ITTFO and the 'chest pain' algorithm seems to predict a lower mortality (0.33 OR; 95% CI 0.17 to 0.63; p=0.0005 and 0.49 OR; 95% CI 0.24 to 1.03; p=0.056).
Conclusion: MT proved to be an effective system. Patients with typical AMI presentation, ST elevation myocardial infarction and less than 70 years old are protected by MT, with lower ITTFO and better short-term survival.
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http://dx.doi.org/10.1136/emj.2009.081497 | DOI Listing |
J Eval Clin Pract
February 2025
Department of Orthopaedics and Trauma, Gold Coast Hospital and Health Service, Southport, Queensland, Australia.
Rationale: Hospitals are increasingly utilising allied-health professionals to provide clinical triage to patients. While these positions are routinely implemented, and several observational studies have reported positive outcomes, the effectiveness of this intervention has been rarely tested in a clinical trial.
Aims And Objectives: The objectives of this study were to (i) evaluate a podiatry-led orthopaedic triage service using patient-reported outcome measures (PROMs), and (ii) determine if it is cost-effective in terms of incremental cost/quality-adjusted life years (QALYs).
BMJ Open Qual
January 2025
Division of Cardiovascular Sciences, The University of Manchester, Manchester, UK.
Introduction: Stroke is a leading cause of mortality and morbidity, demanding prompt and accurate identification. However, prehospital diagnosis is challenging, with up to 50% of suspected strokes having other diagnoses. A prehospital video triage (PHVT) system was piloted in Greater Manchester to improve prehospital diagnostic accuracy and appropriate conveyance decisions.
View Article and Find Full Text PDFInt J Clin Health Psychol
December 2024
University Hospital of Psychiatry I, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University of Innsbruck, Austria.
Background: The increasing prevalence of dementia and new therapeutic developments for Alzheimer's disease (AD) have created an urgent need for rapid and cost-effective methods to diagnose those affected in the early stages of the disease. Unlike emergency departments, memory clinics lack triage systems, e.g.
View Article and Find Full Text PDFJ Clin Nurs
December 2024
Department of Internal Medicine, Intermediate Care Unit, Hospital Alto Vicentino (AULSS-7), Santorso, Italy.
BMJ Health Care Inform
December 2024
Department of Computer Science, Durham University, Durham, UK
Objectives: Increasing operational pressures on emergency departments (ED) make it imperative to quickly and accurately identify patients requiring urgent clinical intervention. The widespread adoption of electronic health records (EHR) makes rich feature patient data sets more readily available. These large data stores lend themselves to use in modern machine learning (ML) models.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!