ArticleEuropean journal of emergency medicine : official journal of the European Society for Emergency Medicine2019
Enhanced triage for patients with suspected cardiac chest pain: the History and Electrocardiogram-only Manchester Acute Coronary Syndromes decision aid.
Article in European journal of emergency medicine : official journal of the European Society for Emergency Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Pooled it
- Observational
- External validation of the SCARE score in identifying acute coronary syndromes during medical regulation of chest pain.BMC emergency medicine · 2025Article
- Chest Pain Risk Stratification in the Emergency Department: Current Perspectives.Open access emergency medicine : OAEM · 2024Review
- The Ability of Emergency Medical Service Staff to Predict Emergency Department Disposition: A Prospective Study.Journal of multidisciplinary healthcare · 2023Article
- Development of Prediction Models for Acute Myocardial Infarction at Prehospital Stage with Machine Learning Based on a Nationwide Database.Journal of cardiovascular development and disease · 2022Article
- Observational
- Prehospital triage of patients with acute cardiac complaints: study protocol of HART-c, a multicentre prospective study.BMJ open · 2021Article
- Prehospital use of a modified HEART Pathway and point-of-care troponin to predict cardiovascular events.PloS one · 2020Article
- Value of Manchester Acute Coronary Syndromes Decision Rule in the Detection of Acute Coronary Syndrome; a Systematic Review and Meta-Analysis.Emergency (Tehran, Iran) · 2018Review
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
Abstract
objectivesSeveral decision aids can 'rule in' and 'rule out' acute coronary syndromes (ACS) in the Emergency Department (ED) but all require measurement of blood biomarkers. A decision aid that does not require biomarker measurement could enhance risk stratification at triage and could be used in the prehospital environment. We aimed to derive and validate the History and ECG-only Manchester ACS (HE-MACS) decision aid using only the history, physical examination and ECG.
methodsWe undertook secondary analyses in three prospective diagnostic accuracy studies that included patients presenting to the ED with suspected cardiac chest pain. Clinicians recorded clinical features at the time of arrival using a bespoke form. Patients underwent serial troponin sampling and 30-day follow-up for the primary outcome of ACS. The model was derived by logistic regression in one cohort and validated in two similar prospective studies.
resultsThe HE-MACS model was derived in 796 patients and validated in cohorts of 474 and 659 patients. HE-MACS incorporated age, sex, systolic blood pressure plus five historical variables to stratify patients into four risk groups. On validation, 5.5 and 12.1% (pooled total 9.4%) patients were identified as 'very low risk' (potential immediate rule out) with a pooled sensitivity of 99.5% (95% confidence interval: 97.1-100.0%).
conclusionUsing only the patient's history and ECG, HE-MACS could 'rule out' ACS in 9.4% of patients while effectively risk stratifying remaining patients. This is a very promising tool for triage in both the prehospital environment and ED. Its impact should be prospectively evaluated in those settings.
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