Acute coronary syndromes diagnosis, version 2.0: Tomorrow's approach to diagnosing acute coronary syndromes?
Richard Body1,2,3
1Division of Cardiovascular Sciences, The University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom.
Insights
New decision aids like the Troponin-only Manchester Acute Coronary Syndromes (T-MACS) tool can rapidly rule out acute coronary syndrome (ACS) in emergency departments. This approach aims to reduce unnecessary hospital admissions for chest pain patients.
Area of Science:
- Cardiology
- Emergency Medicine
- Diagnostic Tools
Background:
- Chest pain is a common reason for Emergency Department (ED) visits, often leading to prolonged hospital stays for diagnostic testing.
- Current diagnostic protocols for acute coronary syndrome (ACS) involve serial biomarker testing, resulting in over-investigation for many patients.
- Advancements in diagnostic technology, including high-sensitivity cardiac troponin (hs-cTn) assays, offer opportunities to streamline ACS diagnosis.
Purpose of the Study:
- To present the principles behind the development of the Troponin-only Manchester Acute Coronary Syndromes (T-MACS) decision aid.
- To explore the potential of T-MACS in ruling out and ruling in ACS with a single blood test.
- To discuss future applications of T-MACS, including AI and personalized medicine.
Main Methods:
- Overview of the development principles for the T-MACS decision aid.
- Discussion of existing decision aids like TIMI and HEART scores.
- Exploration of hs-cTn assay capabilities for rapid ACS rule-out.
Main Results:
- The T-MACS model aims to provide a probability of ACS after a single blood test.
- hs-cTn assays allow for ruling out ACS with one or two samples within hours.
- Existing scores (TIMI, HEART) facilitate rapid ACS rule-out in ED settings.
Conclusions:
- The T-MACS decision aid offers a novel approach to ACS diagnosis using a troponin-only strategy.
- This tool has the potential to significantly reduce unnecessary hospital admissions for chest pain.
- Future integration with AI and personalized medicine could further enhance ACS management.
Abstract:
Chest pain accounts for approximately 6% of Emergency Department (ED) attendances and is the most common reason for emergency hospital admission. For many years, our approach to diagnosis has required patients to stay in hospital for at least 6-12 h to undergo serial biomarker testing. As less than one fifth of the patients undergoing investigation actually has an acute coronary syndrome (ACS), there is tremendous potential to reduce unnecessary hospital admissions. Recent advances in diagnostic technology have improved the efficiency of care pathways. Decision aids such as the Thrombolysis in Myocardial Infarction (TIMI) risk score and the History, Electrocardiogram, Age, Risk factors and Troponin (HEART) score enable rapid 'rule out' of ACS within hours of patients arriving in the ED. With high sensitivity cardiac troponin (hs-cTn) assays, approximately one third of patients can have ACS 'ruled out' with a single blood test, and up to two thirds could have an acute myocardial infarction 'ruled out' with a second sample taken after as little as 1 h. Building on those recent advances, this paper presents an overview of the principles behind the development of the Troponin-only Manchester Acute Coronary Syndromes (T-MACS) decision aid. This clinical prediction model could be used to 'rule out' and 'rule in' ACS following a single blood test and to calculate the probability of ACS for every patient. The future potential of this approach is then addressed, including practical applications of artificial intelligence, shared decision making, near-patient testing and personalized medicine.
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