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Within the UK, chest pain is one of the most common reasons for emergency (999) ambulance calls and the most common reason for emergency hospital admission. Diagnosing acute coronary syndromes (ACS) in a patient with chest pain in the prehospital setting by a paramedic is challenging. The Troponin-only Manchester Acute Coronary Syndromes (T-MACS) decision rule is a validated tool used in the emergency department (ED) to stratify patients with suspected ACS following a single blood test.We are seeking to evaluate the diagnostic accuracy of the T-MACS decision aid algorithm to 'rule out' ACS when used in the prehospital environment with point-of-care troponin assays. If successful, this could allow paramedics to immediately rule out ACS for patients in the 'very low risk' group and avoid the need for transport to the ED, while also risk stratifying other patients using a single blood sample taken in the prehospital setting.
Pubmed ID: 31662404
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The American Heart Association (AHA) publishes medical scientific statements on various cardiovascular disease and stroke topics. AHA volunteer scientists and healthcare professionals write the papers. The statements are supported by scientific studies published in recognized journals and have a rigorous review and approval process. Scientific statements generally include a review of data available on a specific subject, an evaluation on its relationship to overall cardiovascular disease science, and often an American Heart Association position on the basis of that evaluation. The American Heart Association sponsors accredited scientific conferences and professional development seminars to disseminate new and emerging scientific knowledge and stimulate discussion on future research and the application of knowledge. Keywords: Heart, Cardiovascular, Disease, Stroke, Volunteer, Scientist, Healthcare, Development, Knowledge,
View all literature mentionsHPMR is a database of human plasma membrane ligands and receptors. Users can search for ligands or receptors to reveal their pairing partners and browse through ligand or receptor families to identify ligand-receptor relationships. Users can also submit their own microarray data to perform online genome-wide online searches for paracrine/autocrine signaling systems. Survey of transcriptomes based on liganded receptome allows the discovery of paracrine/autocrine signaling for known ligand-receptor pairs in previously uncharacterized tissues or developmental stages.
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