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Volume 81, Issue 3, Pages 281-286 (March 2010)


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The value of symptoms and signs in the emergent diagnosis of acute coronary syndromes

Richard BodyaCorresponding Author Informationemail address, Simon Carleya, Christopher Wibberleyb, Garry McDowella, Jamie Fergusona, Kevin Mackway-Jonesa

Received 16 August 2009; received in revised form 5 November 2009; accepted 23 November 2009. published online 28 December 2009.

Abstract 

Objective

Patient history and physical examination are widely accepted as cornerstones of diagnosis in modern medicine. We aimed to assess the value of individual historical and examination findings for diagnosing acute myocardial infarction (AMI) and predicting adverse cardiac events in undifferentiated Emergency Department (ED) patients with chest pain.

Methods

We prospectively recruited patients presenting to the ED with suspected cardiac chest pain. Clinical features were recorded using a custom-designed report form. All patients were followed up for the diagnosis of AMI and the occurrence of adverse events (death, AMI or urgent revascularization) within 6 months.

Results

AMI was diagnosed in 148 (18.6%) of the 796 patients recruited. Following adjustment for age, sex and ECG changes, the following characteristics made AMI more likely (adjusted odds ratio, 95% confidence intervals): pain radiating to the right arm (2.23, 1.24–4.00), both arms (2.69, 1.36–5.36), vomiting (3.50, 1.81–6.77), central chest pain (3.29, 1.94–5.61) and sweating observed (5.18, 3.02–8.86). Pain in the left anterior chest made AMI significantly less likely (0.25, 0.14–0.46). The presence of rest pain (0.67, 0.41–1.10) or pain radiating to the left arm (1.36, 0.89–2.09) did not significantly alter the probability of AMI.

Conclusions

Our results challenge many widely held assertions about the value of individual symptoms and signs in ED patients with suspected acute coronary syndromes. Several ‘atypical’ symptoms actually render AMI more likely, whereas many ‘typical’ symptoms that are often considered to identify high-risk populations have no diagnostic value.

a Emergency Department, Manchester Royal Infirmary, Oxford Road, Manchester M13 9WL, United Kingdom

b Manchester Metropolitan University, Hathersage Road, Manchester M13 0JA, United Kingdom

Corresponding Author InformationCorresponding author at: Stockport Foundation NHS Trust, Emergency Department, Poplar Grove, Stepping Hill Hospital, Stockport SK2 7JE, England, United Kingdom. Tel.: +44 0161 419 4101.

 A Spanish translated version of the summary of this article appears as Appendix in the final online version at doi:10.1016/j.resuscitation.2009.11.014.

PII: S0300-9572(09)00595-4

doi:10.1016/j.resuscitation.2009.11.014


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