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Open AccessHighly AccessResearch article

Patients with suspected acute coronary syndrome in a university hospital emergency department: an observational study

Ulf Ekelund1,2 email, Hans-Jörgen Nilsson1 email, Attila Frigyesi1 email and Ole Torffvit1 email

1Department of Medicine, Lund University, Lund, Sweden

2Department of Physiological Sciences, Lund University, Lund, Sweden

author email corresponding author email

BMC Emergency Medicine 2002, 2:1doi:10.1186/1471-227X-2-1

Published: 3 October 2002

Abstract

Background

It is widely considered that improved diagnostics in suspected acute coronary syndrome (ACS) are needed. To help clarify the current situation and the improvement potential, we analyzed characteristics, disposition and outcome among patients with suspected ACS at a university hospital emergency department (ED).

Methods

157 consecutive patients with symptoms of ACS were included at the ED during 10 days. Risk of ACS was estimated in the ED for each patient based on history, physical examination and ECG by assigning them to one of four risk categories; I (obvious myocardial infarction, MI), II (strong suspicion of ACS), III (vague suspicion of ACS), and IV (no suspicion of ACS).

Results

4, 17, 29 and 50% of the patients were allocated to risk categories I-IV respectively. 74 patients (47%) were hospitalized but only 19 (26%) had ACS as the discharge diagnose. In risk categories I-IV, ACS rates were 100, 37, 12 and 0%, respectively. Of those admitted without ACS, at least 37% could probably, given perfect ED diagnostics, have been immediately discharged. 83 patients were discharged from the ED, and among them there were no hospitalizations for ACS or cardiac mortality at 6 months. Only about three patients per 24 h were considered eligible for a potential ED chest pain unit.

Conclusions

Almost 75% of the patients hospitalized with suspected ACS did not have it, and some 40% of these patients could probably, given perfect immediate diagnostics, have been managed as outpatients. The potential for diagnostic improvement in the ED seems large.


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