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European Heart Journal 1995 16(3):325-332;
Copyright © 1995 by the European Society of Cardiology.
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© 1995 The European Society of Cardiology

Pre-hospital triage of patients with suspected myocardial infarction

Evaluation of previously developed algorithms and new proposals

E. W. M. GRUSEELS*,{dagger},, J. W. DECKERS*, A. W. HOES{dagger},§, J. A. M. HARTMAN{ddagger}, E. DER VAN DOES{dagger}, E. VAN LOENEN{ddagger} and M. L. SIMOONS*

*Thoraxcentre, Cardiology, Erasmus University Rotterdam The Netherlands
{dagger}Department of General Practice, Erasmus University Rotterdam The Netherlands
{ddagger}Municipal Health Department Rotterdam The Netherlands
§Department of Epidemiology/Biostatistics, Erasmus University Rotterdam The Netherlands

revised 5 August 1994; accepted 10 August 1994.

Correspondence: E. W. M. Grijseels, MD, Academisch Ziekenhuis Rotterdam, room Bd 377, Dr. Molewaterplein 40, 3015 GD Rotterdam, The Netherlands.

Abstract

Objective:To evaluate previously developed algorithms for the improvement of pre-hospital triage of patients with suspected acute cardiac disease.

Design:Prospective study.

Subjects:Patients with symptoms of possible cardiac origin, who were seen by a general practitioner and subsequently referred to hospital in the municipality of Rotterdam.

Methods:Prior to hospital admission, patients with suspected acute coronary disease recorded their symptoms by standardized questionnaire and a computerized ECG was made. All patients were hospitalized and a final diagnosis was established. Algorithms, proposed by other investigators to distinguish patients with, from those without, acute cardiac disease were tested.

Main outcome:Identification of patients whose likelihood for acute cardiac pathology was low (stable angina, atypical chest pain, oilier pathology) or high (myocardial infarction, unstable angina).

Results:A total of 1005 patients were studied. Forty-two percent had myocardial infarction or unstable angina pectoris. Evaluation of previously developed algoritlims showed that their diagnostic accuracy was poor in the pre-hospital setting. In a separate multivariate analysis, six cliaracteristics from the clinical history and an electrocardiogram appeared to be independently and significantly associated with acute cardiac pathology. The presence of an abnormal ECG proved to be the most important predictor.

Conclusions:The hospital-based algorithms were unsuitable as a predictor for pre-hospital acute cardiac pathology. A new practical hospital admission model was developed, based on six clinical predictors, including analysis of an electrocardiogram Following appropriate validation, this out-of hospital protocol may lead to better triage decisions by the general practitioner.

Key Words: Hospital admission • thrombolysis • myocardial infarction


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