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Revista argentina de cardiología

On-line version ISSN 1850-3748

Abstract

COSTABEL, Juan P. et al. Evaluation of a New Diagnostic Algorithm for Acute Coronary Syndrome Using High-Sensitivity Troponin T Assay. Rev. argent. cardiol. [online]. 2014, vol.82, n.4, pp.316-315. ISSN 1850-3748.

Introduction Chest pain represents 5 to 10% of annual visits to emergency departments. Its diagnosis is sometimes difficult, with the added problem of inappropriate discharge of patients with acute coronary syndrome or unnecessary hospitalizations. This has led to the development of different algorithms for the evaluation of these patients. Objective The aim of this study was to validate, in terms of safety and length of hospital stay, a novel algorithm incorporated in our center, which includes measurement of high-sensitivity troponin T in patients with suspected acute coronary syndrome. Methods               The study included 528 consecutive patients attending the emergency department with suspected acute coronary syndrome and evaluated according to the chest pain unit protocol. Clinical and laboratory variables and functional tests were analyzed. Follow-up at 30 days was performed in all the patients. Results After observation, 90.7% of the patients were discharged and 1.25% presented a cardiovascular event during follow-up, represented by percutaneous coronary intervention and hospitalization due to acute coronary syndrome. The specificity of the global algorithm for the diagnosis of acute coronary syndrome was 97% with a negative predictive value of 99%. Emergency department length of stay was 4.5 ± 2.5 hours for all the patients. Conclusion The novel algorithm incorporated in our center with measurement of high-sensitivity troponin T in patients with suspected acute coronary syndrome has proved to be safe, as it prevents the discharge of patients with acute coronary syndrome and at the same time reduces emergency department length of stay.

Keywords : Acute Coronary Syndrome; Chest Pain Units; High-sensitive Troponin T.

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