[The importance of clinical risk assessment in reducing the pathway of acute coronary syndrome].

Orv Hetil

1 Pécsi Tudományegyetem, Egészségtudományi Kar, Sürgősségi Ellátási és Egészségpedagógiai Intézet, Oxyológiai, Sürgősségi Ellátási Tanszék Pécs, Vörösmarty u. 4., 7621 Magyarország.

Published: July 2022

Introduction: Early diagnosis of acute coronary syndrome is emergency providers' task. In the last decade, vast amounts of clinical risk stratification scores were developed to decrease the hospital load of patients by selecting them properly. Objective: Together with the diagnostic and therapeutic challenges, decreasing treatment duration is essential for the improvement of acute coronary syndrome prognosis. Our aim was to assess the HEART score's time-and therapy -related effects on acute coronary syndrome detection as a decision support system. Method: We conducted a retrospective, quantitative study at a county state emergency department amongst patients with the myocardial infarction ICD codes. We assessed their admission time, the way they were delivered to the hos-pital, their presenting symptoms, vital parameters, chronic medical conditions, laboratory and imaging results and the time of their admission to the percutan intervention center. We calculated the HEART score retrospectively from the collected data. Results: Our sample size consisted of 360 people. Coronary artery disease (80%) and hypertension (73.3%) were the most common risk factors, while chest pain (80%) and shortness of breath (48.6%) were the most common com-plaints. Coronary artery disease, hypertension and diabetes are not related to percutan coronary intervention admis-sion times (p = 0.110; p = 0.173; p = 0.507). We found a correlation between the presence of chest pain and mortal-ity (p = 0.009). The calculated HEART score had a correlation with the fact of coronary intervention admission (p = 0.005). Conclusion: We conclude that the retrospectively calculated HEART score correlates with percutan coronary inter-vention admission. Choosing the proper risk stratification can increase the lifespan of the patients and hospital cost-efficiency.

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Source
http://dx.doi.org/10.1556/650.2022.32476DOI Listing

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