Medical and Health Sciences

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https://hdl.handle.net/20.500.11888/18295

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Browsing Medical and Health Sciences by Author "Abu Amer, Salam"

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    SIGNIFICANCE OF HEART SCORE IN CHEST PAIN PATIENT AT EMERGENCY DEPARTMENT
    (An-Najah National University, 2025-06-19) Abu Amer, Salam
    Background: Chest pain is one of the most common symptoms of patients presenting to the Emergency Department (ED), and the diagnosis of chest pain poses significant challenges. This study evaluates the effectiveness of the HEART score in risk stratification of these patients according to the susceptibility of Acute Coronary Syndrome (ACS), compared to traditional clinical diagnosis, at an Emergency Department of Northwest Bank Central Hospital. Methods: A retrospective cohort study was conducted in a central North West Bank hospital, involving 247 patients were complaining of chest pain as a presenting symptom, to assess the susceptibility of ACS. Patients were randomly assigned to either the HEART score group (n=124) or the control group (n=123). The primary outcome was the occurrence of Major Adverse Cardiac Events (MACE) within 6 weeks. Results: The HEART score group demonstrated a significantly lower occurrence of MACE in comparison to the control group (2.4% vs 8.1%, p=0.044). The HEART score effectively stratified patients into low (54.8%), intermediate (22.6%), and high (22.6%) risk categories, guiding the selection of appropriate interventions. While the admission rates were higher in the HEART group, suggesting more precise risk-based hospitalization, and similar time for length of stay at the ED. Conclusion: Introducing the use of the HEART score in classifying Emergency Department (ED) chest pain presenting patients will significantly reduce the occurrence of MACE (2.4% HEART group vs. 8.1% traditional clinical diagnosis, p=0.044), validating its use as a safer, more efficient risk-stratification tool. The implementation of the HEART score can regulate the care provided for chest pain patients in resource-limited settings. improving patient outcomes and potentially optimizing resource utilization.