Development of an Initial Screening Scale to Detect Patients With Chest Pain From Acute Coronary Syndrome in the Emergency Department.

Abstract

Background: Identifying patients with chest pain potentially due to acute coronary syndrome (ACS) early is crucial for triage nurses. They need a reliable, validated screening tool.

Aims: This study aims to develop an initial screening scale to detect ACS in patients presenting with chest pain in the emergency department.

Methods: We analyzed electronic medical records of 3131 chest pain patients from 103,041 emergency department visits between January 2018 and December 2019. ACS diagnosis was confirmed by cardiologists through clinical symptoms, electrocardiograms, and cardiac enzyme levels. The study proceeded in four stages: (1) identifying potential ACS predictors through a literature review, (2) validating these predictors with experts, (3) comparing data between ACS and non-ACS patients and (4) developing a screening scale based on identified predictors. Statistical methods included univariate analysis and binary logistic regression. The scale's accuracy was assessed using ROC curve analysis and compared to existing tools.

Results: Eight significant ACS predictors were identified: male sex, age over 49 for males and over 65 for females, typical symptoms, initial pain scale score of 6 or higher, pain duration of at least 10 min, history of ACS, hypertension, and dyslipidemia. Each predictor was scored, with typical symptoms and severe pain receiving higher scores, totaling up to 10 points. A score of 6 or more indicated high ACS risk, demonstrating accuracy comparable to the HEART and TIMI score systems.

Conclusion: This study developed a new ACS screening scale for use by triage nurses in emergency departments. This scale can facilitate early detection and intervention for patients at high risk of ACS.