Development of the Acute Coronary Syndrome Predictive Scale

Area of Science:

• Cardiology
• Medical Informatics
• Health Screening

Background:

• Acute coronary syndrome (ACS) requires effective screening tools for high-risk individuals.
• Developing validated predictive scales is crucial for early detection and intervention.
• Existing screening methods may benefit from enhanced predictive accuracy and efficiency.

Purpose of the Study:

• To develop and validate the Acute Coronary Syndrome Predictive Scale (ACS-PS).
• To assess the construct validity, reliability, sensitivity, and specificity of the ACS-PS.
• To establish a reliable tool for identifying individuals at high risk of ACS.

Main Methods:

• A retrospective methodological study conducted in Iran (2019).
• Involved developing a 13-item Persian scale to predict ACS.
• Investigated content validity (CVI, CVR), construct validity, sensitivity, specificity, cutoff point, and internal consistency using ACS patients (n=150) and a healthy control group (n=143).

Main Results:

• The 13-item ACS-PS has a score range of 0-130.
• A cutoff point of 11.5 yielded a sensitivity and specificity of 0.75.
• Internal consistency, measured by Cronbach's alpha, was 0.80, indicating good reliability.

Conclusions:

• The ACS-PS is a sensitive and specific tool for predicting ACS.
• This partially short-form scale is efficient, requiring less completion time.
• The ACS-PS offers a valuable addition to cardiovascular risk assessment tools.