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Published on: August 9, 2024
Development of the Acute Coronary Syndrome Predictive Scale
Shahla Elyaszadeh1, Sevda Gardashkhani1, Mehdi Heidarzadeh2
1Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
Introduction:
The use of a predictive scale for acute coronary syndrome (ACS) can play an essential role in screening high-risk individuals. This study aimed to develop the ACS predictive scale (ACS-PS) and investigate its construct validity, reliability, sensitivity and specificity.
Methods:
This was a retrospective methodological study with the aim of developing a predictive scale for ACS in Iran in 2019. In this study, the content validity (content validity index [CVI] and content validity ratio [CVR]), construct validity, sensitivity, specificity, cutoff point and internal consistency of the 13-item scale for predicting ACS (in Persian) were investigated. Participants included patients with a definite diagnosis of ACS (n=150) and a healthy group without ACS (n=143).
Results:
The score range of the 13-item scale was 0-130, and with a cutoff point of 11.5, both the sensitivity and specificity of the scale were 0.75. Cronbach's alpha coefficient was 0.80.
Conclusion:
The present study introduced a sensitive and specific scale for predicting ACS. The ACS-PS is a partially short-form scale and requires less time to complete.
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