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. 2024 May 14;13(3):167-172.
doi: 10.34172/jcs.33239. eCollection 2024 Oct.

Development of the Acute Coronary Syndrome Predictive Scale

Shahla Elyaszadeh  1 , Sevda Gardashkhani  1 , Mehdi Heidarzadeh  2
Affiliations

Development of the Acute Coronary Syndrome Predictive Scale

Shahla Elyaszadeh et al. J Caring Sci. .

Abstract

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.

Keywords: Acute coronary syndrome; Predictive scale; Prodromal symptom; Psychometric properties.

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Conflict of interest statement

The authors declare that there are no conflicts of interest.

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