development of the acute coronary syndrome predictive scale

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.