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In daily clinical routine, the evaluation of new-onset and stable chest pain (SCP) suggestive of chronic coronary syndrome (CCS) remains a challenge for physicians. Although coronary computed tomography angiography (CCTA) seems to be the first-line cardiac imaging testing (CIT) according to the recommendations from current guidelines, the optimal diagnostic strategy to identify low risk patients who may derive minimal benefit from further CIT is the cornerstone of clinical management for SCP. Recently, different diagnostic strategies were provided to effectively defer unnecessary CIT, but few studies have prospectively determined the actual effect of applying these strategies in clinical practice. Therefore, the OPERATE study was designed to compare the effectiveness and safety of two proposed diagnostic strategies in identification of low risk individual who may derive minimal benefit from CCTA among patients with SCP suggestive of CCS in a pragmatic randomized controlled trial (RCT).
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OPERATE trial was an investigator-initiated, multicenter, prospective, CCTA-based, 2-arm 1:1 parallel-group, double-blind and pragmatic RCT planned to include 800 subjects with SCP suggestive of CCS. Subjects were assigned randomly to two groups: 1) 2016 National Institutes for Clinical Excellence guidelines-determined diagnostic strategy (NICE strategy) and 2) 2019 European Society of Cardiology guidelines-determined diagnostic strategy (ESC strategy) The primary objective of OPERATE trial is to compare the rates of CCTA without obstructive CAD according to NICE and ESC strategy. The key secondary objective is to assess whether the two strategies have no significant difference in terms of major adverse cardiac events (MACE). The investigators hypothesize that when comparing with NICE strategy, ESC strategy which sequentially incorporated the ESC-PTP model with RF-CL model will decrease the probability of CCTA without obstructive CAD but not at the expense of safety and cost over a follow-up period of 1 year.
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800 participants in 2 patient groups
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Jia Zhou, MD
Data sourced from clinicaltrials.gov
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