Key result
CT-based BCIS-JS accurately identifies extensive CAD with almost perfect agreement to invasive BCIS-JS.
Why the study?
The study aimed to develop and validate a coronary CT angiography-based British Cardiovascular Intervention Society Jeopardy Score (CT-BCIS-JS) against the invasive iBCIS-JS in patients with suspected or stable CAD.
Does the CT-BCIS-JS accurately correlate with the iBCIS-JS for identifying extensive coronary artery disease in patients with suspected or stable CAD?
Observational (n=122)
Does the CT-BCIS-JS accurately correlate with the iBCIS-JS for identifying extensive coronary artery disease in patients with suspected or stable CAD?
The CT-BCIS-JS provides an accurate, non-invasive alternative to invasive angiography for quantifying jeopardized myocardium and identifying extensive CAD.
CT-BCIS-JS may support non-invasive CAD quantification; leaves open prospective validation before any practice change.
PURPOSE: The invasive British Cardiovascular Intervention Society Jeopardy Score (iBCIS-JS) is a simple angiographic scoring system, enabling quantification of the extent of jeopardized myocardium related to clinically significant coronary artery disease (CAD). The purpose of this study was to develop and validate the coronary CT angiography-based BCIS-JS (CT-BCIS-JS) against the iBCIS-JS in patients with suspected or stable CAD. MATERIALS AND METHODS: Patients who underwent coronary CT angiography followed by invasive coronary angiography, within 90 days were retrospectively included. CT-BCIS-JS and iBCIS-JS were calculated, with a score ≥ 6 indicating extensive CAD. Correlation between the CT-BCIS-JS and iBCIS-JS was searched for using Spearman's coefficient, and agreement with weighted Kappa (κ) analyses. RESULTS: A total of 122 patients were included. There were 102 men and 20 women with a median age of 62 years (Q1, Q3: 54, 68; age range: 19-83 years). No differences in median CT-BCIS-JS (4; Q1, Q3: 0, 8) and median iBCIS-JS (4; Q1, Q3: 0, 8) were found (P = 0.18). Extensive CAD was identified in 53 (43.4%) and 52 (42.6%) patients using CT-BCIS-JS and iBCIS-JS, respectively (P = 0.88). CT-based and iBCIS-JS showed excellent correlation (r = 0.98; P < 0.001) and almost perfect agreement (κ = 0.93; 95% confidence interval: 0.90-0.97). Agreement for identification of an iBCIS-JS ≥ 6 was almost perfect (κ = 0.94; 95 % confidence interval: 0.87-0.99). CONCLUSION: The CT-BCIS-JS represents a feasible, and accurate method for quantification of CAD, with capabilities not different from those of iBCIS-JS. It enables simple, non-invasive identification of patients with anatomically extensive CAD.
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Schaab et al. (2023) conducted an observational in Suspected or stable CAD (n=122). Coronary CT angiography-based BCIS-JS (CT-BCIS-JS) vs. Invasive BCIS-JS (iBCIS-JS) was evaluated on Identification of extensive CAD (score ≥ 6) (κ 0.94, 95% CI 0.87-0.99, p=0.88). The coronary CT angiography-based BCIS-JS accurately identified extensive coronary artery disease with almost perfect agreement to the invasive BCIS-JS (κ = 0.94; 95% CI 0.87-0.99).
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