A simple coronary CT angiography-based jeopardy score for the identification of extensive coronary artery disease: Validation against invasive coronary angiography - 30/03/24
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Highlights |
• | A simple coronary CT angiography (CCTA)-based jeopardy score was validated against invasive British Cardiovascular Intervention Society Jeopardy Score (iBCIS-JS) in 122 patients with suspected or stable coronary artery disease. |
• | The CCTA-based jeopardy score has high agreement and reproducibility compared to invasive BCIS-JS. |
• | CCTA-based identification of anatomically extensive coronary artery disease is feasible and highly accurate. |
Abstract |
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.
Il testo completo di questo articolo è disponibile in PDF.Key words : Coronary artery disease, Coronary CTA, Invasive coronary angiography, Jeopardy score, Validation study
Abbreviations : BMI, CAC, CAD, CI, ICA, CTA, CCTA, CABG, CT-BCIS-JS, CT-FFR, EAPCI, HU, iBCIS-JS, LV, mSv, SCCT, SD, SYNTAX
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Vol 105 - N° 4
P. 151-158 - aprile 2024 Ritorno al numero
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