Therapeutics and Clinical Risk Management (Apr 2023)

Comparison and Optimization of Cardiovascular Risk Scores in Predicting the 4-Year Outcome of Patients with Obstructive Coronary Arteries Disease

  • Qiu T,
  • Liang C,
  • Ming B,
  • Liu G,
  • Zhang F,
  • Zeng R,
  • Xie D,
  • Zou Q

Journal volume & issue
Vol. Volume 19
pp. 319 – 328

Abstract

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Taichun Qiu, Chunxiao Liang, Bing Ming, Gaoyuan Liu, Furong Zhang, Ruxue Zeng, Dongmei Xie, Qing Zou Department of Radiology, Deyang People’s Hospital, Deyang, Sichuan, People’s Republic of ChinaCorrespondence: Qing Zou, Department of Radiology, Deyang People’s Hospital, 173# Section 3 Tai Shan Road, Deyang, Sichuan, People’s Republic of China, Tel +86 15283804266, Email [email protected]: How well cardiovascular risk models perform in selected atherosclerosis patients for predicting outcomes is unknown. We sought to compare the performance of cardiovascular risk models (Framingham, Globorisk, SCORE2 & SCORE2-OP, and an updated new model) in predicting the 4-year outcome of patients with obstructive coronary artery disease (CAD).Methods: Patients with suspected CAD who underwent coronary computed tomography angiography (CCTA) were recruited. Obstructive CAD was defined from CCTA as ≥ 50% stenosis. Computed tomography images, the scores of the cardiovascular risk models, and 4-year composite endpoints were assessed. Whether the patients underwent revascularization within 60 days after CCTA was also recorded. Multivariate regression analysis and receiver operating characteristics (ROC) curve analysis were performed.Results: A total of 95 patients (mean age: 69.5 ± 10.33 years; 69 males) with obstructive CAD were included in this study. After the ROC analysis, the Framingham, Globorisk, SCORE2 & SCORE2-OP risk score showed prediction values with AUC 0.628 (95% CI: 0.532– 0.725), 0.647 (95% CI: 0.542– 0.742), 0.684 (95% CI: 0.581– 0.776), respectively. Multivariate regression analysis showed that, among the three risk models, only SCORE2 & SCORE2-OP risk score was associated with composite endpoints (hazard ratio: 1.050; 95% CI: 1.021– 1.079; p = 0.001) after adjusting for confounding factors. The AUC of the new risk model by combing SCORE2 & SCORE2-OP risk score with revascularization and the number of obstructive vessels in predicting composite endpoints reached 0.898 (95% CI: 0.819– 0.951).Conclusion: The SCORE2 & SCORE2-OP risk score combined with the number of obstructive vessels and revascularization is predictive for adverse outcomes in patients with obstructive CAD.Graphical Abstract: Keywords: coronary computed tomography, obstructive coronary artery disease, cardiovascular risk factors, prediction model

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