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Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: BACKGROUND, RESULTS. Meshes: Aged, Carotid Artery Diseases, Coronary Angiography, Coronary Artery Disease, Decision Support Techniques, Female, Humans, Logistic Models, Male, Middle Aged, Prevalence, Prognosis, Risk Assessment, Severity of Illness Index, Ultrasonography, Doppler, Color.
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Does sYNTAX Score II predict carotid disease in a multivessel coronary disease population? Context: The SYNTAX Score (SxScore) is an angiographic tool that evaluates CAD complexity, which we previously reported lacking correlation with the presence of carotid disease. Recently, SxScore II has been developed including both angiographic and clinical variables, which could increase the prognostic accuracy for detection of carotid disease. From January 2013 to June 2014, 244 patients with multivessel CAD (mean age 65.37 years, 84% males) underwent carotid ultrasound scan. At least one carotid lesion (CL) was found in 77% of patients with significant carotid disease (SCD) in 23.4% of cases. Logistic regression analysis revealed no relation between SxScore and CL/SCD (p=0.781 and p=0.368) while SxScore II well correlated with CL (SxScore II-PCI: odds ratio [OR] 1.036; 95% confidence interval [CI]:1.006-1.067; p=0.019; SxScore II-CABG: OR 1.045; 95% CI: 1.015-1.076, p=0.003) and SCD (SxScore II-PCI: OR 1.042; 95% CI: 1.012-1.073, p=0.006; SxScore-CABG: OR 1.054; 95% CI: 1.029-1.080, p<0.0001). The areas under the receiver-operating characteristic curves were: for SxScore 0.512 (95% CI: 0.448-0.577; p=0.77), for SxScore II-PCI and SxScore II-CABG 0.600 (95% CI: 0.536-0.662; p=0.01) and 0.645 (95% CI: 0.581-0.705; p=0.0008), respectively, and 0.527 (95% CI 0.462-0.591; p=0.56), 0.619 (95% CI: 0.555-0.681; p=0.01) and 0.681 (95% CI: 0.619-0.739; p=0.0001), respectively, for the identification of SCD.
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The SxScore II, with inclusion of clinical variables over angiographic complexity, seems more suited to predict the presence of carotid disease than the SxScore. Final Decision: yes