Objectives: This study aimed to evaluate the ability of coronary artery calcium (CAC) as an initial diagnostic tool to rule out obstructive coronary artery disease (CAD) in a very large registry of patients presenting to the emergency department (ED) with acute chest pain (CP) who were at low to intermediate risk for acute coronary syndrome (ACS).
Background: It is not yet well established whether CAC can be used to rule out obstructive CAD in the ED setting.
Methods: We included patients from the Baptist Health South Florida Chest Pain Registry presenting to the ED with CP at low to intermediate risk for ACS (Thrombolysis In Myocardial Infarction risk score ≤2, normal/nondiagnostic electrocardiography, and troponin levels) who underwent CAC and coronary computed tomography angiography (CCTA) procedures for evaluation of ACS. To assess the diagnostic accuracy of CAC testing to diagnose obstructive CAD and identify the need for coronary revascularization during hospitalization, we estimated sensitivity, specificity, positive predictive values (PPV), and negative predictive values (NPV).
Results: Our study included 5,192 patients (mean age: 53.5 ± 10.8 years; 46% male; 62% Hispanic). Overall, 2,902 patients (56%) had CAC = 0, of which 135 (4.6%) had CAD (114 [3.9%] nonobstructive and 21 [0.7%] obstructive). Among those with CAC >0, 23% had obstructive CAD. Sensitivity, specificity, PPV, and NPV of CAC testing to diagnose obstructive CAD were 96.2%, 62.4%, 22.4%, and 99.3%, respectively. The NPV for identifying those who needed revascularization was 99.6%. Among patients with CAC = 0, 11 patients (0.4%) underwent revascularization, and the number needed to test with CCTA to detect 1 patient who required revascularization was 264.
Conclusions: In a large population presenting to ED with CP at low to intermediate risk, CAC = 0 was common. CAC = 0 ruled out obstructive CAD and revascularization in more than 99% of the patients, and <5% with CAC = 0 had any CAD. Integrating CAC testing very early in CP evaluation may be effective in appropriate triage of patients by identifying individuals who can safely defer additional testing and more invasive procedures.
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http://dx.doi.org/10.1016/j.jcmg.2021.06.027 | DOI Listing |
Eur Radiol
January 2025
Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
Objectives: The use of deep learning models for quantitative measurements on coronary computed tomography angiography (CCTA) may reduce inter-reader variability and increase efficiency in clinical reporting. This study aimed to investigate the diagnostic performance of a recently updated deep learning model (CorEx-2.0) for quantifying coronary stenosis, compared separately with two expert CCTA readers as references.
View Article and Find Full Text PDFCureus
December 2024
Department of Invasive Cardiology, University Hospital "St. Marina", Varna, BGR.
Background Cardiovascular diseases (CVDs) are the leading cause of mortality worldwide, with coronary artery disease (CAD) being the primary contributor. Periodontitis, a common non-communicable disease, has been associated with an increased risk of CVD. Previous studies have suggested a link between the severity of periodontitis and the degree of coronary artery obstruction.
View Article and Find Full Text PDFEuroIntervention
January 2025
Department of Cardiology, Hospital Clínico San Carlos IDISSC, CIBER-CV, Madrid, Spain and Universidad Complutense de Madrid, Madrid, Spain.
Background: The diagnostic yield of invasive coronary angiography (ICA) in patients with chronic coronary syndromes (CCS) in contemporary practice is uncertain.
Aims: We investigated the value of an advanced invasive diagnosis (AID) strategy combining angiography and intracoronary testing.
Methods: AID-ANGIO is an all-comers, prospective, multicentre study enrolling CCS patients referred for ICA.
J Clin Med
December 2024
Department of Cardiology, Patras University Hospital, 26504 Patras, Greece.
Approximately 50% of individuals eligible for transcatheter aortic valve implantation (TAVI) have coronary artery disease (CAD). The influence of CAD, both its prevalence and severity, on post-TAVI clinical results has yielded conflicting findings. Recent research has shown positive results for the use of computed tomography angiography and functional percutaneous evaluation of coronary lesions in the pre-TAVI assessment, besides the classic coronary angiography.
View Article and Find Full Text PDFEur Heart J Cardiovasc Imaging
January 2025
Sorbonne Université, unité d'imagerie cardiovasculaire et thoracique, Hôpital La Pitié Salpêtrière (AP-HP), Laboratoire d'Imagerie Biomédicale, INSERM, CNRS, Institute of Cardiometabolism and Nutrition, ACTION Group, Paris, France.
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