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Coronary Artery Disease Reporting and Data System (CAD-RADS) was created to standardize reporting system for patients undergoing coronary CT angiography (CCTA) and to guide possible next steps in patient management. The goal of this updated 2022 CAD-RADS 2.0 is to improve the initial reporting system for CCTA by considering new technical developments in Cardiac CT, including data from recent clinical trials and new clinical guidelines. The updated CAD-RADS classification will follow an established framework of stenosis, plaque burden, and modifiers, which will include assessment of lesion-specific ischemia using CT fractional-flow-reserve (CT-FFR) or myocardial CT perfusion (CTP), when performed. Similar to the method used in the original CAD-RADS version, the determinant for stenosis severity classification will be the most severe coronary artery luminal stenosis on a per-patient basis, ranging from CAD-RADS 0 (zero) for absence of any plaque or stenosis to CAD-RADS 5 indicating the presence of at least one totally occluded coronary artery. Given the increasing data supporting the prognostic relevance of coronary plaque burden, this document will provide various methods to estimate and report total plaque burden. The addition of P1 to P4 descriptors are used to denote increasing categories of plaque burden. The main goal of CAD-RADS, which should always be interpreted together with the impression found in the report, remains to facilitate communication of test results with referring physicians along with suggestions for subsequent patient management. In addition, CAD-RADS will continue to provide a framework of standardization that may benefit education, research, peer-review, artificial intelligence development, clinical trial design, population health and quality assurance with the ultimate goal of improving patient care.
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http://dx.doi.org/10.1016/j.jcct.2022.07.002 | DOI Listing |
Circ Genom Precis Med
September 2025
Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China (J.Z., S.R., L.C., M.C., F.T., B.A., Y.Y., H.L.).
Background: Previous studies have suggested that the associations between ambient air pollution and atherosclerotic cardiovascular diseases (ASCVD) differ by genotype. A genome-wide approach provides a more comprehensive understanding of this relationship on a genomic scale.
Methods: Using data from ≈300 000 UK Biobank participants, we conducted a genome-wide interaction analysis on 10 745 802 variants.
Circ Genom Precis Med
September 2025
Division of Cardiology, Emory University School of Medicine, Atlanta, GA. (A.K.Y., A.C.R., L.S.S., A.A.Q., Y.V.S.).
Background: Cardio-kidney-metabolic (CKM) disease represents a significant public health challenge. While proteomics-based risk scores (ProtRS) enhance cardiovascular risk prediction, their utility in improving risk prediction for a composite CKM outcome beyond traditional risk factors remains unknown.
Methods: We analyzed 23 815 UK Biobank participants without baseline CKM disease, defined by -Tenth Revision codes as cardiovascular disease (coronary artery disease, heart failure, stroke, peripheral arterial disease, atrial fibrillation/flutter), kidney disease (chronic kidney disease or end-stage renal disease), or metabolic disease (type 2 diabetes or obesity).
Future Cardiol
September 2025
Department of Internal Medicine, Valley Health System Graduate Medical Education, Las Vegas, NV, USA.
A 71-year-old black male with a history of hypertension, dyslipidemia, type 2 diabetes, history of bladder cancer status-post resection now in remission, history of multiple transient ischemic attacks, and coronary artery disease (CAD) presented with non-exertional substernal chest pain radiating to the left arm, accompanied by shortness of breath and nausea. Initial evaluation revealed elevated troponins and nonspecific electrocardiogram changes, consistent with non-ST elevation myocardial infarction. Coronary angiography demonstrated severe multivessel disease, including critical left main stenosis.
View Article and Find Full Text PDFJ Biomed Res
September 2025
Internal medicine department, Faculty of Medicine, Universitas Udayana/Ngoerah hospital, Denpasar, Bali, Indonesia.
Cardiol Young
September 2025
Department of Anesthesiology and Reanimation, Haydarpasa Numune Training and Research Hospital, Istanbul, Turkey.
Objectives: This study aimed to evaluate the predictive accuracy of Paediatric Risk of Mortality-III, Paediatric Index of Mortality-II, and Paediatric Logistic Organ Dysfunction scoring systems for major adverse events following congenital heart surgery.
Methods: This prospective observational study included patients under 18 years of age who were admitted to the ICU for at least 24 hours postoperatively following congenital heart surgery. Major adverse events were defined as a composite of 30-day mortality, ICU readmission, reintubation, acute neurologic events, requirement for extracorporeal membrane oxygenation, cardiac arrest requiring cardiopulmonary resuscitation, need for a permanent pacemaker, acute kidney injury, or unplanned reoperation.