In addition to today’s resource, please see and review:
- Links To And Excerpts From 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain
Posted on September 12, 2023 by Tom Wade MD - Links To And Excerpts From The “2022 ACC Expert Consensus Decision Pathway on the Evaluation and Disposition of Acute Chest In The Emergency Department” With Links To Additional Resources
Posted on September 13, 2023 by Tom Wade MD
Today, I review, link to, and excerpt from The value of Coronary Artery Disease – Reporting and Data System (CAD-RADS) in Outcome Prediction of CAD Patients; a Systematic Review and Meta-analysis [PubMed Abstract] Full-Text HTML] [Full-Text PDF]. Arch Acad Emerg Med. 2023 Jun 15;11(1):e45. doi: 10.22037/aaem.v11i1.1997. eCollection 2023.
All that follows is from the above resource.
Abstract
Introduction: Coronary computed tomographic angiography (CCTA) reporting has traditionally been operator-dependent, and no precise classification is broadly used for reporting Coronary Artery Disease (CAD) severity. The Coronary Artery Disease Reporting and Data Systems (CAD-RADS) was introduced to address the inconsistent CCTA reports. This systematic review with meta-analysis aimed to comprehensively appraise all available studies and draw conclusions on the prognostic value of the CAD-RADS classification system in CAD patients.
Method: Online databases of PubMed, Embase, Scopus, and Web of Science were searched until September 19th, 2022, for studies on the value of CAD-RADS categorization for outcome prediction of CAD patients.
Results: 16 articles were included in this systematic review, 14 of which had assessed the value of CAD-RADS in the prediction of major adverse cardiovascular events (MACE) and 3 articles investigated the outcome of all-cause mortality. Our analysis demonstrated that all original CAD-RADS categories can be a predictor of MACE [Hazard ratios (HR) ranged from 3.39 to 8.63] and all categories, except CAD-RADS 1, can be a predictor of all-cause mortality (HRs ranged from 1.50 to 3.09). Moreover, higher CAD-RADS categories were associated with an increased hazard ratio for unfavorable outcomes among CAD patients (p for MACE = 0.007 and p for all-cause mortality = 0.018).
Conclusion: The evidence demonstrated that the CAD-RADS classification system can be used to predict incidence of MACE and all-cause mortality. This indicates that the implementation of CAD-RADS into clinical practice, besides enhancing the communication between physicians and improving patient care, can also guide physicians in risk assessment of the patients and predicting their prognosis.
Keywords: CAD-RADS; Coronary artery disease; Reporting and Data System; Risk assessment.
