Literature DB >> 31547994

Risk Reclassification With Coronary Computed Tomography Angiography-Visualized Nonobstructive Coronary Artery Disease According to 2018 American College of Cardiology/American Heart Association Cholesterol Guidelines (from the Coronary Computed Tomography Angiography Evaluation for Clinical Outcomes : An International Multicenter Registry [CONFIRM]).

Donghee Han1, Ashley Beecy2, Khalil Anchouche2, Heidi Gransar3, Patricia C Dunham2, Ji-Hyun Lee4, Stephan Achenbach5, Mouaz H Al-Mallah6, Daniele Andreini7, Daniel S Berman8, Jeroen J Bax9, Matthew J Budoff10, Filippo Cademartiri11, Tracy Q Callister12, Hyuk-Jae Chang13, Kavitha Chinnaiyan14, Benjamin J W Chow15, Ricardo C Cury16, Augustin DeLago17, Gudrun Feuchtner18, Martin Hadamitzky19, Joerg Hausleiter20, Philipp A Kaufmann21, Yong-Jin Kim22, Jonathon A Leipsic23, Erica Maffei24, Hugo Marques25, Pedro de Araújo Gonçalves25, Gianluca Pontone7, Gilbert L Raff14, Ronen Rubinshtein26, Todd C Villines27, Yao Lu28, Jessica M Peña2, Leslee J Shaw2, James K Min2, Fay Y Lin29.   

Abstract

The 2018 American College of Cardiology (ACC)/American Heart Association (AHA) cholesterol management guideline recommends risk enhancers in the borderline-risk and statin recommended/intermediate-risk groups. We determined the risk reclassification by the presence and severity of coronary computed tomography angiography (CCTA)-visualized coronary artery disease (CAD) according to statin eligibility groups. Of 35,281 individuals who underwent CCTA, 1,303 asymptomatic patients (age 59, 65% male) were identified. Patients were categorized as low risk, borderline risk, statin recommended/intermediate risk or statin recommended/high risk according to the guideline. CCTA-visualized CAD was categorized as no CAD, nonobstructive, or obstructive. Major adverse cardiovascular events (MACE) were defined as a composite outcome of all-cause mortality, nonfatal myocardial infarction, and late coronary revascularization (>90 days). We tested a reclassification wherein no CAD reclassifies downward, and the presence of any CAD reclassifies upward. During a median follow-up of 2.9 years, 93 MACE events (7.1%) were observed. Among the borderline-risk and statin-recommended/intermediate-risk groups eligible for risk enhancers, the presence or absence of any CCTA-visualized CAD led to a net increase of 2.3% of cases and 22.4% of controls correctly classified (net reclassification index [NRI] 0.27, 95% CI 0.13 to 0.41, p = 0.0002). The NRI was not significant among low- or statin-recommended/high-risk patients (all p >0.05). The presence or absence of CCTA-visualized CAD, including both obstructive and nonobstructive CAD, significantly improves reclassification in patients eligible for risk enhancers in 2018 ACC/AHA guidelines. Patients in low- and high-risk groups derive no significant improvement in risk reclassification from CCTA.
Copyright © 2019. Published by Elsevier Inc.

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Year:  2019        PMID: 31547994     DOI: 10.1016/j.amjcard.2019.07.045

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  6 in total

Review 1.  Artificial Intelligence and Machine Learning in Cardiovascular Imaging.

Authors:  Karthik Seetharam; James K Min
Journal:  Methodist Debakey Cardiovasc J       Date:  2020 Oct-Dec

2.  [Meaningful diagnostics: imaging].

Authors:  Uwe Nixdorff
Journal:  Herz       Date:  2020-02       Impact factor: 1.443

3.  Association of Cardiovascular Disease Risk Factor Burden With Progression of Coronary Atherosclerosis Assessed by Serial Coronary Computed Tomographic Angiography.

Authors:  Donghee Han; Daniel S Berman; Robert J H Miller; Daniele Andreini; Matthew J Budoff; Filippo Cademartiri; Kavitha Chinnaiyan; Jung Hyun Choi; Edoardo Conte; Hugo Marques; Pedro de Araújo Gonçalves; Ilan Gottlieb; Martin Hadamitzky; Jonathon Leipsic; Erica Maffei; Gianluca Pontone; Sangshoon Shin; Yong-Jin Kim; Byoung Kwon Lee; Eun Ju Chun; Ji Min Sung; Sang-Eun Lee; Renu Virmani; Habib Samady; Peter Stone; Jagat Narula; Jeroen J Bax; Leslee J Shaw; Fay Y Lin; James K Min; Hyuk-Jae Chang
Journal:  JAMA Netw Open       Date:  2020-07-01

4.  Coronary computed tomographic angiography derived findings and risk score improves the allocation of lipid lowering therapy compared to clinical score.

Authors:  Biyanka Jaltotage; Ashu Gupta; Umar Ali; Gavin Huangfu; Jamie Rankin; Richard Parsons; Girish Dwivedi
Journal:  Medicine (Baltimore)       Date:  2022-02-11       Impact factor: 1.817

5.  The association of coronary non-calcified plaque loading based on coronary computed tomography angiogram and adverse cardiovascular events in patients with unstable coronary heart disease-a retrospective cohort study.

Authors:  Tianhong Yi; Suqun Huang; Daimin Li; Yao She; Ke Tan; Yi Wang
Journal:  J Thorac Dis       Date:  2022-09       Impact factor: 3.005

6.  Statin Therapy in HIGH-Risk Individuals with NORMal Coronary Arteries: The HIGH-NORM Study.

Authors:  Kyeong-Hyeon Chun; Jung Mi Park; Chan Joo Lee; Jaewon Oh; Sungha Park; Seok-Min Kang; Sang-Hak Lee
Journal:  J Atheroscler Thromb       Date:  2021-07-31       Impact factor: 4.394

  6 in total

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