Literature DB >> 29974506

Coronary risk assessment using traditional risk factors with CT coronary artery calcium scoring in clinical practice.

Edmund Kenneth Kerut1,2, Michael E Hall1, Michael C Turner3, Michael R McMullan1.   

Abstract

As coronary artery calcium (CAC) is atherosclerosis and not just a marker of cardiovascular (CV) disease, measurement of a patient's coronary artery calcium score (CACS) is a strong predictor of risk. Clinically performed in asymptomatic patients, the CACS, along with several CV risk factors, namely age, sex, ethnicity, diabetes, tobacco use, family history, cholesterol level, blood pressure, and use of cholesterol or hypertensive medications, provide a predictive model of 10 year risk for CV events. A smartphone "App" makes this quick to obtain and use. This helps the clinician in making recommendations for both lifestyle changes and statin therapy. Those patients in which the most benefit occur from measurement of a CACS are those at an intermediate CV risk. Measurement of the CACS has become an integral part of the clinician's assessment of a patient's CV risk and for guiding preventative therapies.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  computed tomography; prevention

Mesh:

Year:  2018        PMID: 29974506     DOI: 10.1111/echo.14091

Source DB:  PubMed          Journal:  Echocardiography        ISSN: 0742-2822            Impact factor:   1.724


  2 in total

1.  Effect of Calcification Based on Computer-Aided System on CT-Fractional Flow Reserve in Diagnosis of Coronary Artery Lesion.

Authors:  Dongliang Fu; Xiang Xiao; Tong Gao; Lina Feng; Chunliang Wang; Peng Yang; Xianlun Li
Journal:  Comput Math Methods Med       Date:  2022-01-17       Impact factor: 2.238

2.  Assessment of high sensitivity C-reactive protein and coronary plaque characteristics by computed tomography in patients with and without diabetes mellitus.

Authors:  Hai-Ting Zhou; De-Li Zhao; Guo-Kun Wang; Tian-Zuo Wang; Hong-Wei Liang; Jin-Ling Zhang
Journal:  BMC Cardiovasc Disord       Date:  2020-10-07       Impact factor: 2.298

  2 in total

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