English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Coronary artery disease (CAD) is a pathological process characterized by atherosclerotic plaque accumulation in the coronary arteries, which may lead to coronary luminal narrowing and ischemia (1). CAD is the most prominent cause of morbidity and mortality in Western societies, accounting for approximately 7.4 million (13%) deaths per year (2). Since many CAD patients are asymptomatic, the first manifestation is generally myocardial infarction or sudden cardiac death (3). Therefore, there is an emerging need for improved screening tools for subclinical coronary atherosclerosis, which is a strong predictor of future adverse cardiovascular events (4–7). With the help of non-contrast enhanced low dose cardiac computed tomography (CT) scans, we can quantify the amount of coronary artery calcification (CAC). CAC scoring is a robust method to detect and quantify CAD particularly in those without any symptom (8). This review aimed to summarize the prognostic role of CAC scoring in individualized risk prediction and guiding preventative therapies.

Role of coronary artery calcium score in risk prediction and therapy guidance of asymptomatic individuals