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CT Coronary Angiography: CAD Without Traditional Risk Factors

by Dr. Michael Lee – Health Editor

## CT Coronary angiography Reveals​ CAD Can Develop Even Without ​Traditional Risk Factors

Recent research utilizing CT coronary ‍angiography (CTCA) indicates that coronary artery disease (CAD) can develop in individuals *without* common⁤ risk factors like high blood pressure, high cholesterol, diabetes, or smoking. A study conducted by a team at monash University in Melbourne, Australia, led by Dr. Seiyon⁢ Sivakumar, found surprisingly similar levels ⁢of coronary inflammation in these individuals compared to those *with* traditional risk‌ factors.

The study, analyzing‍ data from 309 patients who underwent serial CTCAs between 2010 ⁤and‍ 2016 due to suspected ‌stable CAD, focused​ on pericoronary adipose tissue (PCAT) attenuation – a measurable biomarker of coronary inflammation visible on⁢ CTCA scans. ‍Researchers tracked PCAT attenuation around the proximal right ⁢coronary artery (PCATRCA) using specialized software, alongside assessments of plaque buildup ⁤(using segment involvement and‍ stenosis scores) and the severity of artery narrowing based⁤ on ⁢the Coronary ​Artery Disease – Reporting and Data System (CAD-RADS).

Approximately 26.9% of the patients ‍studied lacked traditional cardiovascular risk factors. Notably,patients *with* risk factors were more likely to be taking medications such as statins,ACE inhibitors/ARBs,and aspirin.

Key findings revealed that patients without risk factors​ exhibited a mean PCATRCA attenuation of -77.5 ⁣Hounsfield ⁣units (HU), statistically similar to ⁣the -78.4 HU observed in patients *with* risk​ factors (p ⁣= 0.481). This occurred despite these patients⁣ having, on average, 18.7% lower segment involvement scores⁤ (1.78 vs. 2.72, p⁤ = 0.01) ⁣and 39.5% lower segment stenosis scores (2.22 vs. 3.67, p =​ 0.004), indicating ⁣less plaque and narrowing. Patients with risk factors were 2.8 times more likely to have ⁤obstructive CAD (p = 0.006).

These results suggest ​that inflammation plays a meaningful role in CAD advancement, even in the absence‍ of established risk factors. The researchers believe this‍ study provides early insights into the mechanisms ⁣driving​ CAD in this population and highlights the potential for targeting inflammation as a therapeutic strategy.the team emphasizes the need for further research to validate these findings. The complete study was published in [Journal name – based on DOI] and is⁤ available here.

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