- Elevated lipoprotein(a) (Lp(a)) levels are associated with a higher chance of finding coronary stenosis in patients with stable chest pain and suspected coronary artery disease (CAD).
- This study suggests that Lp(a) measurements may improve the way clinicians evaluate CAD risk, especially when combined with coronary computed tomography angiography (CCTA).
Key Findings:
- The study analyzed data from over 4,000 patients with chest pain.
- Normal Lp(a) levels were present in about half the population, while moderately elevated, high, and very high levels were found in the remainder.
- Higher Lp(a) levels were linked to more cases of coronary stenosis (narrowed arteries) and multivessel disease.
Rates of Coronary Stenosis and Multivessel Disease:
- Normal Lp(a): 23.5% had coronary stenosis; 10.4% had multivessel disease.
- Very high Lp(a): 33.9% had coronary stenosis; 18.1% had multivessel disease.
- The likelihood of stenosis increased as Lp(a) levels rose, even after adjusting for factors like age, sex, and other risk factors.
Why This Matters:
- Patients with elevated Lp(a) may benefit more from CCTA, which helps detect atherosclerosis, assess risk, and guide treatment.
- High Lp(a) levels often indicate more plaque in the arteries and higher risk of CAD, even when other risk factors are considered.
Looking Ahead:
- Researchers aim to explore whether Lp(a) can improve current models for predicting coronary stenosis.
- Studies are also needed to determine if lowering Lp(a) can slow plaque buildup or reduce CAD risk.
Take-Home Points:
- Lp(a) is an important marker for coronary artery disease risk, particularly in patients with chest pain.
- Higher Lp(a) levels are linked to a greater chance of coronary stenosis and multivessel disease.
- CCTA is a valuable diagnostic tool for patients with elevated Lp(a), as it helps assess both plaque burden and risk stratification.
- Measuring Lp(a) should prompt more aggressive management of other risk factors like cholesterol, blood pressure, and lifestyle changes.
- Future studies will focus on integrating Lp(a) into predictive models and evaluating the effects of Lp(a)-lowering therapies on CAD outcomes.
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