Author + information
- Brigham R. Smith,
- Shadi Karabsheh,
- Heidi May,
- Jeffrey Anderson,
- Qunyu P. Li,
- Donald Lappe,
- Anwar Tandar and
- J. Muhlestein
Many, but not all, pts with coronary atherosclerosis develop significant coronary artery calcification (CAC). However, the mechanisms and the predictors of CAC are poorly known.
We analyzed the coronary angiograms of 1,728 pts to assess angiographic severity of fluoroscopically–determined CAC (F–CAC). A novel scoring system, reporting extent (0–3) and severity (0–3) for each major coronary vessel was developed. A global score was determined by multiplying extent and severity scores and summing the numbers for the 4 vessels. Multivariate logistic regression was performed to determine predictors of F–CAC presence by comparing Score 0 to Scores >1.
Significant predictors of F–CAC were age, sex, hyperlipidemia, diabetes, smoking, prior CAD, CAD presence and severity, depression history, GFR categories, BMI and LVEF (Table). Multivariate analysis showed age (OR=1.05, p<0.0001), sex (OR=1.43, p=0.009), smoking (OR=1.47, p=0.01), CAD (OR=3.87, p<0.0001), CAD disease severity (1 vs. 0: OR=2.48, p<0.0001; 2 vs. 0: OR=4.78, p<0.0001; 3 vs. 0: OR=6.00, p<0.0001), and GFR categories (30–59 vs. >60: OR=1.04, p=0.82; <30 vs. >60: OR=1.85, p=0.05) to be independent predictors of F–CAC presence.
Age, sex, smoking, CAD presence and severity, and GFR were found to predict F–CAC severity as assessed by angiography. These clinical predictors can potentially help tailor clinical therapy and lead to a better understanding of coronary calcification pathophysiology.
Poster Sessions, Expo North
Saturday, March 09, 2013, 3:45 p.m.–4:30 p.m.
Session Title: Complex Patients, Diabetes and Renal Insufficiency
Abstract Category: 43. TCT@ACC–i2: Complex Patients, Diabetes, Renal Insufficiency
Presentation Number: 2106–225
- 2013 American College of Cardiology Foundation