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Mitral Annulus Calcium Score
Yafim Brodov1,2, Eli Konen2, Mattia Di Segni2
1Leviev Heart Center (Y.B., F.C., I.B., E.R., V.G., A.S., P.F., M.G.), Sheba Medical Center, Tel Hashomer, Tel-Aviv University, Israel.
Insights
Mitral annular calcium (MAC) score predicts conduction system abnormalities (CSA) after transcatheter aortic valve implantation. High MAC scores indicate increased risk for CSA, necessitating closer patient monitoring.
Area of Science:
- Cardiology
- Interventional Cardiology
- Cardiac Imaging
Background:
- Transcatheter aortic valve implantation (TAVI) carries a risk of conduction system abnormalities (CSA).
- Mitral annular calcium (MAC) is a potential factor influencing CSA development post-TAVI.
Purpose of the Study:
- To assess the predictive value of MAC score for CSA after TAVI.
- To identify patients at higher risk for CSA following TAVI.
Main Methods:
- 168 patients with severe aortic stenosis underwent TAVI (CoreValve or SAPIEN).
- Mitral annular calcium, aortic valve, and left ventricular outflow tract calcium scores were quantified using computed tomography.
- Primary endpoint: complete left bundle branch block or high-degree atrioventricular block.
Main Results:
- Patients in the highest MAC score quartile (>2700) had a significantly higher incidence of the primary endpoint (62%) compared to the lowest quartile (<140) (31%).
- MAC score was an independent predictor of CSA, both as a continuous variable and by quartile.
- The fourth MAC score quartile was a strong independent predictor of CSA (OR: 3.69).
Conclusions:
- MAC score is an independent predictor of CSA in TAVI patients without prior conduction abnormalities.
- Patients with high MAC scores (fourth quartile) are at increased risk for CSA post-TAVI.
- High MAC score identifies patients requiring closer monitoring after TAVI.
Background:
The risk of conduction system abnormalities (CSA) after transcatheter aortic valve implantation remains high. We aimed to evaluate the impact of mitral annular calcium (MAC) score on the development of CSA after transcatheter aortic valve implantation.
Methods:
Consecutive patients (n=168), with severe AoV stenosis, without prior CSA, underwent computed tomography transcatheter AoV implantation followed by device implantation; CoreValve (n=72) and SAPIEN (n=96). MAC, AoV, and left ventricular outflow tract calcium (Ca++) scores were quantitated from noncontrast ECG-gated computed tomography using Agatston method. The primary end point was a combination of complete left bundle branch block or high-degree atrioventricular block. Logistic regression was used to analyze the predictive value of Ca++ scores of different locations.
Results:
The primary end point was documented in 62% of the fourth quartile MAC score (>2700) patients as compared with 31% of the first quartile (<140); P=0.03. Logistic regression analysis documented MAC score as an independent predictor either of primary end point as a continuous variable (odds ratio: 1.02, 95% [CI]: 1.00 - 1.03, p = 0.021) or as quartile cutoffs, whereas Q4 was a strong and independent predictor (odds ratio: 3.69, 95% [CI]: 1.37 - 9.95, p = 0.010).
Conclusions:
MAC score was found to be an independent predictor of CSA in patients undergoing transcatheter aortic valve implantation without preexisting CSA. Therefore, the current study suggests that patients with high MAC score category (fourth MAC score quartile) should be considered at high risk for CSA, warranting closer monitoring.
Clinical Trial Registration:
URL: https://www.clinicaltrials.gov. Unique identifier: NCT02023060.
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