Mitral Annulus Calcium Score.
Aged
Aged, 80 and over
Aortic Valve
/ physiopathology
Aortic Valve Stenosis
/ complications
Calcinosis
/ complications
Databases, Factual
Electrocardiography
Female
Heart Block
/ diagnosis
Humans
Male
Mitral Valve
/ diagnostic imaging
Predictive Value of Tests
Retrospective Studies
Risk Assessment
Risk Factors
Severity of Illness Index
Tomography, X-Ray Computed
Transcatheter Aortic Valve Replacement
/ adverse effects
Treatment Outcome
aortic valve
atrioventricular block
calcium
humans
logistic models
Journal
Circulation. Cardiovascular imaging
ISSN: 1942-0080
Titre abrégé: Circ Cardiovasc Imaging
Pays: United States
ID NLM: 101479935
Informations de publication
Date de publication:
12 2019
12 2019
Historique:
entrez:
15
1
2019
pubmed:
15
1
2019
medline:
29
10
2019
Statut:
ppublish
Résumé
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. 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. 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). 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. URL: https://www.clinicaltrials.gov. Unique identifier: NCT02023060.
Sections du résumé
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.
Identifiants
pubmed: 30636515
doi: 10.1161/CIRCIMAGING.117.007508
doi:
Banques de données
ClinicalTrials.gov
['NCT02023060']
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e007508Commentaires et corrections
Type : CommentIn