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Updated: Apr 16, 2026

Isolation of Mouse Interstitial Valve Cells to Study the Calcification of the Aortic Valve In Vitro
Published on: May 10, 2021
[Aortic valve calcification evaluated by echocardiography associated with baseline conduction abnormalities as a
Nydia Ávila-Vanzzini1, Cynthia Romero-Aragonés, Juan Verdejo-Paris
1Departamento de Ecocardiografía. Instituto Nacional de Cardiología Ignacio Chávez.
Introduction:
Aortic valve replacement in patients with severe aortic stenosis may be complicated by complete atrioventricular block (CAVB), requiring a permanent pacemaker (PPM) implantation. Predicting this complication could help to plan the surgical.
Objective:
Determine whether electrocardiography and echocardiography are useful methods for predicting the need for PPM.
Material And Methods:
A retrospective, observational and transversal study was performed. An echocardiography based semi-quantitative classification was implemented to graduate the extent of calcification of the aortic valve.
Results:
We included 95 patients; 10 of them required PPM implantation (10.52%). In the pre-surgical basal electrocardiogram we observed that 90% of patients that required PPM had conduction abnormalities as opposed to only 24.7% in the other group, p = 0.001. A 1st and 2nd degree AV block (AVB 1 and 2) was identified in 8 patients that subsequently needed PPM (80%) vs. 5 patients (5.9%), in the group that did not required it, p = 0.001.OR 41.7, IC 95% 6.5-68. We found a grade 3 calcification extent in 80% of patients who required PPM implant compared with only 17.6% of patients in the other group, p = 0.04, OR 4.8, IC 95% 0.76-29. The AVB 1 and 2 were the single predictor in multivariate analysis but the calcification 3 + AVB 1 and 2, increased sensibility.
Concluison:
In patients with aortic stenosis in whom aortic valve replacement was performed, identifying AVB 1 and 2 on the basal electrocardiogram is a useful tool in order to identify requirement of PPM. The grade 3 of calcification extent increased the sensibility of this prediction.
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