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Echocardiographic Anatomical Risk Factors for Permanent Pacemaker Implantation After Transcatheter Aortic Valve
Hugo Mantilla-Gutierrez1, Jaime Cabrales1, Víctor Herrera2
1Fundación Cardioinfantil Instituto de Cardiología Anesthesiology Department Bogotá Colombia Anesthesiology Department, Fundación Cardioinfantil - Instituto de Cardiología, Bogotá, Colombia.
Transcatheter aortic valve replacement (TAVR) necessitates pacemaker implantation in 14% of patients. A predictive model identified age, female sex, body surface area, and pre-existing conduction disease as key risk factors for this complication.
Area of Science:
- Cardiology
- Interventional Cardiology
- Cardiac Surgery
Background:
- Transcatheter aortic valve replacement (TAVR) is a transformative treatment for aortic valve disease.
- Pacemaker implantation is a frequent complication following TAVR procedures.
- Identifying patients at high risk for pacemaker implantation is crucial for optimizing TAVR outcomes.
Purpose of the Study:
- To estimate the incidence of permanent pacemaker implantation after TAVR.
- To identify preoperative and echocardiographic risk factors associated with pacemaker implantation.
- To develop a predictive model for pacemaker implantation post-TAVR.
Main Methods:
- Retrospective cohort study of 234 adult patients undergoing TAVR.
- Comparison of patients who received a pacemaker versus those who did not.
- Evaluation of preoperative and echocardiographic factors, including implantation depth.
- Development of a predictive model using multiple logistic regression.
Main Results:
- The pacemaker implantation rate was 14% in the study cohort.
- Significant risk factors included older age, female sex, larger body surface area, right bundle branch block, first-degree atrioventricular block, and deeper implantation depth.
- The predictive model showed strong performance with an AUC of 0.934.
Conclusions:
- A robust predictive model for pacemaker implantation after TAVR was developed.
- The model incorporates six independent risk factors, combining classic risk factors with echocardiographic measurements.
- This model can aid in identifying patients at higher risk for pacemaker implantation post-TAVR.
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