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Long-Term Outcomes of Drug-Refractory Atrial Fibrillation After Atrioventricular Node Ablation Combined with
Bagdat A Akhyt1, Salim F Berkinbaev2, Natalya G Lozhkina3,4
1JSC "Research Institute of Cardiology and Internal Medicine", Almaty 050000, Kazakhstan.
Insights
This study identified key predictors of 5-year mortality in patients with drug-refractory atrial fibrillation treated with atrioventricular node ablation and CRT-D. Machine learning identified factors like ejection fraction and pulmonary artery pressure for risk stratification.
Area of Science:
- Cardiology
- Medical Technology
Background:
- Drug-refractory tachysystolic atrial fibrillation poses significant mortality risks.
- Atrioventricular node ablation (AVNA) combined with CRT-D is a treatment option for these patients.
Purpose of the Study:
- To identify significant risk factors for 5-year mortality in patients undergoing AVNA and CRT-D.
- To explore the predictive accuracy of machine learning models for mortality outcomes.
Main Methods:
- Prospective single-center cohort study of 101 patients with chronic heart failure and drug-refractory atrial fibrillation.
- Patients underwent AVNA and CRT-D implantation, receiving optimal medical therapy.
- Machine learning methods (random forest, Shapley additive explanations) were used to assess mortality predictors.
Main Results:
- 13 cardiovascular deaths occurred during 5-year follow-up.
- Key mortality predictors identified: left ventricular ejection fraction, 6 min walk distance, mean pulmonary artery pressure, systolic relaxation coefficient, and mitral regurgitation.
- The predictive model achieved 92% accuracy in outcome classification.
Conclusions:
- AVNA combined with CRT-D is associated with long-term clinical outcomes in this patient group.
- Machine learning analysis successfully identified key mortality-associated factors.
- These findings can aid in personalized risk stratification and hypothesis generation for atrial fibrillation management.
Abstract:
Objective: In this study, we aimed to determine the most significant risk factors for 5-year mortality in patients with paroxysmal and persistent drug-refractory tachysystolic atrial fibrillation after undergoing atrioventricular node ablation (AVNA) in combination with the implantation of a permanent three-chamber pacemaker with an implantable cardioverter-defibrillator function (CRT-D). Methods: This prospective single-center cohort study included 101 patients with chronic heart failure (mean age 62 ± 15.5 years; 70.3% male) with paroxysmal or persistent drug-refractory atrial fibrillation who underwent atrioventricular node ablation and CRT-D implantation. All patients received optimal medical therapy before and after undergoing the procedure. Predictors of 5-year mortality were assessed using exploratory machine-learning methods, including random forest and Shapley additive explanations. Results: During 5-year follow-up, 13 cardiovascular deaths were recorded. Five key predictors of mortality were identified: left ventricular ejection fraction, 6 min walk distance, mean pulmonary artery pressure, systolic relaxation coefficient, and degree of mitral regurgitation. The exploratory predictive model showed high accuracy (92%) in terms of classifying the outcomes. Conclusions: Atrioventricular node ablation (AVNA) combined with CRT-D was associated with the observed long-term clinical outcomes observed in patients with drug-refractory tachysystolic atrial fibrillation. The exploratory machine learning analysis identified key mortality-associated factors, which may support future efforts in personalized risk stratification and hypothesis generation. The combination of AVNA and CRT-D was associated with the observed long-term outcomes in this real-world cohort.
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