Key result
Adding RT-3DE LA function to BNP improves post-ablation AF recurrence prediction, reaching AUC ~0.81.
Why the study?
To evaluate the value of a predictive model combining RT-3DE-derived left atrial function indexes and blood BNP level in predicting recurrence after radiofrequency ablation in early persistent AF.
Does a combined predictive model using RT-3DE left atrial function parameters (DEI, LAAV) and preoperative blood BNP level improve the prediction of atrial fibrillation recurrence compared to BNP alone in patients with early persistent AF undergoing circular pulmonary vein ablation?
Cohort (n=215)
No
Does a combined predictive model using RT-3DE left atrial function parameters (DEI, LAAV) and preoperative blood BNP level improve the prediction of atrial fibrillation recurrence compared to BNP alone in patients with early persistent AF undergoing circular pulmonary vein ablation?
Answers are grounded in this paper and cite their sources.
Combining preoperative RT-3DE left atrial functional indices (DEI and LAAV) with serum BNP levels significantly improves risk stratification for short-term AF recurrence following radiofrequency ablation in patients with early persistent AF.
AIM: A predictive model using left atrial function indexes obtained by real-time three-dimensional echocardiography (RT-3DE) and the blood B-type natriuretic peptide (BNP) level was constructed, and its value in predicting recurrence in patients with early persistent atrial fibrillation (AF) after radiofrequency ablation was explored. METHODS: A total of 228 patients with early persistent AF who were scheduled to receive the first circular pulmonary vein ablation (CPVA) were enrolled. Clinical data of patients were collected: (1) The blood BNP level was measured before radiofrequency ablation; (2) RT-3DE was used to obtain the left atrial (LA) time-volume curve; (3) The clinical characteristics, BNP level and LA function parameters were compared, and logistic regression was used to construct a prediction model with combined parameters; (4) The receiver operating characteristic (ROC) curve was used to examine the diagnostic efficacy of the model. RESULTS: (1) 215 patients with early persistent AF completed CPVA and the follow-up. After 3-6 months of follow-up, the patients were divided into sinus rhythm group (160 cases) and recurrence group (55 cases); (2) The recurrence group showed higher minimum LA volume index, diastolic ejection index, and preoperative BNP (all p ≤ .001), while the sinus rhythm group exhibited higher expansion index (PI) and left atrial appendage peak emptying velocity (p ≤ .001); (3) In univariate analysis, BNP level had the best diagnostic performance in predicting the recurrence of AF(AUC = 0.703). We constructed a model based on LA function and BNP level to predict the recurrence of persistent AF after CPVA. This combined model was better than BNP alone in predicting the recurrence of persistent AF after CPVA (AUC: 0.814 vs. 0.703, z = 2.224, p = .026). CONCLUSION: The combined model of LA function and blood BNP level has good predictive value for the recurrence of early persistent AF after CPVA.
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Yang et al. (2021) conducted a cohort in Early persistent atrial fibrillation undergoing first circular pulmonary vein ablation (n=215). Combined predictive model of RT-3DE left atrial function parameters (diastolic ejection index and left atrial appendage peak emptying velocity) and preoperative blood BNP level vs. Preoperative blood BNP level alone was evaluated on Predictive discrimination (AUC) for recurrence of atrial fibrillation (documented atrial arrhythmia episode >=30 seconds after a 3-month blanking period, up to 6 months post-ablation) (AUC 0.814 vs. 0.703 (z = 2.224), 95% CI 0.749-0.874, p=0.026). A combined model of RT-3DE left atrial function and preoperative BNP outperformed BNP alone in predicting early persistent AF recurrence after ablation (AUC 0.814 vs 0.703, p=0.026).
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