Yemei He1, Baixue Zhang2, Fang Zhu1, Zheyu Hu3,4, Jia Zhong1, Wenhui Zhu1. 1. Department of Medical Ultrasonics, The Third Xiangya Hospital of Central South University, Changsha, China. 2. Zhuhai City People's Hospital, Zhuhai, China. 3. Department of Breast Medical Oncology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China. 4. Department of Experiment and Laboratory, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Abstract
AIMS: Paroxysmal atrial fibrillation (PAF) commonly recurs after radiofrequency catheter ablation (RFCA). This study aimed to assess left atrial appendage (LAA) volume and function by transesophageal echocardiography (TEE) and to explore its value in predicting PAF recurrence after RFCA. METHODS: Eighty patients with PAF were recruited. The left atrial (LA) and LAA volume and function were measured by transthoracic echocardiography (TTE) and TEE before ablation. Patients were followed up for 12 months after RFCA, and recurrence was recorded. Odds ratios of candidate risk indicators were determined by logistic regression analysis. Prediction model was constructed using logistic regression with backward selection. Receiver operating characteristic (ROC) curve with area under curve (AUC) was performed to evaluate the prediction efficiency. RESULTS: Twenty-four (30%) PAF patients had recurrence (R group), and 56 (70%) patients had no recurrence (NR group). Compared to NR group, LA dimension (LAD), LA volume index (LAVI), LAA maximum volume (LAAVmax), and LAA minimum volume (LAAVmin) were significantly higher in R group, while LAA peak emptying flow velocity (LAAeV), LAA peak filling flow velocity (LAAfV), and LAA ejection fraction (LAAEF) significantly declined in R group. According to multivariate analysis and backward selection, LAVI, LAAEF, and LAAeV were significant risk factors for PAF recurrence. The LAVI + LAAEF + LAAeV joint model could effectively predict PAF recurrence with AUC of 0.893 (95% confidence interval = 0.816, 0.970), sensitivity of 0.75, and specificity of 0.929. CONCLUSIONS: This study demonstrated that LAVI, LAAEF, and LAAeV were significant predictors of PAF recurrence after RFCA.
AIMS: Paroxysmal atrial fibrillation (PAF) commonly recurs after radiofrequency catheter ablation (RFCA). This study aimed to assess left atrial appendage (LAA) volume and function by transesophageal echocardiography (TEE) and to explore its value in predicting PAF recurrence after RFCA. METHODS: Eighty patients with PAF were recruited. The left atrial (LA) and LAA volume and function were measured by transthoracic echocardiography (TTE) and TEE before ablation. Patients were followed up for 12 months after RFCA, and recurrence was recorded. Odds ratios of candidate risk indicators were determined by logistic regression analysis. Prediction model was constructed using logistic regression with backward selection. Receiver operating characteristic (ROC) curve with area under curve (AUC) was performed to evaluate the prediction efficiency. RESULTS: Twenty-four (30%) PAF patients had recurrence (R group), and 56 (70%) patients had no recurrence (NR group). Compared to NR group, LA dimension (LAD), LA volume index (LAVI), LAA maximum volume (LAAVmax), and LAA minimum volume (LAAVmin) were significantly higher in R group, while LAA peak emptying flow velocity (LAAeV), LAA peak filling flow velocity (LAAfV), and LAA ejection fraction (LAAEF) significantly declined in R group. According to multivariate analysis and backward selection, LAVI, LAAEF, and LAAeV were significant risk factors for PAF recurrence. The LAVI + LAAEF + LAAeV joint model could effectively predict PAF recurrence with AUC of 0.893 (95% confidence interval = 0.816, 0.970), sensitivity of 0.75, and specificity of 0.929. CONCLUSIONS: This study demonstrated that LAVI, LAAEF, and LAAeV were significant predictors of PAF recurrence after RFCA.