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A novel predictive model for late recurrence after catheter ablation for atrial fibrillation using left appendage volume measured by cardiac computed tomography

Authors :
Ki Yung Boo
Yun Young Choi
Ha Young Choi
Jin Seok Kim
Jaemin Shim
Jong Il Choi
Yun Gi Kim
Kwang No Lee
Do-Young Kim
Seung Young Rho
Younghoon Kim
Source :
The International Journal of Cardiovascular Imaging.
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

Larger left atrial appendage (LAA) volume is associated with a higher risk of late recurrence (LR) in patients undergoing radiofrequency catheter ablation (RFCA) for atrial fibrillation (AF). However, it is unclear whether LAA volume predicts LR, independent of established risk factors. We sought to evaluate the value of LAA volume in predicting LR after RFCA for AF and to develop a score prediction model including LAA volume for these patients. We retrospectively studied 992 patients who underwent RFCA for AF and cardiac computed tomography before RFCA at a single center. At 3 years after RFCA, 362 patients (36.5 %) experienced recurrence. The multivariate Cox regression model showed that age ≥ 75 years (10 points), non-paroxysmal AF (9 points), diabetes mellitus (4 points), left atrial volume index (1 point per 10 ml/m2 rounded to the nearest integer), and the second (4.7 to < 7 ml/m2; 4 points) and third (≥ 7 ml/m2; 5 points) tertiles of the LAA volume index were independent risk factors LR. The above-mentioned risk factors were included in the integrated score model, and the C-index of the proposed score model was 0.715 (95 % confidence interval [CI] 0.679–0.752). LAA volume is an independent predictor of LR and the predictive model including LAA volume showed good discrimination power. These findings provide evidence for the inclusion of LAA volume in the risk stratification for AF recurrence in patients undergoing RFCA for AF.

Details

ISSN :
15730743 and 15695794
Database :
OpenAIRE
Journal :
The International Journal of Cardiovascular Imaging
Accession number :
edsair.doi...........ca2a0edb2fea7f6f201091ee7b0b71f0
Full Text :
https://doi.org/10.1007/s10554-021-02169-4