Different mapping systems and settings yield inconsistent CFAE classifications, highlighting the need for standardized thresholds and longer electrogram recordings to accurately identify ablation targets in persistent AF.
Mapping system variability in CFAE detection warrants caution for ablation targets in persistent AF; leaves open the need for standardized thresholds across platforms.
show that CFAE classification may vary for the same individual, depending on the system being used and settings being applied. Revised thresholds are suggested for the indices calculated by each system to minimize the differences in CFAE detection performed independently by them. Second, our results show that some AEGs are affected by stepwise persAF ablation, while others remain unaffected by it. Different types of AEGs might correlate with distinct underlying persAF mechanisms. Single descriptors measured from the AEGs, such as sample entropy and dominant frequency, were not able to discriminate the different types of AEGs individually, but multivariate analysis using multiple descriptors measured from the AEGs can effectively discriminate the different types of AEGs. Finally, we show that AEG duration of 2.5 s -as currently used by some systems -might not be sufficient to measure CFAEs consistently.
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Almeida et al. (2016) studied this question.
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