Usefulness of Tissue Doppler-derived Atrial Electromechanical Delay for Identifying Patients with Paroxysmal Atrial Fibrillation
Background: Tissue Doppler imaging (TDI)-derived atrial electromechanical delay (AEMD) has been reported to be useful for detecting paroxysmal atrial fibrillation (PAF). However, its usefulness remains unknown when analyzed along with patients seemingly at high-risk for AF as controls. From this standpoint, we investigated whether AEMD would be of use for identifying patients with PAF.
Methods: We retrospectively analyzed TDI recordings to obtain AEMD in 63 PAF patients. Thirty-three patients with multiple cardiovascular risk factors (MRFs) but without history of AF and 50 healthy individuals served as disease and healthy controls, respectively. AEMD was defined as the time-interval between the electrocardiogram P-wave and the beginning of the spectral TDI-derived A’ for the septal (septal EMD) and lateral (lateral EMD) sides of the mitral annulus.
Results: There was no significant difference in the left atrial volume index between PAF patients and disease controls (28 ± 9 mL/m 2 vs. 27 ± 5 mL/m 2 ). PAF patients had longer AEMD, particularly for the lateral EMD (75 ± 23 ms), compared with disease (62 ± 22 ms, P = 0.009) and healthy (54 ± 24 ms, P <0.001) controls. Multivariate logistic regression analysis revealed that the lateral EMD (OR 1.25, 95%CI 1.03 – 1.52, P = 0.023), along with the left atrial volume index (OR 2.25, 95%CI 1.44 – 3.51, P <0.001), was one of the significant independent associates of identifying PAF patients.
Conclusions: This cross-sectional study indicates that even analyzed together with MRFs patients, AEMD remains useful for identifying patients at risk for AF. Our results need to be confirmed by a large-scale prospective study.
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Posted 03 Jun, 2020
On 22 Jun, 2020
On 03 Jun, 2020
On 30 May, 2020
Received 30 May, 2020
Invitations sent on 27 May, 2020
On 26 May, 2020
On 25 May, 2020
On 25 May, 2020
On 27 Apr, 2020
Received 25 Apr, 2020
On 17 Apr, 2020
Invitations sent on 14 Apr, 2020
On 08 Apr, 2020
On 07 Apr, 2020
On 06 Apr, 2020
On 03 Apr, 2020
Usefulness of Tissue Doppler-derived Atrial Electromechanical Delay for Identifying Patients with Paroxysmal Atrial Fibrillation
Posted 03 Jun, 2020
On 22 Jun, 2020
On 03 Jun, 2020
On 30 May, 2020
Received 30 May, 2020
Invitations sent on 27 May, 2020
On 26 May, 2020
On 25 May, 2020
On 25 May, 2020
On 27 Apr, 2020
Received 25 Apr, 2020
On 17 Apr, 2020
Invitations sent on 14 Apr, 2020
On 08 Apr, 2020
On 07 Apr, 2020
On 06 Apr, 2020
On 03 Apr, 2020
Background: Tissue Doppler imaging (TDI)-derived atrial electromechanical delay (AEMD) has been reported to be useful for detecting paroxysmal atrial fibrillation (PAF). However, its usefulness remains unknown when analyzed along with patients seemingly at high-risk for AF as controls. From this standpoint, we investigated whether AEMD would be of use for identifying patients with PAF.
Methods: We retrospectively analyzed TDI recordings to obtain AEMD in 63 PAF patients. Thirty-three patients with multiple cardiovascular risk factors (MRFs) but without history of AF and 50 healthy individuals served as disease and healthy controls, respectively. AEMD was defined as the time-interval between the electrocardiogram P-wave and the beginning of the spectral TDI-derived A’ for the septal (septal EMD) and lateral (lateral EMD) sides of the mitral annulus.
Results: There was no significant difference in the left atrial volume index between PAF patients and disease controls (28 ± 9 mL/m 2 vs. 27 ± 5 mL/m 2 ). PAF patients had longer AEMD, particularly for the lateral EMD (75 ± 23 ms), compared with disease (62 ± 22 ms, P = 0.009) and healthy (54 ± 24 ms, P <0.001) controls. Multivariate logistic regression analysis revealed that the lateral EMD (OR 1.25, 95%CI 1.03 – 1.52, P = 0.023), along with the left atrial volume index (OR 2.25, 95%CI 1.44 – 3.51, P <0.001), was one of the significant independent associates of identifying PAF patients.
Conclusions: This cross-sectional study indicates that even analyzed together with MRFs patients, AEMD remains useful for identifying patients at risk for AF. Our results need to be confirmed by a large-scale prospective study.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5