Key result
Novel ECG algorithm identifies slow conducting anatomical isthmus 3 with ~83% sensitivity.
Why the study?
Slow conducting anatomical isthmus 3 is the dominant VT substrate in repaired tetralogy of Fallot, and terminal QRS vector changes on sinus rhythm ECG may detect this substrate.
Does a 12-lead ECG algorithm combining R″ in V1 and/or NTP ≥80 ms in aVF identify slow conducting anatomical isthmus 3 in patients with repaired tetralogy of Fallot?
Observational (n=79)
No
Does a 12-lead ECG algorithm combining R″ in V1 and/or NTP ≥80 ms in aVF identify slow conducting anatomical isthmus 3 in patients with repaired tetralogy of Fallot?
A novel 12-lead ECG algorithm can identify slow conducting anatomical isthmus 3 in patients with repaired tetralogy of Fallot, aiding in non-invasive risk stratification for ventricular tachycardia.
Aims Patients with repaired tetralogy of Fallot (rTOF) have an increased risk of ventricular tachycardia (VT), with slow conducting anatomical isthmus (SCAI) 3 as dominant VT substrate. In patients with right bundle branch block (RBBB), SCAI 3 leads to local activation delay with a shift of terminal RV activation towards the lateral RV outflow tract which may be detected by terminal QRS vector changes on sinus rhythm electrocardiogram (ECG). Methods and results Consecutive rTOF patients aged ≥16 years with RBBB who underwent electroanatomical mapping at our institution between 2017–2022 and 2010–2016 comprised the derivation and validation cohort, respectively. Forty-six patients were included in the derivation cohort (aged 40±15 years, QRS duration 165±23 ms). Among patients with SCAI 3 (n = 31, 67%), 17 (55%) had an R″ in V1, 18 (58%) had a negative terminal QRS portion (NTP) ≥80 ms in aVF, and 12 (39%) had both ECG characteristics, compared to only 1 (7%), 1 (7%), and 0 patient without SCAI, respectively. Combining R″ in V1 and/or NTP ≥80 ms in aVF into a diagnostic algorithm resulted in a sensitivity of 74% and specificity of 87% in detecting SCAI 3. The inter-observer agreement for the diagnostic algorithm was 0.875. In the validation cohort [n = 33, 18 (55%) with SCAI 3], the diagnostic algorithm had a sensitivity of 83% and specificity of 80% for identifying SCAI 3. Conclusion A sinus rhythm ECG-based algorithm including R″ in V1 and/or NTP ≥80 ms in aVF can identify rTOF patients with a SCAI 3 and may contribute to non-invasive risk stratification for VT.
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Wallet et al. (2023) conducted an observational in Repaired tetralogy of Fallot (rTOF) with right bundle branch block (n=79). 12-lead ECG algorithm combining R″ in V1 and/or negative terminal QRS portion ≥80 ms in aVF vs. Absence of these ECG characteristics was evaluated on Detection of slow conducting anatomical isthmus (SCAI) 3. An ECG algorithm combining R″ in V1 and/or negative terminal QRS portion ≥80 ms in aVF identified slow conducting anatomical isthmus 3 with 83% sensitivity and 80% specificity in validation.
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