The R″ wave in V1 and the negative terminal QRS vector in aVF combine to a novel 12-lead electrocardiogram (ECG) algorithm to identify slow conducting anatomical isthmus 3 in patients with tetralogy of Fallot
Authors' 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
Study context
- Population
- Patients with repaired tetralogy of Fallot aged ≥16 years with right bundle branch block (RBBB) undergoing electroanatomical mapping
- Participants
- 46 vs 33
- Comparison
- 12-lead sinus rhythm ECG algorithm for detecting slow conducting anatomical isthmus (SCAI) 3
- Derivationn = 46
- Validationn = 33
- Outcome
- Diagnostic performance of the ECG algorithm for identifying SCAI 3
Methodological detailsderivation and validation cohorts, single-centre
- Derivation and validation cohorts
- Single-centre
Performance
As reported in the abstract
Detection of SCAI 3 by ECG algorithm (R″ in V1 and/or NTP ≥80 ms in aVF)
| Test or model | Sensitivity | Specificity |
|---|---|---|
| Validation | 83% | 80% |
Validation
Sensitivity83%
Specificity80%
Further findings
ECG characteristics in derivation cohort, SCAI 3 vs no SCAI
- R″ in V1: SCAI 3 vs no SCAI
- 17 (55%) vs 1 (7%)
- NTP ≥80 ms in aVF: SCAI 3 vs no SCAI
- 18 (58%) vs 1 (7%)
- Both characteristics: SCAI 3 vs no SCAI
- 12 (39%) vs 0
Inter-observer agreement for the algorithm
- Inter-observer agreement
- 0.875
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
The R″ wave in V1 and the negative terminal QRS vector in aVF combine to a novel 12-lead ECG algorithm to identify slow conducting anatomical isthmus 3 in patients with tetralogy of Fallot. Europace. Published 14 June 2023. doi:10.
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