Arrhythmias & electrophysiology

Impact of Cardiac Dimensions and Patient Phenotype on Electrocardiographic Criteria for Left Bundle Branch Capture

JACC AdvPublished Single-center prospective cohort

Authors' conclusion

Left ventricular size is an important determinant of paced ECG characteristics during LBB capture and influences the diagnostic performance of V6-RWPT. These findings support interpreting ECG criteria for LBB capture according to ventricular size.

Study context

Population
Patients with left bundle branch (LBB) capture confirmed by differential capture during conduction system pacingpatients with unequivocal LBB capture
Participants
307 patients
Exposure
Associations of cardiac dimensions (left ventricular end-diastolic diameter (LVEDD)) and patient phenotype with paced electrocardiographic (ECG) parameters; V6-RWPT diagnostic performance across LVEDD strata
Outcome
Paced V6-RWPT, V1-RWPT, paced QRS duration and V6-V1 interpeak interval by LVEDD
Methodological detailsconsecutive patients, LBB capture confirmed by differential capture
  • Consecutive patients
  • LBB capture confirmed by differential capture

Main finding

As reported in the abstract

  • LVEDD independently associated with longer paced V6-RWPT, V1-RWPT, and paced QRS duration, but not with the V6-V1 interpeak interval
  • Patient phenotype not independently associated with paced ECG parameters

Observational data: associations, not effects.

Further findings

Paced V6-RWPT per 10-mm increase in LVEDD

Increase in paced V6-RWPT per 10-mm increase in LVEDD
2.13-ms

Diagnostic performance of V6-RWPT by LVEDD

LVEDD modified the relationship between V6-RWPT and LBB capture, interaction B
−0.003
Sensitivity of established V6-RWPT cutoffs decreased progressively with increasing LVEDD
Lower ROC discrimination in larger ventricles, particularly in diseased LBB
  • P = 0.022

Original publication

Impact of Cardiac Dimensions and Patient Phenotype on Electrocardiographic Criteria for Left Bundle Branch Capture. JACC Adv. Published 26 October 2026. doi:10.1016/j.jacadv.2026.103389

Composed by AI from the published abstract and checked against it. How Briefs are made →

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