Back

Clinical significance and possible mechanism of different ventricular electrogram morphology in selective left bundle branch pacing

Wang, D.; Jiang, L.; Shen, J.; Li, H.

2024-12-03 cardiovascular medicine
10.1101/2024.12.02.24318355 medRxiv
Show abstract

BackgroundCurrently, splitting of electrogram (EGM) or electrocardiogram (ECG) under threshold test are used as the gold standard to assess Left bundle branch (LBB) capture in LBB area pacing. However, discrete intracardiac ventricular EGM has not been reported until now. This study aims to explore the clinical significance and possible mechanism of different pacing ventricular EGM morphologies in selective LBB pacing. MethodsOnly patients with evidence of selective LBB pacing (splitting of EGM under threshold test) were included. According to the differences between intrinsic and paced ventricular EGM morphologies, the participants were further divided into three groups: concordant EGM (CE) group, similar EGM (SE) group and discordant EGM (DE) group. Baseline characteristics, indications for pacing, pacing parameters, and V6 R-wave peak time were analyzed. Results274 patients (85.6%) achieved successful selective LBB pacing. After excluding 34 LBBB patients, LBB potential was recorded in 192 (80%) of 240 patients. In patients with LBB potential, the correlation between V-V6(P) RWPT and V-V6(S) RWPT in CE group (r=0.083, P<0.0001) and SE group (r=0.766, P<0.0001) were strong. V-V6(S) RWPT was significantly shorter than V-V6(P) RWPT (38.14{+/-}9.42 vs. 43.68{+/-}6.72, P<0.01) in DE group. In patients without LBB potential, V-V6(S) RWPT was significantly shorter than V-V6 RWPT (38.14{+/-}11.60 vs. 46.15{+/-}11.81, P<0.05) in DE group. There was a strong correlation (r=0.943, P<0.0001) between V-V6 RWPT and V-V6(S) RWPT in CE group, a possible correlation (r=0.564, P=0.07) in SE group, while poor correlation (r=0.259, P=0.27) in DE group. ConclusionThe continuous recording technique combined with High Pass-200 Hz filter setting was feasible and effective for confirming selective LBB pacing by discrete EGM. Concordant or similar intrinsic and pacing ventricular EGM indicated that the electric conduction shared the same pathway, while discordant intrinsic and pacing ventricular EGM indicated that the electrical stimulation is conducted through different pathway. WHAT IS KNOWN?1. Left bundle branch (LBB) pacing is a novel physiological pacing strategy. 2. Double transition in QRS morphology during threshold testing was considered as the criteria for LBB capture, and splitting of EGM under threshold test was used as the gold standard to assess selective LBB pacing. 3. Identifying discrete local ventricular EGM is still a challenging task. WHAT THE STUDY ADDS1. The continuous recording technique combined with High Pass-200 Hz filter setting was feasible and effective for confirming selective LBB pacing by discrete EGM. 2. Different pacing ventricular EGM morphologies compared with intrinsic EGM accounted for clinical significance and possible mechanism: concordant or similar intrinsic and pacing ventricular EGM indicated that the electric conduction shared the same pathway, while discordant intrinsic and pacing ventricular EGM indicated that the electrical stimulation is conducted through different pathway. 3. The anatomical structure of LBB and its fascicular branch was complex, which could not be adequately recorded by 12-lead ECG and EGM.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Heart Rhythm
22 papers in training set
Top 0.1%
41.7%
2
Frontiers in Cardiovascular Medicine
49 papers in training set
Top 0.5%
6.7%
3
Frontiers in Physiology
93 papers in training set
Top 0.8%
4.5%
50% of probability mass above
4
PLOS ONE
4510 papers in training set
Top 33%
4.5%
5
BMC Cardiovascular Disorders
14 papers in training set
Top 0.4%
4.2%
6
JACC: Clinical Electrophysiology
11 papers in training set
Top 0.1%
3.8%
7
The American Journal of Cardiology
15 papers in training set
Top 0.7%
3.2%
8
Scientific Reports
3102 papers in training set
Top 46%
2.5%
9
Journal of the American Heart Association
119 papers in training set
Top 2%
2.5%
10
International Journal of Cardiology
13 papers in training set
Top 0.2%
2.2%
11
Frontiers in Neurology
91 papers in training set
Top 2%
2.0%
12
Heart
10 papers in training set
Top 0.6%
1.6%
13
BMJ Open
554 papers in training set
Top 9%
1.6%
14
Journal of Clinical Medicine
91 papers in training set
Top 4%
1.3%
15
Computers in Biology and Medicine
120 papers in training set
Top 3%
1.3%
16
Open Heart
19 papers in training set
Top 0.9%
1.2%
17
Medicine
30 papers in training set
Top 2%
0.9%
18
Cureus
67 papers in training set
Top 4%
0.9%
19
Heliyon
146 papers in training set
Top 5%
0.8%
20
Physiological Measurement
12 papers in training set
Top 0.4%
0.8%
21
Journal of Molecular and Cellular Cardiology
39 papers in training set
Top 0.8%
0.8%
22
European Heart Journal - Digital Health
15 papers in training set
Top 0.7%
0.5%
23
PeerJ
261 papers in training set
Top 18%
0.5%
24
American Journal of Physiology-Heart and Circulatory Physiology
32 papers in training set
Top 1%
0.5%