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Record W4327521512 · doi:10.1097/cm9.0000000000002357

Comparison of immediate changes of repolarization parameters after left bundle branch area pacing and traditional biventricular pacing in heart failure patients

2022· letter· en· W4327521512 on OpenAlexaff
Yao Li, Wenzhao Lu, Qingyun Hu, Chendi Cheng, Jinxuan Lin, Yuan Zhou, Ruohan Chen, Yan Dai, Keping Chen, Shu Zhang

Bibliographic record

VenueChinese Medical Journal · 2022
Typeletter
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsCardiac resynchronization therapyMedicineCardiologyInternal medicineEjection fractionHeart failureQRS complexSinus rhythmRepolarizationQT intervalAtrial fibrillationLeft bundle branch blockVentricular dyssynchronyElectrocardiographyProarrhythmia

Abstract

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To the Editor: Cardiac resynchronization therapy (CRT) is an effective treatment for advanced chronic heart failure (HF) patients with reduced ejection fraction. Despite its beneficial effects on cardiac function, traditional biventricular epicardial pacing (BiVP-epi) could not reduce ventricular arrhythmias (VAs) burden in all HF patients.[1] The increase in the dispersion of ventricular repolarization (DVR) after BiVP-epi in non-responders may play a role.[2] Recently, left bundle branch area pacing (LBBAP) has been reported as a feasible option for CRT delivery, while little is known about its influence on DVR. This retrospective study aimed to thoroughly evaluate the changes of DVR after LBBAP in HF patients and compare the repolarization features between LBBAP and BiVP-epi. HF patients who had undergone successful LBBAP or BiVP-epi from January 2016 to July 2021 were consecutively enrolled. The inclusion criteria were as follows: (1) New York Heart Association functional class II–IV despite optimal guideline-based medications for at least 3 months; (2) left ventricular ejection fraction ≤50%; (3) indications for CRT implantation and/or ventricular pacing; (4) QRS duration (QRSd) ≥130 ms. Postoperative 12-lead electrocardiogram (ECGs) under intrinsic and ventricular-paced rhythm within 24 h were recorded for each patient. Heart rate, QRSd, QT interval, QTc interval, Tpeak-Tend (TpTe), and TpTe/QT were measured in all 12 leads for three beats during sinus rhythm and for five beats during atrial fibrillation, and the averages were taken. To be noted, post-implant TpTe was the primary outcome parameter of the study while the others were secondary outcome parameters, since TpTe was the more commonly used and accurate ECG metric reflecting DVR. The study was approved by the Ethics Committee (No. 2011-366) and obeyed the Declaration of Helsinki. A total of 109 HF patients were included in the study, with 49 patients in LBBAP group and 60 in BiVP-epi group [Supplementary Table 1, https://links.lww.com/CM9/B255]. After LBBAP, the repolarization parameters were significantly decreased in comparison with baseline: QTc (446.85 ± 38.56 vs. 477.07 ± 46.27, 95% confidence interval [CI] [−46.19, −14.25] ms, P < 0.001), TpTe (83.60 [74.85, 93.79] vs. 108.17 [95.71, 116.07], 95% CI [−25.60, −16.47] ms, P < 0.001), and TpTe/QT (0.20 [0.19, 0.22] vs. 0.23 [0.21, 0.24], 95% CI [−0.033, −0.019], P < 0.001) [Figure 1]. Besides, there was no significant difference in baseline repolarization parameters between LBBAP and BiVP-epi groups, while LBBAP group showed shorter QTc (446.85 ± 38.56 vs. 480.47 ± 34.69, 95% CI [−47.55, −19.70] ms, P < 0.001), TpTe (84.39 ± 14.12 vs. 113.20 ± 15.68, 95% CI [−34.54, −23.09] ms, P < 0.001), and TpTe/QT (0.20 ± 0.02 vs. 0.25 ± 0.03, 95% CI [−0.06, −0.04], P < 0.001) than BiVP-epi group under paced rhythm [Figure 1]. Of note, multiple linear regression was used to eliminate the potential confounding effects of baseline imbalance between groups and the results showed CRT delivery method (P < 0.001) and the application of amiodarone (P = 0.03) were independently related to repolarization parameters [Supplementary Table 2, https://links.lww.com/CM9/B255]. The effects of different optimization methods on repolarization were also assessed [Supplementary Figures 1–3, https://links.lww.com/CM9/B255]. Repolarization parameters showed no change after AV optimization. LBBAP-optimized CRT (LOT-CRT) significantly increased TpTe (95.58 ± 15.86 vs. 77.84 ± 17.51, 95% CI [7.70, 27.79] ms, P = 0.003) and TpTe/QT (0.23 ± 0.02 vs. 0.19 ± 0.02, 95% CI [0.02, 0.06], P = 0.001) in comparison with LBBAP only. Besides, the addition of right ventricular pacing (RVP) to LBBAP significantly increased TpTe (91.57 ± 12.45 vs. 86.38 ± 12.29, 95% CI [0.49, 9.88] ms, P = 0.03) and TpTe/QT (0.21 ± 0.02 vs. 0.20 ± 0.02, 95% CI [0.001, 0.02], P = 0.03).Figure 1: Comparison of QRSd (A), QTc (B), TpTe (C), and TpTe/QT (D) between LBBAP and BiVP-epi group. ∗ P < 0.05, ∗∗∗ P < 0.001. BiVP-epi: Epicardial LV biventricular pacing; LBBAP: Left bundle branch area pacing; QRSd: QRS duration; TpTe: Tpeak-Tend interval.Mitigating the adverse effects of traditional BiVP-epi on DVR is expected to reduce the risks of VAs and even sudden cardiac death (SCD) in CRT patients. One study with merely 13 patients with left bundle branch block (LBBB) induced cardiomyopathy found that LBBAP decreased the QTc, TpTe, and TpTe/QTc,[3] preliminarily indicating the beneficial effect of LBBAP on DVR. The results of the current study further verified the effect in a broader range of HF patients. In addition, the comparison of LBBAP and BiVP-epi on DVR was performed in the current study, and postoperative DVR were significantly lower in LBBAP patients. Since post-implant repolarization parameters have been identified as the independent predictors of appropriate ICD therapy in CRT patients,[2] the better repolarization stability in LBBAP group than BiVP-epi group may suggest lower VAs and low SCD risks in the former group. Yet large, randomized and long-term-follow-up trials are needed to confirm this. Besides, amiodarone was also identified as a significant factor influencing DVR, consistent with its pharmacological nature and previous studies.[4] In addition, the study found that CRT optimization in pursuit of the narrowest QRSd influenced repolarization in different ways. AV optimization and RVP are both common ways to diminish right bundle branch delay during LBBAP, and the latter was usually used in patients with AV block or atrial fibrillation. DVR showed no change after AV optimization, while the addition of RVP significantly increased DVR. The RV leads were mainly positioned at the apex or the lower septum in our population (mostly the defibrillation leads), thus activation from the cardiac apex to the base reversed the normal electrical propagation and DVR elevated. The addition of epicardial pacing to LBBAP (LOT-CRT) was able to further reduce left ventricular dyssynchrony in LBBB patients.[5] However, DVR was also significantly increased after LOT-CRT due to the reversal electrical propagation from epicardium to endocardium like BiVP-epi. According to these results, it may be more prudent to weigh the risk of DVR deterioration against the benefit of better depolarization synchrony concerning CRT optimization, especially for those with high SCD risks. In conclusion, LBBAP provided better repolarization status immediately after the implantation than BiVP-epi, and whether the incidence of VAs and/or SCD was lower in the former group remains to be further studied. Besides, the optimization approaches of LBBAP showed various influences on these parameters. The current study provided a reference for HF patients with high SCD risks to choose the optimal way of CRT delivery and optimization. Acknowledgments None. Funding The study was supported by grants from the National Natural Science Foundation of China (No. 81870260) and the Central Public-Interest Scientific Institution Basal Research Fund: Chinese Academy of Medical Sciences (Internal No. 2018-F01). Conflicts of interest None.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.902

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.285
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2022
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