Significance of effective cardiac resynchronization therapy pacing for clinical responses: An analysis based on the effective cardiac resynchronization therapy algorithm.

Atrial fibrillation Biventricular pacing Cardiac resynchronization therapy Effective pacing Heart failure QRS duration

Journal

Heart rhythm
ISSN: 1556-3871
Titre abrégé: Heart Rhythm
Pays: United States
ID NLM: 101200317

Informations de publication

Date de publication:
09 2023
Historique:
received: 04 02 2023
revised: 30 05 2023
accepted: 07 06 2023
medline: 1 9 2023
pubmed: 13 6 2023
entrez: 12 6 2023
Statut: ppublish

Résumé

High percent ventricular pacing maximizes cardiac resynchronization therapy (CRT) response. An effective CRT algorithm classifies each left ventricular (LV) pace as effective or ineffective on the basis of the detection of QS or QS-r morphology on the electrogram; however, the relationship between percent effective CRT pacing (%e-CRT) and responses is unclear. We aimed to clarify the association between %e-CRT and clinical outcomes. Of the 136 consecutive CRT patients, 49 using the adaptive and effective CRT algorithm with percent ventricular pacing > 90% were evaluated. The primary and secondary outcomes were heart failure (HF) hospitalization and prevalence of CRT responders, defined as patients with an improvement in LV ejection fraction of ≥10% or a reduction in LV end-systolic volume of ≥15% after CRT device implantation, respectively. We divided the patients into the effective group (n = 25) and the less effective group (n = 24) by the median value of %e-CRT (97.4% [93.7%-98.3%]). During the median follow-up period of 507 days (interquartile range 335-730 days), the effective group had a significantly lower risk of HF hospitalization than the less effective group as revealed by Kaplan-Meier analysis (log-rank, P = .016). Univariate analysis revealed %e-CRT ≥ 97.4% (hazard ratio 0.12; 95% confidence interval 0.01-0.95; P = .045) as a predictor of HF hospitalization. The effective group had a higher prevalence of CRT responders than the less effective group (23 [92%] vs 9 [38%]; P < .001). Univariate analysis revealed that %e-CRT ≥ 97.4% (odds ratio 19.20; 95% confidence interval 3.63-101.00; P < .001) was a predictor of CRT response. High %e-CRT is associated with high CRT responder prevalence and low HF hospitalization risk.

Sections du résumé

BACKGROUND
High percent ventricular pacing maximizes cardiac resynchronization therapy (CRT) response. An effective CRT algorithm classifies each left ventricular (LV) pace as effective or ineffective on the basis of the detection of QS or QS-r morphology on the electrogram; however, the relationship between percent effective CRT pacing (%e-CRT) and responses is unclear.
OBJECTIVE
We aimed to clarify the association between %e-CRT and clinical outcomes.
METHODS
Of the 136 consecutive CRT patients, 49 using the adaptive and effective CRT algorithm with percent ventricular pacing > 90% were evaluated. The primary and secondary outcomes were heart failure (HF) hospitalization and prevalence of CRT responders, defined as patients with an improvement in LV ejection fraction of ≥10% or a reduction in LV end-systolic volume of ≥15% after CRT device implantation, respectively.
RESULTS
We divided the patients into the effective group (n = 25) and the less effective group (n = 24) by the median value of %e-CRT (97.4% [93.7%-98.3%]). During the median follow-up period of 507 days (interquartile range 335-730 days), the effective group had a significantly lower risk of HF hospitalization than the less effective group as revealed by Kaplan-Meier analysis (log-rank, P = .016). Univariate analysis revealed %e-CRT ≥ 97.4% (hazard ratio 0.12; 95% confidence interval 0.01-0.95; P = .045) as a predictor of HF hospitalization. The effective group had a higher prevalence of CRT responders than the less effective group (23 [92%] vs 9 [38%]; P < .001). Univariate analysis revealed that %e-CRT ≥ 97.4% (odds ratio 19.20; 95% confidence interval 3.63-101.00; P < .001) was a predictor of CRT response.
CONCLUSION
High %e-CRT is associated with high CRT responder prevalence and low HF hospitalization risk.

Identifiants

pubmed: 37307884
pii: S1547-5271(23)02332-9
doi: 10.1016/j.hrthm.2023.06.005
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1289-1296

Informations de copyright

Copyright © 2023 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Auteurs

Satoshi Oka (S)

Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan; Department of Advanced Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.

Nobuhiko Ueda (N)

Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan. Electronic address: rabbitueda2003@ncvc.go.jp.

Kohei Ishibashi (K)

Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan.

Takashi Noda (T)

Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan.

Yuichiro Miyazaki (Y)

Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan; Department of Advanced Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.

Akinori Wakamiya (A)

Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan.

Keiko Shimamoto (K)

Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan.

Kenzaburo Nakajima (K)

Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan.

Tsukasa Kamakura (T)

Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan.

Mitsuru Wada (M)

Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan; Department of Advanced Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.

Yuko Inoue (Y)

Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan.

Koji Miyamoto (K)

Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan.

Satoshi Nagase (S)

Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan.

Takeshi Aiba (T)

Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan.

Hideaki Kanzaki (H)

Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan.

Chisato Izumi (C)

Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan.

Kengo Kusano (K)

Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan; Department of Advanced Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.

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Classifications MeSH