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Impact of long-term optimizing atrioventricular delay using device-based algorithms on cardiac resynchronization therapy

Sub-optimal atrioventricular delay (AVD) is one of the main causes of non-responder for cardiac resynchronization therapy (CRT). Recently, device-based algorithms (DBAs) that provide optimal AVD based on intracardiac electrograms, have been developed. However, their long-term effectiveness is still...

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Autores principales: Ikeda, Yoshifumi, Kato, Ritsushi, Tsutsui, Kenta, Mori, Hitoshi, Kawano, Daisuke, Tanaka, Sayaka, Nakano, Shintaro, Senbonmatsu, Takaaki, Iwanaga, Shiro, Muramatsu, Toshihiro, Matsumoto, Kazuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Japan 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816250/
https://www.ncbi.nlm.nih.gov/pubmed/36173447
http://dx.doi.org/10.1007/s00380-022-02162-4
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author Ikeda, Yoshifumi
Kato, Ritsushi
Tsutsui, Kenta
Mori, Hitoshi
Kawano, Daisuke
Tanaka, Sayaka
Nakano, Shintaro
Senbonmatsu, Takaaki
Iwanaga, Shiro
Muramatsu, Toshihiro
Matsumoto, Kazuo
author_facet Ikeda, Yoshifumi
Kato, Ritsushi
Tsutsui, Kenta
Mori, Hitoshi
Kawano, Daisuke
Tanaka, Sayaka
Nakano, Shintaro
Senbonmatsu, Takaaki
Iwanaga, Shiro
Muramatsu, Toshihiro
Matsumoto, Kazuo
author_sort Ikeda, Yoshifumi
collection PubMed
description Sub-optimal atrioventricular delay (AVD) is one of the main causes of non-responder for cardiac resynchronization therapy (CRT). Recently, device-based algorithms (DBAs) that provide optimal AVD based on intracardiac electrograms, have been developed. However, their long-term effectiveness is still unknown. This study aims to investigate the effect of optimizing AVD using DBAs over a long period, on the prognosis of patients undergoing CRT. A total of 118 patients who underwent CRT at our hospital between April 2008 and March 2018, were retrospectively reviewed; 61 of them with optimizing AVD using DBAs were classified into the treated group (group 1), and the remaining 57 were classified into the control group (group 2). The median follow-up period was 46.0 months. The responder and survival rate in group 1 were significantly better than those in group 2 (group 1 vs. group 2: responder rate = 64% vs. 46%, p = 0.046; survival rate: 85.2% vs. 64.9%, p = 0.02). Moreover, investigating only the non-responder population showed that group 1 had an improved survival rate compared to group 2 (group 1 vs. group 2 = 72.7% vs. 45.1%, p = 0.02). Optimizing AVD using DBAs was a significant contributor to the improved survival rate in CRT non-responders in multivariate analysis (HR 3.6, p = 0.01). In conclusion, the long-term optimizing AVD using DBAs improved the survival rate in CRT and the prognosis of CRT non-responders, as well. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00380-022-02162-4.
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spelling pubmed-98162502023-01-07 Impact of long-term optimizing atrioventricular delay using device-based algorithms on cardiac resynchronization therapy Ikeda, Yoshifumi Kato, Ritsushi Tsutsui, Kenta Mori, Hitoshi Kawano, Daisuke Tanaka, Sayaka Nakano, Shintaro Senbonmatsu, Takaaki Iwanaga, Shiro Muramatsu, Toshihiro Matsumoto, Kazuo Heart Vessels Original Article Sub-optimal atrioventricular delay (AVD) is one of the main causes of non-responder for cardiac resynchronization therapy (CRT). Recently, device-based algorithms (DBAs) that provide optimal AVD based on intracardiac electrograms, have been developed. However, their long-term effectiveness is still unknown. This study aims to investigate the effect of optimizing AVD using DBAs over a long period, on the prognosis of patients undergoing CRT. A total of 118 patients who underwent CRT at our hospital between April 2008 and March 2018, were retrospectively reviewed; 61 of them with optimizing AVD using DBAs were classified into the treated group (group 1), and the remaining 57 were classified into the control group (group 2). The median follow-up period was 46.0 months. The responder and survival rate in group 1 were significantly better than those in group 2 (group 1 vs. group 2: responder rate = 64% vs. 46%, p = 0.046; survival rate: 85.2% vs. 64.9%, p = 0.02). Moreover, investigating only the non-responder population showed that group 1 had an improved survival rate compared to group 2 (group 1 vs. group 2 = 72.7% vs. 45.1%, p = 0.02). Optimizing AVD using DBAs was a significant contributor to the improved survival rate in CRT non-responders in multivariate analysis (HR 3.6, p = 0.01). In conclusion, the long-term optimizing AVD using DBAs improved the survival rate in CRT and the prognosis of CRT non-responders, as well. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00380-022-02162-4. Springer Japan 2022-09-29 2023 /pmc/articles/PMC9816250/ /pubmed/36173447 http://dx.doi.org/10.1007/s00380-022-02162-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Ikeda, Yoshifumi
Kato, Ritsushi
Tsutsui, Kenta
Mori, Hitoshi
Kawano, Daisuke
Tanaka, Sayaka
Nakano, Shintaro
Senbonmatsu, Takaaki
Iwanaga, Shiro
Muramatsu, Toshihiro
Matsumoto, Kazuo
Impact of long-term optimizing atrioventricular delay using device-based algorithms on cardiac resynchronization therapy
title Impact of long-term optimizing atrioventricular delay using device-based algorithms on cardiac resynchronization therapy
title_full Impact of long-term optimizing atrioventricular delay using device-based algorithms on cardiac resynchronization therapy
title_fullStr Impact of long-term optimizing atrioventricular delay using device-based algorithms on cardiac resynchronization therapy
title_full_unstemmed Impact of long-term optimizing atrioventricular delay using device-based algorithms on cardiac resynchronization therapy
title_short Impact of long-term optimizing atrioventricular delay using device-based algorithms on cardiac resynchronization therapy
title_sort impact of long-term optimizing atrioventricular delay using device-based algorithms on cardiac resynchronization therapy
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816250/
https://www.ncbi.nlm.nih.gov/pubmed/36173447
http://dx.doi.org/10.1007/s00380-022-02162-4
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