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The estimated glomerular filtration rate predicts pacemaker-induced cardiomyopathy
Clinical predictors for pacemaker-induced cardiomyopathy (PICM) (e.g., a wide QRS duration and left bundle branch block at baseline) have been reported. However, factors involved in the development of PICM in patients with preserved left ventricular ejection fraction (LVEF) remain unknown. This stud...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545821/ https://www.ncbi.nlm.nih.gov/pubmed/37783787 http://dx.doi.org/10.1038/s41598-023-43953-7 |
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author | Oida, Mitsunori Hasumi, Eriko Kohsaku, Goto Kunihiro, Kani Oshima, Tsukasa Matsubara, Takumi J. Matsuda, Jun Shimizu, Yu Oguri, Gaku Kojima, Toshiya Fujiu, Katsuhito Komuro, Issei |
author_facet | Oida, Mitsunori Hasumi, Eriko Kohsaku, Goto Kunihiro, Kani Oshima, Tsukasa Matsubara, Takumi J. Matsuda, Jun Shimizu, Yu Oguri, Gaku Kojima, Toshiya Fujiu, Katsuhito Komuro, Issei |
author_sort | Oida, Mitsunori |
collection | PubMed |
description | Clinical predictors for pacemaker-induced cardiomyopathy (PICM) (e.g., a wide QRS duration and left bundle branch block at baseline) have been reported. However, factors involved in the development of PICM in patients with preserved left ventricular ejection fraction (LVEF) remain unknown. This study aimed to determine the risk factors for PICM in patients with preserved LVEF. The data of 113 patients (average age: 71.3 years; men: 54.9%) who had echocardiography before and after pacemaker implantation (PMI) among 465 patients undergoing dual-chamber PMI were retrospectively analyzed. Thirty-three patients were diagnosed with PICM (18.0/100 person-years; 95% CI 12.8–25.2). A univariate Cox regression analysis showed that an estimated glomerular filtration rate (eGFR) ≤ 30 mL/min/1.73 m(2) (HR 3.47; 95% CI 1.48–8.16) and a past medical history of coronary artery disease (CAD) (HR 2.76; 95% CI 1.36–5.60) were significantly associated with the onset of PICM. After adjusting for clinical variables, an eGFR ≤ 30 mL/min/1.73 m(2) (HR 2.62; 95% CI 1.09–6.29) and a medical history of CAD (HR 2.32; 95% CI 1.13–4.80) were independent risk factors for developing PICM. A medical history of CAD and low eGFR are independent risk factors for PICM in patients with preserved LVEF at baseline. These results could be helpful in predicting a decreased LVEF by ventricular pacing before PMI. Close follow-up by echocardiography is recommended to avoid a delay in upgrading to physiological pacing, such as cardiac resynchronization therapy or conduction system pacing. |
format | Online Article Text |
id | pubmed-10545821 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105458212023-10-04 The estimated glomerular filtration rate predicts pacemaker-induced cardiomyopathy Oida, Mitsunori Hasumi, Eriko Kohsaku, Goto Kunihiro, Kani Oshima, Tsukasa Matsubara, Takumi J. Matsuda, Jun Shimizu, Yu Oguri, Gaku Kojima, Toshiya Fujiu, Katsuhito Komuro, Issei Sci Rep Article Clinical predictors for pacemaker-induced cardiomyopathy (PICM) (e.g., a wide QRS duration and left bundle branch block at baseline) have been reported. However, factors involved in the development of PICM in patients with preserved left ventricular ejection fraction (LVEF) remain unknown. This study aimed to determine the risk factors for PICM in patients with preserved LVEF. The data of 113 patients (average age: 71.3 years; men: 54.9%) who had echocardiography before and after pacemaker implantation (PMI) among 465 patients undergoing dual-chamber PMI were retrospectively analyzed. Thirty-three patients were diagnosed with PICM (18.0/100 person-years; 95% CI 12.8–25.2). A univariate Cox regression analysis showed that an estimated glomerular filtration rate (eGFR) ≤ 30 mL/min/1.73 m(2) (HR 3.47; 95% CI 1.48–8.16) and a past medical history of coronary artery disease (CAD) (HR 2.76; 95% CI 1.36–5.60) were significantly associated with the onset of PICM. After adjusting for clinical variables, an eGFR ≤ 30 mL/min/1.73 m(2) (HR 2.62; 95% CI 1.09–6.29) and a medical history of CAD (HR 2.32; 95% CI 1.13–4.80) were independent risk factors for developing PICM. A medical history of CAD and low eGFR are independent risk factors for PICM in patients with preserved LVEF at baseline. These results could be helpful in predicting a decreased LVEF by ventricular pacing before PMI. Close follow-up by echocardiography is recommended to avoid a delay in upgrading to physiological pacing, such as cardiac resynchronization therapy or conduction system pacing. Nature Publishing Group UK 2023-10-02 /pmc/articles/PMC10545821/ /pubmed/37783787 http://dx.doi.org/10.1038/s41598-023-43953-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Article Oida, Mitsunori Hasumi, Eriko Kohsaku, Goto Kunihiro, Kani Oshima, Tsukasa Matsubara, Takumi J. Matsuda, Jun Shimizu, Yu Oguri, Gaku Kojima, Toshiya Fujiu, Katsuhito Komuro, Issei The estimated glomerular filtration rate predicts pacemaker-induced cardiomyopathy |
title | The estimated glomerular filtration rate predicts pacemaker-induced cardiomyopathy |
title_full | The estimated glomerular filtration rate predicts pacemaker-induced cardiomyopathy |
title_fullStr | The estimated glomerular filtration rate predicts pacemaker-induced cardiomyopathy |
title_full_unstemmed | The estimated glomerular filtration rate predicts pacemaker-induced cardiomyopathy |
title_short | The estimated glomerular filtration rate predicts pacemaker-induced cardiomyopathy |
title_sort | estimated glomerular filtration rate predicts pacemaker-induced cardiomyopathy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545821/ https://www.ncbi.nlm.nih.gov/pubmed/37783787 http://dx.doi.org/10.1038/s41598-023-43953-7 |
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