Cargando…
Prognostic factors of pacing-induced cardiomyopathy
BACKGROUND: The detrimental outcomes of right ventricular pacing on left ventricular electromechanical function ultimately result in heart failure, a phenomenon termed pacing-induced cardiomyopathy (PICM) in clinical research. This study aimed to validate prognostic factors that can be used to ident...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386339/ https://www.ncbi.nlm.nih.gov/pubmed/32568868 http://dx.doi.org/10.1097/CM9.0000000000000856 |
_version_ | 1783563932676390912 |
---|---|
author | Zhang, Hong Zhou, Yu-Jie Zeng, Yu-Jie |
author_facet | Zhang, Hong Zhou, Yu-Jie Zeng, Yu-Jie |
author_sort | Zhang, Hong |
collection | PubMed |
description | BACKGROUND: The detrimental outcomes of right ventricular pacing on left ventricular electromechanical function ultimately result in heart failure, a phenomenon termed pacing-induced cardiomyopathy (PICM) in clinical research. This study aimed to validate prognostic factors that can be used to identify patients with higher susceptibility to progress to the stage of cardiomyopathy before pacemaker implantation. METHODS: This observational analysis enrolled 256 patients between January 2013 and June 2016, 23 (8.98%) of whom progressed to PICM after 1 year of follow-up. A Cox proportional hazard model was used to analyze the prognostic factors associated with PICM. Dose-response analysis was used to evaluate the relationship between significant indicators in multifactor analysis and PICM. RESULTS: The mean values of left ventricular ejection fraction before and after pacemaker implantation in 23 patients diagnosed with PICM were 62.3% and 42.7%, respectively. Univariate analysis showed that sex, atrio-ventricular block, paced QRS duration, and ventricular pacing percentage were significantly associated with PICM. In the multivariate analysis, male sex (hazard ratio: 1.20, 95% confidence interval [CI]: 1.09–1.33, P < 0.005), paced QRS duration (hazard ratio: 1.95 per 1 ms increase, 95% CI: 1.80–2.12, P < 0.001), and ventricular pacing percentage (hazard ratio: 1.65 per 1% increase, 95% CI: 1.51–1.79, P < 0.001) were independent prognostic factors associated with the development of PICM. The ventricular pacing percentage and paced QRS duration level defined by the dose-response analysis were positively associated with PICM (P < 0.05). CONCLUSIONS: Our findings indicated that paced QRS duration and ventricular pacing percentage were the most sensitive prognostic factors for PICM. |
format | Online Article Text |
id | pubmed-7386339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-73863392020-08-05 Prognostic factors of pacing-induced cardiomyopathy Zhang, Hong Zhou, Yu-Jie Zeng, Yu-Jie Chin Med J (Engl) Original Articles BACKGROUND: The detrimental outcomes of right ventricular pacing on left ventricular electromechanical function ultimately result in heart failure, a phenomenon termed pacing-induced cardiomyopathy (PICM) in clinical research. This study aimed to validate prognostic factors that can be used to identify patients with higher susceptibility to progress to the stage of cardiomyopathy before pacemaker implantation. METHODS: This observational analysis enrolled 256 patients between January 2013 and June 2016, 23 (8.98%) of whom progressed to PICM after 1 year of follow-up. A Cox proportional hazard model was used to analyze the prognostic factors associated with PICM. Dose-response analysis was used to evaluate the relationship between significant indicators in multifactor analysis and PICM. RESULTS: The mean values of left ventricular ejection fraction before and after pacemaker implantation in 23 patients diagnosed with PICM were 62.3% and 42.7%, respectively. Univariate analysis showed that sex, atrio-ventricular block, paced QRS duration, and ventricular pacing percentage were significantly associated with PICM. In the multivariate analysis, male sex (hazard ratio: 1.20, 95% confidence interval [CI]: 1.09–1.33, P < 0.005), paced QRS duration (hazard ratio: 1.95 per 1 ms increase, 95% CI: 1.80–2.12, P < 0.001), and ventricular pacing percentage (hazard ratio: 1.65 per 1% increase, 95% CI: 1.51–1.79, P < 0.001) were independent prognostic factors associated with the development of PICM. The ventricular pacing percentage and paced QRS duration level defined by the dose-response analysis were positively associated with PICM (P < 0.05). CONCLUSIONS: Our findings indicated that paced QRS duration and ventricular pacing percentage were the most sensitive prognostic factors for PICM. Wolters Kluwer Health 2020-07-05 2020-06-19 /pmc/articles/PMC7386339/ /pubmed/32568868 http://dx.doi.org/10.1097/CM9.0000000000000856 Text en Copyright © 2020 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 |
spellingShingle | Original Articles Zhang, Hong Zhou, Yu-Jie Zeng, Yu-Jie Prognostic factors of pacing-induced cardiomyopathy |
title | Prognostic factors of pacing-induced cardiomyopathy |
title_full | Prognostic factors of pacing-induced cardiomyopathy |
title_fullStr | Prognostic factors of pacing-induced cardiomyopathy |
title_full_unstemmed | Prognostic factors of pacing-induced cardiomyopathy |
title_short | Prognostic factors of pacing-induced cardiomyopathy |
title_sort | prognostic factors of pacing-induced cardiomyopathy |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386339/ https://www.ncbi.nlm.nih.gov/pubmed/32568868 http://dx.doi.org/10.1097/CM9.0000000000000856 |
work_keys_str_mv | AT zhanghong prognosticfactorsofpacinginducedcardiomyopathy AT zhouyujie prognosticfactorsofpacinginducedcardiomyopathy AT zengyujie prognosticfactorsofpacinginducedcardiomyopathy |