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Non-specific electrocardiographic ST-T abnormalities predict mortality in patients on peritoneal dialysis
BACKGROUND: This study aimed to evaluate the predictive value of non-specific ST-segment and/or T-wave abnormalities in electrocardiography (ECG) for all-cause and cardiovascular mortality (CVM) in peritoneal dialysis (PD) patients. METHODS: All patients who started PD between November 1, 2005, and...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798218/ https://www.ncbi.nlm.nih.gov/pubmed/36588547 http://dx.doi.org/10.3389/fcvm.2022.930517 |
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author | Zhan, Xiaojiang Zeng, Chuanfei He, Jiajing Wang, Menghui Xiao, Jun |
author_facet | Zhan, Xiaojiang Zeng, Chuanfei He, Jiajing Wang, Menghui Xiao, Jun |
author_sort | Zhan, Xiaojiang |
collection | PubMed |
description | BACKGROUND: This study aimed to evaluate the predictive value of non-specific ST-segment and/or T-wave abnormalities in electrocardiography (ECG) for all-cause and cardiovascular mortality (CVM) in peritoneal dialysis (PD) patients. METHODS: All patients who started PD between November 1, 2005, and February 28, 2017, at the First Affiliated Hospital of Nanchang University were enrolled. The primary outcomes were all-cause mortality and CVM. The Kaplan–Meier method and a log-rank test were used for the survival analysis. Multivariate Cox proportional hazards models were used to investigate the risk factors for all-cause mortality and CVM. RESULTS: A total of 724 eligible PD patients were enrolled, including 401 (55.4%) men. In total, 153 (21.1%) patients died during a mean follow-up period of 27 (interquartile range, 13–41) months, and cardiovascular death was responsible for 84 of these deaths. The patients with non-specific ST-T abnormalities (NSSTTAs) had lower overall and cardiovascular survival rates compared to those free from any ECG abnormalities. According to the multivariate Cox proportional hazards models, (NSSTTAs) are independent risk factors for all-cause mortality and CVM, the hazard ratios are 1.81 (95% confidence interval, 1.11–2.95; p = 0.017) and 2.86 (95% confidence interval, 1.52–5.37; p = 0.001), respectively. CONCLUSION: Non-specific ST-T abnormalities can serve as risk markers of all-cause and CVM in PD patients. |
format | Online Article Text |
id | pubmed-9798218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97982182022-12-30 Non-specific electrocardiographic ST-T abnormalities predict mortality in patients on peritoneal dialysis Zhan, Xiaojiang Zeng, Chuanfei He, Jiajing Wang, Menghui Xiao, Jun Front Cardiovasc Med Cardiovascular Medicine BACKGROUND: This study aimed to evaluate the predictive value of non-specific ST-segment and/or T-wave abnormalities in electrocardiography (ECG) for all-cause and cardiovascular mortality (CVM) in peritoneal dialysis (PD) patients. METHODS: All patients who started PD between November 1, 2005, and February 28, 2017, at the First Affiliated Hospital of Nanchang University were enrolled. The primary outcomes were all-cause mortality and CVM. The Kaplan–Meier method and a log-rank test were used for the survival analysis. Multivariate Cox proportional hazards models were used to investigate the risk factors for all-cause mortality and CVM. RESULTS: A total of 724 eligible PD patients were enrolled, including 401 (55.4%) men. In total, 153 (21.1%) patients died during a mean follow-up period of 27 (interquartile range, 13–41) months, and cardiovascular death was responsible for 84 of these deaths. The patients with non-specific ST-T abnormalities (NSSTTAs) had lower overall and cardiovascular survival rates compared to those free from any ECG abnormalities. According to the multivariate Cox proportional hazards models, (NSSTTAs) are independent risk factors for all-cause mortality and CVM, the hazard ratios are 1.81 (95% confidence interval, 1.11–2.95; p = 0.017) and 2.86 (95% confidence interval, 1.52–5.37; p = 0.001), respectively. CONCLUSION: Non-specific ST-T abnormalities can serve as risk markers of all-cause and CVM in PD patients. Frontiers Media S.A. 2022-12-15 /pmc/articles/PMC9798218/ /pubmed/36588547 http://dx.doi.org/10.3389/fcvm.2022.930517 Text en Copyright © 2022 Zhan, Zeng, He, Wang and Xiao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cardiovascular Medicine Zhan, Xiaojiang Zeng, Chuanfei He, Jiajing Wang, Menghui Xiao, Jun Non-specific electrocardiographic ST-T abnormalities predict mortality in patients on peritoneal dialysis |
title | Non-specific electrocardiographic ST-T abnormalities predict mortality in patients on peritoneal dialysis |
title_full | Non-specific electrocardiographic ST-T abnormalities predict mortality in patients on peritoneal dialysis |
title_fullStr | Non-specific electrocardiographic ST-T abnormalities predict mortality in patients on peritoneal dialysis |
title_full_unstemmed | Non-specific electrocardiographic ST-T abnormalities predict mortality in patients on peritoneal dialysis |
title_short | Non-specific electrocardiographic ST-T abnormalities predict mortality in patients on peritoneal dialysis |
title_sort | non-specific electrocardiographic st-t abnormalities predict mortality in patients on peritoneal dialysis |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798218/ https://www.ncbi.nlm.nih.gov/pubmed/36588547 http://dx.doi.org/10.3389/fcvm.2022.930517 |
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