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Heart Rate Turbulence Predicts Survival Independently From Severity of Liver Dysfunction in Patients With Cirrhosis
BACKGROUND: Reduced heart rate variability (HRV) is an independent predictor of mortality in patients with cirrhosis. However, conventional HRV indices can only be interpreted in individuals with normal sinus rhythm. In patients with recurrent premature ventricular complexes (PVCs), the predictive c...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755978/ https://www.ncbi.nlm.nih.gov/pubmed/33362578 http://dx.doi.org/10.3389/fphys.2020.602456 |
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author | Oyelade, Tope Canciani, Gabriele Bottaro, Matteo Zaccaria, Marta Formentin, Chiara Moore, Kevin Montagnese, Sara Mani, Ali R. |
author_facet | Oyelade, Tope Canciani, Gabriele Bottaro, Matteo Zaccaria, Marta Formentin, Chiara Moore, Kevin Montagnese, Sara Mani, Ali R. |
author_sort | Oyelade, Tope |
collection | PubMed |
description | BACKGROUND: Reduced heart rate variability (HRV) is an independent predictor of mortality in patients with cirrhosis. However, conventional HRV indices can only be interpreted in individuals with normal sinus rhythm. In patients with recurrent premature ventricular complexes (PVCs), the predictive capacity of conventional HRV indices is compromised. Heart Rate Turbulence (HRT) represents the biphasic change of the heart rate after PVCs. This study was aimed to define whether HRT parameters could predict mortality in cirrhotic patients. MATERIALS AND METHODS: 24 h electrocardiogram recordings were collected from 40 cirrhotic patients. Turbulence Onset was calculated as HRT indices. The enrolled patients were followed up for 12 months after the recruitment in relation to survival and/or transplantation. RESULTS: During the follow-up period, 21 patients (52.5%) survived, 12 patients (30%) died and 7 patients (17.5%) had liver transplantation. Turbulence Onset was found to be strongly linked with mortality on Cox regression (Hazard ratio = 1.351, p < 0.05). Moreover, Turbulence Onset predicted mortality independently of MELD and Child-Pugh’s Score. CONCLUSION: This study provides further evidence of autonomic dysfunction in cirrhosis and suggests that HRT is reliable alternative to HRV in patients with PVCs. |
format | Online Article Text |
id | pubmed-7755978 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77559782020-12-24 Heart Rate Turbulence Predicts Survival Independently From Severity of Liver Dysfunction in Patients With Cirrhosis Oyelade, Tope Canciani, Gabriele Bottaro, Matteo Zaccaria, Marta Formentin, Chiara Moore, Kevin Montagnese, Sara Mani, Ali R. Front Physiol Physiology BACKGROUND: Reduced heart rate variability (HRV) is an independent predictor of mortality in patients with cirrhosis. However, conventional HRV indices can only be interpreted in individuals with normal sinus rhythm. In patients with recurrent premature ventricular complexes (PVCs), the predictive capacity of conventional HRV indices is compromised. Heart Rate Turbulence (HRT) represents the biphasic change of the heart rate after PVCs. This study was aimed to define whether HRT parameters could predict mortality in cirrhotic patients. MATERIALS AND METHODS: 24 h electrocardiogram recordings were collected from 40 cirrhotic patients. Turbulence Onset was calculated as HRT indices. The enrolled patients were followed up for 12 months after the recruitment in relation to survival and/or transplantation. RESULTS: During the follow-up period, 21 patients (52.5%) survived, 12 patients (30%) died and 7 patients (17.5%) had liver transplantation. Turbulence Onset was found to be strongly linked with mortality on Cox regression (Hazard ratio = 1.351, p < 0.05). Moreover, Turbulence Onset predicted mortality independently of MELD and Child-Pugh’s Score. CONCLUSION: This study provides further evidence of autonomic dysfunction in cirrhosis and suggests that HRT is reliable alternative to HRV in patients with PVCs. Frontiers Media S.A. 2020-12-09 /pmc/articles/PMC7755978/ /pubmed/33362578 http://dx.doi.org/10.3389/fphys.2020.602456 Text en Copyright © 2020 Oyelade, Canciani, Bottaro, Zaccaria, Formentin, Moore, Montagnese and Mani. http://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 | Physiology Oyelade, Tope Canciani, Gabriele Bottaro, Matteo Zaccaria, Marta Formentin, Chiara Moore, Kevin Montagnese, Sara Mani, Ali R. Heart Rate Turbulence Predicts Survival Independently From Severity of Liver Dysfunction in Patients With Cirrhosis |
title | Heart Rate Turbulence Predicts Survival Independently From Severity of Liver Dysfunction in Patients With Cirrhosis |
title_full | Heart Rate Turbulence Predicts Survival Independently From Severity of Liver Dysfunction in Patients With Cirrhosis |
title_fullStr | Heart Rate Turbulence Predicts Survival Independently From Severity of Liver Dysfunction in Patients With Cirrhosis |
title_full_unstemmed | Heart Rate Turbulence Predicts Survival Independently From Severity of Liver Dysfunction in Patients With Cirrhosis |
title_short | Heart Rate Turbulence Predicts Survival Independently From Severity of Liver Dysfunction in Patients With Cirrhosis |
title_sort | heart rate turbulence predicts survival independently from severity of liver dysfunction in patients with cirrhosis |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755978/ https://www.ncbi.nlm.nih.gov/pubmed/33362578 http://dx.doi.org/10.3389/fphys.2020.602456 |
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