Cargando…
Modifiable Predictors of Ventricular Ectopy in the Community
BACKGROUND: Premature ventricular contractions (PVCs) predict heart failure and death. Data regarding modifiable risk factors for PVCs are scarce. METHODS AND RESULTS: We studied 1424 Cardiovascular Health Study participants randomly assigned to 24‐hour Holter monitoring. Demographics, comorbidities...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404438/ https://www.ncbi.nlm.nih.gov/pubmed/30571495 http://dx.doi.org/10.1161/JAHA.118.010078 |
_version_ | 1783400887892312064 |
---|---|
author | Kerola, Tuomas Dewland, Thomas A. Vittinghoff, Eric Heckbert, Susan R. Stein, Phyllis K. Marcus, Gregory M. |
author_facet | Kerola, Tuomas Dewland, Thomas A. Vittinghoff, Eric Heckbert, Susan R. Stein, Phyllis K. Marcus, Gregory M. |
author_sort | Kerola, Tuomas |
collection | PubMed |
description | BACKGROUND: Premature ventricular contractions (PVCs) predict heart failure and death. Data regarding modifiable risk factors for PVCs are scarce. METHODS AND RESULTS: We studied 1424 Cardiovascular Health Study participants randomly assigned to 24‐hour Holter monitoring. Demographics, comorbidities, habits, and echocardiographic measurements were examined as predictors of PVC frequency and, among 845 participants, change in PVC frequency 5 years later. Participants exhibited a median of 0.6 (interquartile range, 0.1–7.1) PVCs per hour. Of the more directly modifiable characteristics and after multivariable adjustment, every SD increase in systolic blood pressure was associated with 9% more PVCs (95% confidence interval [CI], 2%–17%; P=0.01), regularly performing no or low‐intensity exercise compared with more physical activity was associated with ≈15% more PVCs (95% CI, 3–25%; P=0.02), and those with a history of smoking exhibited an average of 18% more PVCs (95% CI, 3–36%; P=0.02) than did never smokers. After 5 years, PVC frequency increased from a median of 0.5 (IQR, 0.1–4.7) to 1.2 (IQR, 0.1–13.8) per hour (P<0.0001). Directly modifiable predictors of 5‐year increase in PVCs, described as the odds per each quintile increase in PVCs, included increased diastolic blood pressure (odds ratio per SD increase, 1.16; 95% CI, 1.02–1.31; P=0.02) and a history of smoking (OR, 1.31; 95% CI, 1.02–1.68; P=0.04). CONCLUSIONS: Enhancing physical activity, smoking cessation, and aggressive control of blood pressure may represent fruitful strategies to mitigate PVC frequency and PVC‐associated adverse outcomes. |
format | Online Article Text |
id | pubmed-6404438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64044382019-03-18 Modifiable Predictors of Ventricular Ectopy in the Community Kerola, Tuomas Dewland, Thomas A. Vittinghoff, Eric Heckbert, Susan R. Stein, Phyllis K. Marcus, Gregory M. J Am Heart Assoc Original Research BACKGROUND: Premature ventricular contractions (PVCs) predict heart failure and death. Data regarding modifiable risk factors for PVCs are scarce. METHODS AND RESULTS: We studied 1424 Cardiovascular Health Study participants randomly assigned to 24‐hour Holter monitoring. Demographics, comorbidities, habits, and echocardiographic measurements were examined as predictors of PVC frequency and, among 845 participants, change in PVC frequency 5 years later. Participants exhibited a median of 0.6 (interquartile range, 0.1–7.1) PVCs per hour. Of the more directly modifiable characteristics and after multivariable adjustment, every SD increase in systolic blood pressure was associated with 9% more PVCs (95% confidence interval [CI], 2%–17%; P=0.01), regularly performing no or low‐intensity exercise compared with more physical activity was associated with ≈15% more PVCs (95% CI, 3–25%; P=0.02), and those with a history of smoking exhibited an average of 18% more PVCs (95% CI, 3–36%; P=0.02) than did never smokers. After 5 years, PVC frequency increased from a median of 0.5 (IQR, 0.1–4.7) to 1.2 (IQR, 0.1–13.8) per hour (P<0.0001). Directly modifiable predictors of 5‐year increase in PVCs, described as the odds per each quintile increase in PVCs, included increased diastolic blood pressure (odds ratio per SD increase, 1.16; 95% CI, 1.02–1.31; P=0.02) and a history of smoking (OR, 1.31; 95% CI, 1.02–1.68; P=0.04). CONCLUSIONS: Enhancing physical activity, smoking cessation, and aggressive control of blood pressure may represent fruitful strategies to mitigate PVC frequency and PVC‐associated adverse outcomes. John Wiley and Sons Inc. 2018-11-16 /pmc/articles/PMC6404438/ /pubmed/30571495 http://dx.doi.org/10.1161/JAHA.118.010078 Text en © 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Research Kerola, Tuomas Dewland, Thomas A. Vittinghoff, Eric Heckbert, Susan R. Stein, Phyllis K. Marcus, Gregory M. Modifiable Predictors of Ventricular Ectopy in the Community |
title | Modifiable Predictors of Ventricular Ectopy in the Community |
title_full | Modifiable Predictors of Ventricular Ectopy in the Community |
title_fullStr | Modifiable Predictors of Ventricular Ectopy in the Community |
title_full_unstemmed | Modifiable Predictors of Ventricular Ectopy in the Community |
title_short | Modifiable Predictors of Ventricular Ectopy in the Community |
title_sort | modifiable predictors of ventricular ectopy in the community |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404438/ https://www.ncbi.nlm.nih.gov/pubmed/30571495 http://dx.doi.org/10.1161/JAHA.118.010078 |
work_keys_str_mv | AT kerolatuomas modifiablepredictorsofventricularectopyinthecommunity AT dewlandthomasa modifiablepredictorsofventricularectopyinthecommunity AT vittinghofferic modifiablepredictorsofventricularectopyinthecommunity AT heckbertsusanr modifiablepredictorsofventricularectopyinthecommunity AT steinphyllisk modifiablepredictorsofventricularectopyinthecommunity AT marcusgregorym modifiablepredictorsofventricularectopyinthecommunity |