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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kerola, Tuomas, Dewland, Thomas A., Vittinghoff, Eric, Heckbert, Susan R., Stein, Phyllis K., Marcus, Gregory M.
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