Association between excessive supraventricular ectopy and subclinical cerebrovascular disease: a population-based study

on behalf of the Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA) Research Group

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Background and purpose: The association between an increased supraventricular ectopic beat (SVEB) and subclinical cerebrovascular disease remains unclear. Given the emerging concept that an increased SVEB is a marker of atrial cardiomyopathy or atherosclerosis burden, we sought to determine whether excessive supraventricular ectopic activity (ESVEA) is associated with a higher burden of subclinical cerebrovascular disease in the middle-aged to older cohort with neither apparent stroke nor atrial fibrillation. Methods: We conducted a cross-sectional population-based study of 462 men (mean age, 68.1 years) who underwent 24-h Holter electrocardiography and brain magnetic resonance imaging. ESVEA was defined as the presence of >10 SVEBs/h. Subclinical cerebrovascular diseases were defined as silent brain infarct (SBI), white matter hyperintensity (WMH) and intracranial atherosclerotic stenosis (ICAS). The association of ESVEA with the presence of subclinical cerebrovascular diseases was adjusted for potential confounding covariates. Results: A total of 88 (19.0%) participants had ESVEA and 81 (17.5%), 91 (19.7%) and 109 (23.6%) had SBI, WMH and ICAS, respectively. In multivariable-adjusted Poisson regression with robust error variance, ESVEA was associated with the presence of WMH (relative risk, 1.58; 95% confidence interval, 1.06–2.36) and ICAS (relative risk, 1.49; 95% confidence interval, 1.02–2.18), but not with that of SBI (relative risk, 1.32; 95% confidence interval, 0.86–2.01). These associations were consistent when the graded distributions of subclinical cerebrovascular diseases were applied as outcomes in ordinal logistic regression. Conclusions: The ESVEA was independently associated with higher burdens of WMH and ICAS. This suggests that increased SVEBs might improve risk stratification of individuals at high risk of subclinical cerebrovascular disease and consequently apparent ischaemic stroke.

Original languageEnglish
Pages (from-to)1219-1225
Number of pages7
JournalEuropean Journal of Neurology
Volume26
Issue number9
DOIs
Publication statusPublished - Jan 1 2019
Externally publishedYes

Fingerprint

Cerebrovascular Disorders
Pathologic Constriction
Population
Brain
Confidence Intervals
Stroke
Ambulatory Electrocardiography
Cardiomyopathies
Atrial Fibrillation
Atherosclerosis
Logistic Models
Magnetic Resonance Imaging
White Matter

Keywords

  • atrial cardiomyopathy
  • electrocardiography
  • epidemiology
  • magnetic resonance imaging
  • premature atrial contraction
  • subclinical cerebrovascular disease/stroke

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

Cite this

on behalf of the Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA) Research Group (2019). Association between excessive supraventricular ectopy and subclinical cerebrovascular disease: a population-based study. European Journal of Neurology, 26(9), 1219-1225. https://doi.org/10.1111/ene.13970

Association between excessive supraventricular ectopy and subclinical cerebrovascular disease : a population-based study. / on behalf of the Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA) Research Group.

In: European Journal of Neurology, Vol. 26, No. 9, 01.01.2019, p. 1219-1225.

Research output: Contribution to journalArticle

on behalf of the Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA) Research Group 2019, 'Association between excessive supraventricular ectopy and subclinical cerebrovascular disease: a population-based study', European Journal of Neurology, vol. 26, no. 9, pp. 1219-1225. https://doi.org/10.1111/ene.13970
on behalf of the Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA) Research Group. Association between excessive supraventricular ectopy and subclinical cerebrovascular disease: a population-based study. European Journal of Neurology. 2019 Jan 1;26(9):1219-1225. https://doi.org/10.1111/ene.13970
on behalf of the Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA) Research Group. / Association between excessive supraventricular ectopy and subclinical cerebrovascular disease : a population-based study. In: European Journal of Neurology. 2019 ; Vol. 26, No. 9. pp. 1219-1225.
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T2 - a population-based study

AU - on behalf of the Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA) Research Group

AU - Hisamatsu, T.

AU - Miura, K.

AU - Fujiyoshi, A.

AU - Kunimura, A.

AU - Ito, T.

AU - Miyazawa, I.

AU - Torii, S.

AU - Shiino, A.

AU - Nozaki, K.

AU - Kanda, H.

AU - Arima, H.

AU - Ohkubo, T.

AU - Ueshima, H.

PY - 2019/1/1

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N2 - Background and purpose: The association between an increased supraventricular ectopic beat (SVEB) and subclinical cerebrovascular disease remains unclear. Given the emerging concept that an increased SVEB is a marker of atrial cardiomyopathy or atherosclerosis burden, we sought to determine whether excessive supraventricular ectopic activity (ESVEA) is associated with a higher burden of subclinical cerebrovascular disease in the middle-aged to older cohort with neither apparent stroke nor atrial fibrillation. Methods: We conducted a cross-sectional population-based study of 462 men (mean age, 68.1 years) who underwent 24-h Holter electrocardiography and brain magnetic resonance imaging. ESVEA was defined as the presence of >10 SVEBs/h. Subclinical cerebrovascular diseases were defined as silent brain infarct (SBI), white matter hyperintensity (WMH) and intracranial atherosclerotic stenosis (ICAS). The association of ESVEA with the presence of subclinical cerebrovascular diseases was adjusted for potential confounding covariates. Results: A total of 88 (19.0%) participants had ESVEA and 81 (17.5%), 91 (19.7%) and 109 (23.6%) had SBI, WMH and ICAS, respectively. In multivariable-adjusted Poisson regression with robust error variance, ESVEA was associated with the presence of WMH (relative risk, 1.58; 95% confidence interval, 1.06–2.36) and ICAS (relative risk, 1.49; 95% confidence interval, 1.02–2.18), but not with that of SBI (relative risk, 1.32; 95% confidence interval, 0.86–2.01). These associations were consistent when the graded distributions of subclinical cerebrovascular diseases were applied as outcomes in ordinal logistic regression. Conclusions: The ESVEA was independently associated with higher burdens of WMH and ICAS. This suggests that increased SVEBs might improve risk stratification of individuals at high risk of subclinical cerebrovascular disease and consequently apparent ischaemic stroke.

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KW - electrocardiography

KW - epidemiology

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KW - premature atrial contraction

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