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Cardiovascular risk scoring and magnetic resonance imaging detected subclinical cerebrovascular disease
AIMS : Cardiovascular risk factors are used for risk stratification in primary prevention. We sought to determine if simple cardiac risk scores are associated with magnetic resonance imaging (MRI)-detected subclinical cerebrovascular disease including carotid wall volume (CWV), carotid intraplaque h...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7237958/ https://www.ncbi.nlm.nih.gov/pubmed/31565735 http://dx.doi.org/10.1093/ehjci/jez226 |
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author | Anand, Sonia S Tu, Jack V Desai, Dipika Awadalla, Phillip Robson, Paula Jacquemont, Sébastien Dummer, Trevor Le, Nhu Parker, Louise Poirier, Paul Teo, Koon Lear, Scott A Yusuf, Salim Tardif, Jean-Claude Marcotte, Francois Busseuil, David Després, Jean-Pierre Black, Sandra E Kirpalani, Anish Parraga, Grace Noseworthy, Michael D Dick, Alexander Leipsic, Jonathan Kelton, David Vena, Jennifer Thomas, Melissa Schulze, Karleen M Larose, Eric Moody, Alan R Smith, Eric E Friedrich, Matthias G |
author_facet | Anand, Sonia S Tu, Jack V Desai, Dipika Awadalla, Phillip Robson, Paula Jacquemont, Sébastien Dummer, Trevor Le, Nhu Parker, Louise Poirier, Paul Teo, Koon Lear, Scott A Yusuf, Salim Tardif, Jean-Claude Marcotte, Francois Busseuil, David Després, Jean-Pierre Black, Sandra E Kirpalani, Anish Parraga, Grace Noseworthy, Michael D Dick, Alexander Leipsic, Jonathan Kelton, David Vena, Jennifer Thomas, Melissa Schulze, Karleen M Larose, Eric Moody, Alan R Smith, Eric E Friedrich, Matthias G |
author_sort | Anand, Sonia S |
collection | PubMed |
description | AIMS : Cardiovascular risk factors are used for risk stratification in primary prevention. We sought to determine if simple cardiac risk scores are associated with magnetic resonance imaging (MRI)-detected subclinical cerebrovascular disease including carotid wall volume (CWV), carotid intraplaque haemorrhage (IPH), and silent brain infarction (SBI). METHODS AND RESULTS: A total of 7594 adults with no history of cardiovascular disease (CVD) underwent risk factor assessment and a non-contrast enhanced MRI of the carotid arteries and brain using a standardized protocol in a population-based cohort recruited between 2014 and 2018. The non-lab-based INTERHEART risk score (IHRS) was calculated in all participants; the Framingham Risk Score was calculated in a subset who provided blood samples (n = 3889). The association between these risk scores and MRI measures of CWV, carotid IPH, and SBI was determined. The mean age of the cohort was 58 (8.9) years, 55% were women. Each 5-point increase (∼1 SD) in the IHRS was associated with a 9 mm(3) increase in CWV, adjusted for sex (P < 0.0001), a 23% increase in IPH [95% confidence interval (CI) 9–38%], and a 32% (95% CI 20–45%) increase in SBI. These associations were consistent for lacunar and non-lacunar brain infarction. The Framingham Risk Score was also significantly associated with CWV, IPH, and SBI. CWV was additive and independent to the risk scores in its association with IPH and SBI. CONCLUSION : Simple cardiovascular risk scores are significantly associated with the presence of MRI-detected subclinical cerebrovascular disease, including CWV, IPH, and SBI in an adult population without known clinical CVD. |
format | Online Article Text |
id | pubmed-7237958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72379582020-05-26 Cardiovascular risk scoring and magnetic resonance imaging detected subclinical cerebrovascular disease Anand, Sonia S Tu, Jack V Desai, Dipika Awadalla, Phillip Robson, Paula Jacquemont, Sébastien Dummer, Trevor Le, Nhu Parker, Louise Poirier, Paul Teo, Koon Lear, Scott A Yusuf, Salim Tardif, Jean-Claude Marcotte, Francois Busseuil, David Després, Jean-Pierre Black, Sandra E Kirpalani, Anish Parraga, Grace Noseworthy, Michael D Dick, Alexander Leipsic, Jonathan Kelton, David Vena, Jennifer Thomas, Melissa Schulze, Karleen M Larose, Eric Moody, Alan R Smith, Eric E Friedrich, Matthias G Eur Heart J Cardiovasc Imaging Original Articles AIMS : Cardiovascular risk factors are used for risk stratification in primary prevention. We sought to determine if simple cardiac risk scores are associated with magnetic resonance imaging (MRI)-detected subclinical cerebrovascular disease including carotid wall volume (CWV), carotid intraplaque haemorrhage (IPH), and silent brain infarction (SBI). METHODS AND RESULTS: A total of 7594 adults with no history of cardiovascular disease (CVD) underwent risk factor assessment and a non-contrast enhanced MRI of the carotid arteries and brain using a standardized protocol in a population-based cohort recruited between 2014 and 2018. The non-lab-based INTERHEART risk score (IHRS) was calculated in all participants; the Framingham Risk Score was calculated in a subset who provided blood samples (n = 3889). The association between these risk scores and MRI measures of CWV, carotid IPH, and SBI was determined. The mean age of the cohort was 58 (8.9) years, 55% were women. Each 5-point increase (∼1 SD) in the IHRS was associated with a 9 mm(3) increase in CWV, adjusted for sex (P < 0.0001), a 23% increase in IPH [95% confidence interval (CI) 9–38%], and a 32% (95% CI 20–45%) increase in SBI. These associations were consistent for lacunar and non-lacunar brain infarction. The Framingham Risk Score was also significantly associated with CWV, IPH, and SBI. CWV was additive and independent to the risk scores in its association with IPH and SBI. CONCLUSION : Simple cardiovascular risk scores are significantly associated with the presence of MRI-detected subclinical cerebrovascular disease, including CWV, IPH, and SBI in an adult population without known clinical CVD. Oxford University Press 2020-06 2019-09-30 /pmc/articles/PMC7237958/ /pubmed/31565735 http://dx.doi.org/10.1093/ehjci/jez226 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the European Society of Cardiology http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Articles Anand, Sonia S Tu, Jack V Desai, Dipika Awadalla, Phillip Robson, Paula Jacquemont, Sébastien Dummer, Trevor Le, Nhu Parker, Louise Poirier, Paul Teo, Koon Lear, Scott A Yusuf, Salim Tardif, Jean-Claude Marcotte, Francois Busseuil, David Després, Jean-Pierre Black, Sandra E Kirpalani, Anish Parraga, Grace Noseworthy, Michael D Dick, Alexander Leipsic, Jonathan Kelton, David Vena, Jennifer Thomas, Melissa Schulze, Karleen M Larose, Eric Moody, Alan R Smith, Eric E Friedrich, Matthias G Cardiovascular risk scoring and magnetic resonance imaging detected subclinical cerebrovascular disease |
title | Cardiovascular risk scoring and magnetic resonance imaging detected subclinical cerebrovascular disease |
title_full | Cardiovascular risk scoring and magnetic resonance imaging detected subclinical cerebrovascular disease |
title_fullStr | Cardiovascular risk scoring and magnetic resonance imaging detected subclinical cerebrovascular disease |
title_full_unstemmed | Cardiovascular risk scoring and magnetic resonance imaging detected subclinical cerebrovascular disease |
title_short | Cardiovascular risk scoring and magnetic resonance imaging detected subclinical cerebrovascular disease |
title_sort | cardiovascular risk scoring and magnetic resonance imaging detected subclinical cerebrovascular disease |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7237958/ https://www.ncbi.nlm.nih.gov/pubmed/31565735 http://dx.doi.org/10.1093/ehjci/jez226 |
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