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Prevalence and incidence of stroke, white matter hyperintensities, and silent brain infarcts in patients with chronic heart failure: A systematic review, meta-analysis, and meta-regression
INTRODUCTION: Heart failure (HF) is associated with ischemic stroke (IS). However, there are limited studies on the prevalence of IS, white matter hyperintensities (WMHs), and silent brain infarcts (SBIs). Furthermore, interaction with ejection fraction (EF) is unclear. METHODS: We searched three da...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520068/ https://www.ncbi.nlm.nih.gov/pubmed/36186994 http://dx.doi.org/10.3389/fcvm.2022.967197 |
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author | Tan, Sean Ho, Clare Elisabeth Si Min Teo, Yao Neng Teo, Yao Hao Chan, Mark Yan-Yee Lee, Chi-Hang Evangelista, Lauren Kay Mance Lin, Weiqin Chong, Yao-Feng Yeo, Tiong-Cheng Sharma, Vijay Kumar Wong, Raymond C. C. Tan, Benjamin Y. Q. Yeo, Leonard L. L. Chai, Ping Sia, Ching-Hui |
author_facet | Tan, Sean Ho, Clare Elisabeth Si Min Teo, Yao Neng Teo, Yao Hao Chan, Mark Yan-Yee Lee, Chi-Hang Evangelista, Lauren Kay Mance Lin, Weiqin Chong, Yao-Feng Yeo, Tiong-Cheng Sharma, Vijay Kumar Wong, Raymond C. C. Tan, Benjamin Y. Q. Yeo, Leonard L. L. Chai, Ping Sia, Ching-Hui |
author_sort | Tan, Sean |
collection | PubMed |
description | INTRODUCTION: Heart failure (HF) is associated with ischemic stroke (IS). However, there are limited studies on the prevalence of IS, white matter hyperintensities (WMHs), and silent brain infarcts (SBIs). Furthermore, interaction with ejection fraction (EF) is unclear. METHODS: We searched three databases (viz., PubMed, Embase, and Cochrane) for studies reporting the incidence or prevalence of IS, WMHs, and SBIs in HF. A total of two authors independently selected included studies. We used random-effects models, and heterogeneity was evaluated with I(2) statistic. Meta-regression was used for subgroup analysis. RESULTS: In total, 41 articles involving 870,002 patients were retrieved from 15,267 records. Among patients with HF, the pooled proportion of IS was 4.06% (95% CI: 2.94–5.59), and that of WMHs and SBIs was higher at 15.67% (95% CI: 4.11–44.63) and 23.45% (95% CI: 14.53–35.58), respectively. Subgroup analysis of HFpEF and HFrEF revealed a pooled prevalence of 2.97% (95% CI: 2.01–4.39) and 3.69% (95% CI: 2.34–5.77), respectively. Subgroup analysis of WMH Fazekas scores 1, 2, and 3 revealed a decreasing trend from 60.57 % (95% CI: 35.13–81.33) to 11.57% (95% CI: 10.40–12.85) to 3.07% (95% CI: 0.95–9.47). The relative risk and hazard ratio of patients with HF developing IS were 2.29 (95% CI: 1.43–3.68) and 1.63 (95% CI: 1.22–2.18), respectively. Meta-regression showed IS prevalence was positively correlated with decreasing anticoagulant usage. CONCLUSION: We obtained estimates for the prevalence of IS, WMH, and SBI in HF from systematic review of the literature. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=255126, PROSPERO [CRD42021255126]. |
format | Online Article Text |
id | pubmed-9520068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95200682022-09-30 Prevalence and incidence of stroke, white matter hyperintensities, and silent brain infarcts in patients with chronic heart failure: A systematic review, meta-analysis, and meta-regression Tan, Sean Ho, Clare Elisabeth Si Min Teo, Yao Neng Teo, Yao Hao Chan, Mark Yan-Yee Lee, Chi-Hang Evangelista, Lauren Kay Mance Lin, Weiqin Chong, Yao-Feng Yeo, Tiong-Cheng Sharma, Vijay Kumar Wong, Raymond C. C. Tan, Benjamin Y. Q. Yeo, Leonard L. L. Chai, Ping Sia, Ching-Hui Front Cardiovasc Med Cardiovascular Medicine INTRODUCTION: Heart failure (HF) is associated with ischemic stroke (IS). However, there are limited studies on the prevalence of IS, white matter hyperintensities (WMHs), and silent brain infarcts (SBIs). Furthermore, interaction with ejection fraction (EF) is unclear. METHODS: We searched three databases (viz., PubMed, Embase, and Cochrane) for studies reporting the incidence or prevalence of IS, WMHs, and SBIs in HF. A total of two authors independently selected included studies. We used random-effects models, and heterogeneity was evaluated with I(2) statistic. Meta-regression was used for subgroup analysis. RESULTS: In total, 41 articles involving 870,002 patients were retrieved from 15,267 records. Among patients with HF, the pooled proportion of IS was 4.06% (95% CI: 2.94–5.59), and that of WMHs and SBIs was higher at 15.67% (95% CI: 4.11–44.63) and 23.45% (95% CI: 14.53–35.58), respectively. Subgroup analysis of HFpEF and HFrEF revealed a pooled prevalence of 2.97% (95% CI: 2.01–4.39) and 3.69% (95% CI: 2.34–5.77), respectively. Subgroup analysis of WMH Fazekas scores 1, 2, and 3 revealed a decreasing trend from 60.57 % (95% CI: 35.13–81.33) to 11.57% (95% CI: 10.40–12.85) to 3.07% (95% CI: 0.95–9.47). The relative risk and hazard ratio of patients with HF developing IS were 2.29 (95% CI: 1.43–3.68) and 1.63 (95% CI: 1.22–2.18), respectively. Meta-regression showed IS prevalence was positively correlated with decreasing anticoagulant usage. CONCLUSION: We obtained estimates for the prevalence of IS, WMH, and SBI in HF from systematic review of the literature. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=255126, PROSPERO [CRD42021255126]. Frontiers Media S.A. 2022-09-15 /pmc/articles/PMC9520068/ /pubmed/36186994 http://dx.doi.org/10.3389/fcvm.2022.967197 Text en Copyright © 2022 Tan, Ho, Teo, Teo, Chan, Lee, Evangelista, Lin, Chong, Yeo, Sharma, Wong, Tan, Yeo, Chai and Sia. https://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 | Cardiovascular Medicine Tan, Sean Ho, Clare Elisabeth Si Min Teo, Yao Neng Teo, Yao Hao Chan, Mark Yan-Yee Lee, Chi-Hang Evangelista, Lauren Kay Mance Lin, Weiqin Chong, Yao-Feng Yeo, Tiong-Cheng Sharma, Vijay Kumar Wong, Raymond C. C. Tan, Benjamin Y. Q. Yeo, Leonard L. L. Chai, Ping Sia, Ching-Hui Prevalence and incidence of stroke, white matter hyperintensities, and silent brain infarcts in patients with chronic heart failure: A systematic review, meta-analysis, and meta-regression |
title | Prevalence and incidence of stroke, white matter hyperintensities, and silent brain infarcts in patients with chronic heart failure: A systematic review, meta-analysis, and meta-regression |
title_full | Prevalence and incidence of stroke, white matter hyperintensities, and silent brain infarcts in patients with chronic heart failure: A systematic review, meta-analysis, and meta-regression |
title_fullStr | Prevalence and incidence of stroke, white matter hyperintensities, and silent brain infarcts in patients with chronic heart failure: A systematic review, meta-analysis, and meta-regression |
title_full_unstemmed | Prevalence and incidence of stroke, white matter hyperintensities, and silent brain infarcts in patients with chronic heart failure: A systematic review, meta-analysis, and meta-regression |
title_short | Prevalence and incidence of stroke, white matter hyperintensities, and silent brain infarcts in patients with chronic heart failure: A systematic review, meta-analysis, and meta-regression |
title_sort | prevalence and incidence of stroke, white matter hyperintensities, and silent brain infarcts in patients with chronic heart failure: a systematic review, meta-analysis, and meta-regression |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520068/ https://www.ncbi.nlm.nih.gov/pubmed/36186994 http://dx.doi.org/10.3389/fcvm.2022.967197 |
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