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Pre-existing atrial fibrillation is associated with increased mortality in COVID-19 Patients
PURPOSE: The impacts of pre-existing atrial fibrillation (AF) on COVID-19-associated outcomes are unclear. We conducted a systematic review and meta-analysis to investigate the pooled prevalence of pre-existing AF and its short-term mortality risk in COVID-19 patients. METHODS: Preferred Reporting I...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046494/ https://www.ncbi.nlm.nih.gov/pubmed/33855639 http://dx.doi.org/10.1007/s10840-021-00992-2 |
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author | Zuin, Marco Rigatelli, Gianluca Bilato, Claudio Zanon, Francesco Zuliani, Giovanni Roncon, Loris |
author_facet | Zuin, Marco Rigatelli, Gianluca Bilato, Claudio Zanon, Francesco Zuliani, Giovanni Roncon, Loris |
author_sort | Zuin, Marco |
collection | PubMed |
description | PURPOSE: The impacts of pre-existing atrial fibrillation (AF) on COVID-19-associated outcomes are unclear. We conducted a systematic review and meta-analysis to investigate the pooled prevalence of pre-existing AF and its short-term mortality risk in COVID-19 patients. METHODS: Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed in abstracting data and assessing validity. We searched MEDLINE and Scopus to locate all the articles published up to January 31, 2021, reporting data on pre-existing AF among COVID-19 survivors and non-survivors. The pooled prevalence of pre-existing AF was calculated using a random effects model and presenting the related 95% confidence interval (CI), while the mortality risk was estimated using the Mantel-Haenszel random effects models with odds ratio (OR) and related 95% CI. Statistical heterogeneity was measured using the Higgins I(2) statistic. RESULTS: Twelve studies, enrolling 15.562 COVID-19 patients (mean age 71.6 years), met the inclusion criteria and were included in the final analysis. The pooled prevalence of pre-existing AF was 11.0% of cases (95% CI: 7.8–15.2%, p < 0.0001) with high heterogeneity (I(2) = 95.2%). Pre-existing AF was associated with higher risk of short-term death (OR 2.22, 95% CI 1.47–3.36, p < 0.0001), with high heterogeneity (I(2) = 79.1%). CONCLUSION: Pre-existing AF is present in about 11% of COVID-19 cases but results associated with an increased risk of short-term mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10840-021-00992-2. |
format | Online Article Text |
id | pubmed-8046494 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-80464942021-04-15 Pre-existing atrial fibrillation is associated with increased mortality in COVID-19 Patients Zuin, Marco Rigatelli, Gianluca Bilato, Claudio Zanon, Francesco Zuliani, Giovanni Roncon, Loris J Interv Card Electrophysiol Reviews PURPOSE: The impacts of pre-existing atrial fibrillation (AF) on COVID-19-associated outcomes are unclear. We conducted a systematic review and meta-analysis to investigate the pooled prevalence of pre-existing AF and its short-term mortality risk in COVID-19 patients. METHODS: Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed in abstracting data and assessing validity. We searched MEDLINE and Scopus to locate all the articles published up to January 31, 2021, reporting data on pre-existing AF among COVID-19 survivors and non-survivors. The pooled prevalence of pre-existing AF was calculated using a random effects model and presenting the related 95% confidence interval (CI), while the mortality risk was estimated using the Mantel-Haenszel random effects models with odds ratio (OR) and related 95% CI. Statistical heterogeneity was measured using the Higgins I(2) statistic. RESULTS: Twelve studies, enrolling 15.562 COVID-19 patients (mean age 71.6 years), met the inclusion criteria and were included in the final analysis. The pooled prevalence of pre-existing AF was 11.0% of cases (95% CI: 7.8–15.2%, p < 0.0001) with high heterogeneity (I(2) = 95.2%). Pre-existing AF was associated with higher risk of short-term death (OR 2.22, 95% CI 1.47–3.36, p < 0.0001), with high heterogeneity (I(2) = 79.1%). CONCLUSION: Pre-existing AF is present in about 11% of COVID-19 cases but results associated with an increased risk of short-term mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10840-021-00992-2. Springer US 2021-04-15 2021 /pmc/articles/PMC8046494/ /pubmed/33855639 http://dx.doi.org/10.1007/s10840-021-00992-2 Text en © Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Reviews Zuin, Marco Rigatelli, Gianluca Bilato, Claudio Zanon, Francesco Zuliani, Giovanni Roncon, Loris Pre-existing atrial fibrillation is associated with increased mortality in COVID-19 Patients |
title | Pre-existing atrial fibrillation is associated with increased mortality in COVID-19 Patients |
title_full | Pre-existing atrial fibrillation is associated with increased mortality in COVID-19 Patients |
title_fullStr | Pre-existing atrial fibrillation is associated with increased mortality in COVID-19 Patients |
title_full_unstemmed | Pre-existing atrial fibrillation is associated with increased mortality in COVID-19 Patients |
title_short | Pre-existing atrial fibrillation is associated with increased mortality in COVID-19 Patients |
title_sort | pre-existing atrial fibrillation is associated with increased mortality in covid-19 patients |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046494/ https://www.ncbi.nlm.nih.gov/pubmed/33855639 http://dx.doi.org/10.1007/s10840-021-00992-2 |
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