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Association of diabetes with atrial fibrillation types: a systematic review and meta-analysis
BACKGROUND: Atrial fibrillation (AF) is a common arrhythmia classified as paroxysmal and non-paroxysmal. Non-paroxysmal AF is associated with an increased risk of complications. Diabetes contributes to AF initiation, yet its role in AF maintenance is unclear. We conducted a systematic review and met...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8653594/ https://www.ncbi.nlm.nih.gov/pubmed/34876114 http://dx.doi.org/10.1186/s12933-021-01423-2 |
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author | Alijla, Fadi Buttia, Chepkoech Reichlin, Tobias Razvi, Salman Minder, Beatrice Wilhelm, Matthias Muka, Taulant Franco, Oscar H. Bano, Arjola |
author_facet | Alijla, Fadi Buttia, Chepkoech Reichlin, Tobias Razvi, Salman Minder, Beatrice Wilhelm, Matthias Muka, Taulant Franco, Oscar H. Bano, Arjola |
author_sort | Alijla, Fadi |
collection | PubMed |
description | BACKGROUND: Atrial fibrillation (AF) is a common arrhythmia classified as paroxysmal and non-paroxysmal. Non-paroxysmal AF is associated with an increased risk of complications. Diabetes contributes to AF initiation, yet its role in AF maintenance is unclear. We conducted a systematic review and meta-analysis to summarize the evidence regarding the association of diabetes with AF types. METHODS: We searched 5 databases for observational studies investigating the association of diabetes with the likelihood of an AF type (vs another type) in humans. Study quality was evaluated using the Newcastle–Ottawa Scale. Studies classifying AF types as paroxysmal (reference) and non-paroxysmal were pooled in a meta-analysis using random effects models. RESULTS: Of 1997 articles we identified, 20 were included in our systematic review. The population sample size ranged from 64 to 9816 participants with mean age ranging from 40 to 75 years and percentage of women from 24.8 to 100%. The quality of studies varied from poor (60%) to fair (5%) to good (35%). In the systematic review, 8 studies among patients with AF investigated the cross-sectional association of diabetes with non-paroxysmal AF (vs paroxysmal) of which 6 showed a positive association and 2 showed no association. Fourteen studies investigated the longitudinal association of diabetes with “more sustained” AF types (vs “less sustained”) of which 2 showed a positive association and 12 showed no association. In the meta-analysis of cross-sectional studies, patients with AF and diabetes were 1.31-times more likely to have non-paroxysmal AF than those without diabetes [8 studies; pooled OR (95% CI), 1.31 (1.13–1.51), I(2) = 82.6%]. The meta-analysis of longitudinal studies showed that for patients with paroxysmal AF, diabetes is associated with 1.32-times increased likelihood of progression to non-paroxysmal AF [five studies; pooled OR (95% CI), 1.32 (1.07–1.62); I(2) = 0%]. CONCLUSIONS: Our findings suggest that diabetes is associated with an increased likelihood of non-paroxysmal AF rather than paroxysmal AF. However, further high quality studies are needed to replicate these findings, adjust for potential confounders, elucidate mechanisms linking diabetes to non-paroxysmal AF, and assess the impact of antidiabetic medications on AF types. These strategies could eventually help decrease the risk of non-paroxysmal AF among patients with diabetes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-021-01423-2. |
format | Online Article Text |
id | pubmed-8653594 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86535942021-12-08 Association of diabetes with atrial fibrillation types: a systematic review and meta-analysis Alijla, Fadi Buttia, Chepkoech Reichlin, Tobias Razvi, Salman Minder, Beatrice Wilhelm, Matthias Muka, Taulant Franco, Oscar H. Bano, Arjola Cardiovasc Diabetol Review BACKGROUND: Atrial fibrillation (AF) is a common arrhythmia classified as paroxysmal and non-paroxysmal. Non-paroxysmal AF is associated with an increased risk of complications. Diabetes contributes to AF initiation, yet its role in AF maintenance is unclear. We conducted a systematic review and meta-analysis to summarize the evidence regarding the association of diabetes with AF types. METHODS: We searched 5 databases for observational studies investigating the association of diabetes with the likelihood of an AF type (vs another type) in humans. Study quality was evaluated using the Newcastle–Ottawa Scale. Studies classifying AF types as paroxysmal (reference) and non-paroxysmal were pooled in a meta-analysis using random effects models. RESULTS: Of 1997 articles we identified, 20 were included in our systematic review. The population sample size ranged from 64 to 9816 participants with mean age ranging from 40 to 75 years and percentage of women from 24.8 to 100%. The quality of studies varied from poor (60%) to fair (5%) to good (35%). In the systematic review, 8 studies among patients with AF investigated the cross-sectional association of diabetes with non-paroxysmal AF (vs paroxysmal) of which 6 showed a positive association and 2 showed no association. Fourteen studies investigated the longitudinal association of diabetes with “more sustained” AF types (vs “less sustained”) of which 2 showed a positive association and 12 showed no association. In the meta-analysis of cross-sectional studies, patients with AF and diabetes were 1.31-times more likely to have non-paroxysmal AF than those without diabetes [8 studies; pooled OR (95% CI), 1.31 (1.13–1.51), I(2) = 82.6%]. The meta-analysis of longitudinal studies showed that for patients with paroxysmal AF, diabetes is associated with 1.32-times increased likelihood of progression to non-paroxysmal AF [five studies; pooled OR (95% CI), 1.32 (1.07–1.62); I(2) = 0%]. CONCLUSIONS: Our findings suggest that diabetes is associated with an increased likelihood of non-paroxysmal AF rather than paroxysmal AF. However, further high quality studies are needed to replicate these findings, adjust for potential confounders, elucidate mechanisms linking diabetes to non-paroxysmal AF, and assess the impact of antidiabetic medications on AF types. These strategies could eventually help decrease the risk of non-paroxysmal AF among patients with diabetes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-021-01423-2. BioMed Central 2021-12-07 /pmc/articles/PMC8653594/ /pubmed/34876114 http://dx.doi.org/10.1186/s12933-021-01423-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Alijla, Fadi Buttia, Chepkoech Reichlin, Tobias Razvi, Salman Minder, Beatrice Wilhelm, Matthias Muka, Taulant Franco, Oscar H. Bano, Arjola Association of diabetes with atrial fibrillation types: a systematic review and meta-analysis |
title | Association of diabetes with atrial fibrillation types: a systematic review and meta-analysis |
title_full | Association of diabetes with atrial fibrillation types: a systematic review and meta-analysis |
title_fullStr | Association of diabetes with atrial fibrillation types: a systematic review and meta-analysis |
title_full_unstemmed | Association of diabetes with atrial fibrillation types: a systematic review and meta-analysis |
title_short | Association of diabetes with atrial fibrillation types: a systematic review and meta-analysis |
title_sort | association of diabetes with atrial fibrillation types: a systematic review and meta-analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8653594/ https://www.ncbi.nlm.nih.gov/pubmed/34876114 http://dx.doi.org/10.1186/s12933-021-01423-2 |
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