Persistent Asthma Is Associated With Increased Risk for Incident Atrial Fibrillation in the MESA Article Swipe
Matthew C. Tattersall
,
Alison Dasiewicz
,
Robyn L. McClelland
,
Adam D. Gepner
,
Matthew M. Kalscheur
,
Michael E. Field
,
Susan R. Heckbert
,
Mohamed H. Hamdan
,
James H. Stein
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1161/circep.119.007685
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1161/circep.119.007685
Background: Asthma and atrial fibrillation (AF) share an underlying inflammatory pathophysiology. We hypothesized that persistent asthmatics are at higher risk for developing AF and that this association would be attenuated by adjustment for baseline markers of systemic inflammation. Methods: The MESA (Multi-Ethnic Study of Atherosclerosis) is a prospective longitudinal study of adults free of cardiovascular disease at baseline. Presence of asthma was determined at exam 1. Persistent asthma was defined as asthma requiring use of controller medications. Intermittent asthma was defined as asthma without use of controller medications. Participants were followed for a median of 12.9 (interquartile range, 10–13.6) years for incident AF. Multivariable Cox regression models were used to assess associations of asthma subtype and AF. Results: The 6615 participants were a mean (SD) 62.0 (10.2) years old (47% male, 27% black, 12% Chinese, and 22% Hispanic). AF incidence rates were 0.11 (95% CI, 0.01–0.12) events/10 person-years for nonasthmatics, 0.11 (95% CI, 0.08–0.14) events/10 person-years for intermittent asthmatics, and 0.19 (95% CI, 0.120.49) events/10 person-years for persistent asthmatics (log-rank P =0.008). In risk-factor adjusted models, persistent asthmatics had a greater risk of incident AF (hazard ratio, 1.49 [95% CI, 1.03–2.14], P =0.03). IL (Interleukin)-6 (hazard ratio, 1.26 [95% CI, 1.13–1.42]), TNF (tumor necrosis factor)-α receptor 1 (hazard ratio, 1.09 [95% CI, 1.08–1.11]) and D-dimer (hazard ratio, 1.10 [95% CI, 1.02–1.20]) predicted incident AF, but the relationship between asthma and incident AF was not attenuated by adjustment for any inflammation marker (IL-6, CRP [C-reactive protein], TNF-α R1, D-dimer, and fibrinogen). Conclusions: In a large multiethnic cohort with nearly 13 years follow-up, persistent asthma was associated with increased risk for incident AF. This association was not attenuated by adjustment for baseline inflammatory biomarkers.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1161/circep.119.007685
- https://www.ahajournals.org/doi/pdf/10.1161/CIRCEP.119.007685
- OA Status
- bronze
- Cited By
- 30
- References
- 51
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3005166431
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3005166431Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1161/circep.119.007685Digital Object Identifier
- Title
-
Persistent Asthma Is Associated With Increased Risk for Incident Atrial Fibrillation in the MESAWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-02-01Full publication date if available
- Authors
-
Matthew C. Tattersall, Alison Dasiewicz, Robyn L. McClelland, Adam D. Gepner, Matthew M. Kalscheur, Michael E. Field, Susan R. Heckbert, Mohamed H. Hamdan, James H. SteinList of authors in order
- Landing page
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https://doi.org/10.1161/circep.119.007685Publisher landing page
- PDF URL
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https://www.ahajournals.org/doi/pdf/10.1161/CIRCEP.119.007685Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
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https://www.ahajournals.org/doi/pdf/10.1161/CIRCEP.119.007685Direct OA link when available
- Concepts
-
Medicine, Asthma, Hazard ratio, Interquartile range, Atrial fibrillation, Internal medicine, Proportional hazards model, Risk factor, Prospective cohort study, Cardiology, Confidence intervalTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
30Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 6, 2023: 10, 2022: 9, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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51Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.higher | 18 |
| abstract_inverted_index.marker | 240 |
| abstract_inverted_index.median | 93 |
| abstract_inverted_index.models | 106 |
| abstract_inverted_index.nearly | 257 |
| abstract_inverted_index.range, | 97 |
| abstract_inverted_index.ratio, | 186, 196, 208, 216 |
| abstract_inverted_index.(hazard | 185, 195, 207, 215 |
| abstract_inverted_index.=0.03). | 192 |
| abstract_inverted_index.D-dimer | 214 |
| abstract_inverted_index.between | 227 |
| abstract_inverted_index.defined | 69, 80 |
| abstract_inverted_index.disease | 55 |
| abstract_inverted_index.greater | 180 |
| abstract_inverted_index.markers | 34 |
| abstract_inverted_index.models, | 175 |
| abstract_inverted_index.subtype | 114 |
| abstract_inverted_index.without | 83 |
| abstract_inverted_index.=0.008). | 171 |
| abstract_inverted_index.Chinese, | 134 |
| abstract_inverted_index.D-dimer, | 247 |
| abstract_inverted_index.Methods: | 38 |
| abstract_inverted_index.Presence | 58 |
| abstract_inverted_index.Results: | 117 |
| abstract_inverted_index.adjusted | 174 |
| abstract_inverted_index.baseline | 33, 279 |
| abstract_inverted_index.followed | 90 |
| abstract_inverted_index.incident | 101, 183, 222, 230, 269 |
| abstract_inverted_index.necrosis | 203 |
| abstract_inverted_index.receptor | 205 |
| abstract_inverted_index.systemic | 36 |
| abstract_inverted_index.(log-rank | 169 |
| abstract_inverted_index.0.120.49) | 163 |
| abstract_inverted_index.baseline. | 57 |
| abstract_inverted_index.events/10 | 146, 154, 164 |
| abstract_inverted_index.incidence | 139 |
| abstract_inverted_index.increased | 266 |
| abstract_inverted_index.predicted | 221 |
| abstract_inverted_index.protein], | 244 |
| abstract_inverted_index.requiring | 72 |
| abstract_inverted_index.10–13.6) | 98 |
| abstract_inverted_index.Hispanic). | 137 |
| abstract_inverted_index.Persistent | 66 |
| abstract_inverted_index.adjustment | 31, 236, 277 |
| abstract_inverted_index.associated | 264 |
| abstract_inverted_index.asthmatics | 15, 168, 177 |
| abstract_inverted_index.attenuated | 29, 234, 275 |
| abstract_inverted_index.controller | 75, 86 |
| abstract_inverted_index.determined | 62 |
| abstract_inverted_index.developing | 21 |
| abstract_inverted_index.factor)-α | 204 |
| abstract_inverted_index.follow-up, | 260 |
| abstract_inverted_index.persistent | 14, 167, 176, 261 |
| abstract_inverted_index.regression | 105 |
| abstract_inverted_index.underlying | 8 |
| abstract_inverted_index.Background: | 0 |
| abstract_inverted_index.[C-reactive | 243 |
| abstract_inverted_index.association | 26, 272 |
| abstract_inverted_index.asthmatics, | 158 |
| abstract_inverted_index.biomarkers. | 281 |
| abstract_inverted_index.multiethnic | 254 |
| abstract_inverted_index.prospective | 47 |
| abstract_inverted_index.risk-factor | 173 |
| abstract_inverted_index.0.01–0.12) | 145 |
| abstract_inverted_index.0.08–0.14) | 153 |
| abstract_inverted_index.Conclusions: | 250 |
| abstract_inverted_index.Intermittent | 77 |
| abstract_inverted_index.Participants | 88 |
| abstract_inverted_index.associations | 111 |
| abstract_inverted_index.fibrillation | 4 |
| abstract_inverted_index.fibrinogen). | 249 |
| abstract_inverted_index.hypothesized | 12 |
| abstract_inverted_index.inflammation | 239 |
| abstract_inverted_index.inflammatory | 9, 280 |
| abstract_inverted_index.intermittent | 157 |
| abstract_inverted_index.longitudinal | 48 |
| abstract_inverted_index.medications. | 76, 87 |
| abstract_inverted_index.participants | 120 |
| abstract_inverted_index.person-years | 147, 155, 165 |
| abstract_inverted_index.relationship | 226 |
| abstract_inverted_index.(Multi-Ethnic | 41 |
| abstract_inverted_index.1.02–1.20]) | 220 |
| abstract_inverted_index.1.03–2.14], | 190 |
| abstract_inverted_index.1.08–1.11]) | 212 |
| abstract_inverted_index.Multivariable | 103 |
| abstract_inverted_index.inflammation. | 37 |
| abstract_inverted_index.(interquartile | 96 |
| abstract_inverted_index.1.13–1.42]), | 200 |
| abstract_inverted_index.cardiovascular | 54 |
| abstract_inverted_index.nonasthmatics, | 149 |
| abstract_inverted_index.(Interleukin)-6 | 194 |
| abstract_inverted_index.Atherosclerosis) | 44 |
| abstract_inverted_index.pathophysiology. | 10 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8700000047683716 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.93727966 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |