Comparison of risk profiles for new-onset atrial fibrillation between patients aged <60 and ≥60 years
Atrial fibrillation (AF) has a heterogeneous pathophysiology according to individual patient characteristics. This study aimed to identify the effects of widely known risk factors on AF incidence according to age and to elucidate the clinical implications of these effects. We analyzed data from 501,...
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| Veröffentlicht in: | PloS one 2021-11, Vol.16 (11), p.e0258770 |
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| creator | Kim, In-Soo Choi, Yeon-Jik Choi, Eui-Young Min, Pil-Ki Yoon, Young Won Lee, Byoung Kwon Hong, Bum-Kee Rim, Se-Joong Kwon, Hyuck Moon Kim, Jong-Youn |
| description | Atrial fibrillation (AF) has a heterogeneous pathophysiology according to individual patient characteristics. This study aimed to identify the effects of widely known risk factors on AF incidence according to age and to elucidate the clinical implications of these effects.
We analyzed data from 501,668 subjects (≥18years old) without AF and valvular heart disease from the Korean National Health Insurance Service-National Sample Cohort. The total population was divided into two groups according to age, |
| doi_str_mv | 10.1371/journal.pone.0258770 |
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We analyzed data from 501,668 subjects (≥18years old) without AF and valvular heart disease from the Korean National Health Insurance Service-National Sample Cohort. The total population was divided into two groups according to age, <60years and ≥60years. AF occurred in 0.7% of the overall population (3,416 of 501,668) during the follow-up period (mean 47.6 months). In Cox regression analysis, age, male sex, previous ischemic stroke, heart failure, and hypertension were related to increased risk of new-onset AF in both age groups. Especially in the <60years age group, risk of new-onset AF was increased by relatively modifiable risk factors: obesity (body mass index ≥25kg/m2; hazard ratio[HR] 1.37 [1.22-1.55], p<0.001, interaction p<0.001), and hypertension (HR 1.93[1.69-2.22], p<0.001, interaction p<0.001). Although interactions were not significant, chronic obstructive pulmonary disease (HR 1.41[1.24-1.60], p<0.001) and chronic kidney disease (HR 1.28[1.15-1.41], p<0.001) showed increased trends of the risk of new-onset AF in the ≥60years age group.
The risk profile for new-onset AF was somewhat different between the <60years and the ≥60years age groups. Compared to the ≥60years group, relatively modifiable risk factors (such as obesity and hypertension) had a greater impact on AF incidence in the <60years age group. Different management strategies to prevent AF development according to age may be needed.]]></description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0258770</identifier><identifier>PMID: 34793457</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Age ; Age Factors ; Age of Onset ; Aged ; Aging ; Alcohol use ; Atrial fibrillation ; Atrial Fibrillation - complications ; Atrial Fibrillation - epidemiology ; Atrial Fibrillation - physiopathology ; Biology and Life Sciences ; Body mass ; Body Mass Index ; Body size ; Cardiac arrhythmia ; Cardiology ; Cardiovascular diseases ; Care and treatment ; Chronic obstructive pulmonary disease ; Congestive heart failure ; Coronary artery disease ; Diabetes ; Exercise ; Failure analysis ; Female ; Fibrillation ; Health aspects ; Health insurance ; Health risks ; Heart diseases ; Heart failure ; Heart Failure - complications ; Heart Failure - epidemiology ; Heart Failure - physiopathology ; Hospitals ; Humans ; Hypertension ; Hypertension - complications ; Hypertension - epidemiology ; Hypertension - physiopathology ; Ischemia ; Kidney diseases ; Lung diseases ; Male ; Medical schools ; Medicine ; Medicine and Health Sciences ; Middle Aged ; Mortality ; Obesity ; Obesity - complications ; Obesity - epidemiology ; Obesity - physiopathology ; Obstructive lung disease ; Patients ; Population ; Prostheses ; Pulmonary Disease, Chronic Obstructive - complications ; Pulmonary Disease, Chronic Obstructive - epidemiology ; Pulmonary Disease, Chronic Obstructive - physiopathology ; Regression analysis ; Renal Insufficiency, Chronic - complications ; Renal Insufficiency, Chronic - epidemiology ; Renal Insufficiency, Chronic - physiopathology ; Republic of Korea - epidemiology ; Risk analysis ; Risk assessment ; Risk Factors ; Stroke - complications ; Stroke - epidemiology ; Stroke - physiopathology ; Transient ischemic attack</subject><ispartof>PloS one, 2021-11, Vol.16 (11), p.e0258770</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Kim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Kim et al 2021 Kim et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c711t-b4c72d1731f346cc76b82be49aa88ac278581a998597218bb5182de072e1d9673</cites><orcidid>0000-0003-2801-5514 ; 0000-0001-7040-8771</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601466/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601466/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34793457$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Sciarra, Luigi</contributor><creatorcontrib>Kim, In-Soo</creatorcontrib><creatorcontrib>Choi, Yeon-Jik</creatorcontrib><creatorcontrib>Choi, Eui-Young</creatorcontrib><creatorcontrib>Min, Pil-Ki</creatorcontrib><creatorcontrib>Yoon, Young Won</creatorcontrib><creatorcontrib>Lee, Byoung Kwon</creatorcontrib><creatorcontrib>Hong, Bum-Kee</creatorcontrib><creatorcontrib>Rim, Se-Joong</creatorcontrib><creatorcontrib>Kwon, Hyuck Moon</creatorcontrib><creatorcontrib>Kim, Jong-Youn</creatorcontrib><title>Comparison of risk profiles for new-onset atrial fibrillation between patients aged <60 and ≥60 years</title><title>PloS one</title><addtitle>PLoS One</addtitle><description><![CDATA[Atrial fibrillation (AF) has a heterogeneous pathophysiology according to individual patient characteristics. This study aimed to identify the effects of widely known risk factors on AF incidence according to age and to elucidate the clinical implications of these effects.
We analyzed data from 501,668 subjects (≥18years old) without AF and valvular heart disease from the Korean National Health Insurance Service-National Sample Cohort. The total population was divided into two groups according to age, <60years and ≥60years. AF occurred in 0.7% of the overall population (3,416 of 501,668) during the follow-up period (mean 47.6 months). In Cox regression analysis, age, male sex, previous ischemic stroke, heart failure, and hypertension were related to increased risk of new-onset AF in both age groups. Especially in the <60years age group, risk of new-onset AF was increased by relatively modifiable risk factors: obesity (body mass index ≥25kg/m2; hazard ratio[HR] 1.37 [1.22-1.55], p<0.001, interaction p<0.001), and hypertension (HR 1.93[1.69-2.22], p<0.001, interaction p<0.001). Although interactions were not significant, chronic obstructive pulmonary disease (HR 1.41[1.24-1.60], p<0.001) and chronic kidney disease (HR 1.28[1.15-1.41], p<0.001) showed increased trends of the risk of new-onset AF in the ≥60years age group.
The risk profile for new-onset AF was somewhat different between the <60years and the ≥60years age groups. Compared to the ≥60years group, relatively modifiable risk factors (such as obesity and hypertension) had a greater impact on AF incidence in the <60years age group. Different management strategies to prevent AF development according to age may be needed.]]></description><subject>Adult</subject><subject>Age</subject><subject>Age Factors</subject><subject>Age of Onset</subject><subject>Aged</subject><subject>Aging</subject><subject>Alcohol use</subject><subject>Atrial fibrillation</subject><subject>Atrial Fibrillation - complications</subject><subject>Atrial Fibrillation - epidemiology</subject><subject>Atrial Fibrillation - physiopathology</subject><subject>Biology and Life Sciences</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Cardiac arrhythmia</subject><subject>Cardiology</subject><subject>Cardiovascular diseases</subject><subject>Care and treatment</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Congestive heart failure</subject><subject>Coronary artery disease</subject><subject>Diabetes</subject><subject>Exercise</subject><subject>Failure analysis</subject><subject>Female</subject><subject>Fibrillation</subject><subject>Health aspects</subject><subject>Health insurance</subject><subject>Health risks</subject><subject>Heart diseases</subject><subject>Heart failure</subject><subject>Heart Failure - complications</subject><subject>Heart Failure - epidemiology</subject><subject>Heart Failure - physiopathology</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypertension - complications</subject><subject>Hypertension - epidemiology</subject><subject>Hypertension - physiopathology</subject><subject>Ischemia</subject><subject>Kidney diseases</subject><subject>Lung diseases</subject><subject>Male</subject><subject>Medical schools</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Obesity</subject><subject>Obesity - complications</subject><subject>Obesity - epidemiology</subject><subject>Obesity - physiopathology</subject><subject>Obstructive lung disease</subject><subject>Patients</subject><subject>Population</subject><subject>Prostheses</subject><subject>Pulmonary Disease, Chronic Obstructive - complications</subject><subject>Pulmonary Disease, Chronic Obstructive - epidemiology</subject><subject>Pulmonary Disease, Chronic Obstructive - physiopathology</subject><subject>Regression analysis</subject><subject>Renal Insufficiency, Chronic - complications</subject><subject>Renal Insufficiency, Chronic - epidemiology</subject><subject>Renal Insufficiency, Chronic - physiopathology</subject><subject>Republic of Korea - epidemiology</subject><subject>Risk analysis</subject><subject>Risk assessment</subject><subject>Risk Factors</subject><subject>Stroke - complications</subject><subject>Stroke - epidemiology</subject><subject>Stroke - physiopathology</subject><subject>Transient ischemic attack</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk92K1DAUx4so7rr6BqIBQfRixiZp8wEiLIMfAwsLft2GND3tZOw03aR13UfwQXwxn8TU6S5T2QvJRU-a3_nn5J-cJHmM0yWmHL_ausG3ull2roVlSnLBeXonOcaSkgUjKb17EB8lD0LYpmlOBWP3kyOacUmznB8n9crtOu1tcC1yFYrBN9R5V9kGAqqcRy1cLlwboEe691Y3qLKFt02jextTCugvAVrUxSm0fUC6hhK9ZinSbYl-__wVoyvQPjxM7lW6CfBo-p4kX969_bz6sDg7f79enZ4tDMe4XxSZ4aTEnOKKZswYzgpBCsik1kJoQ7jIBdZSilxygkVR5FiQElJOAJeScXqSPN3rdo0LavIoKJJLmeYZoSIS6z1ROr1Vnbc77a-U01b9_eF8rbTvrWlAUVZqUkowssoy0KWgKWckN6zkJhYmo9ababeh2EFpogVeNzPR-UprN6p235VgKc4YiwIvJgHvLgYIvdrZYCDa24Ib9nVjQbnEEX32D3r76Saq1vEAtq1c3NeMouqUxfqzXIhRa3kLFUcJO2vigxrvf57wcpYQmR5-9LUeQlDrTx__nz3_OmefH7Ab0E2_Ca4ZxscV5mC2B413IXiobkzGqRr74doNNfaDmvohpj05vKCbpOsGoH8ArGwFbw</recordid><startdate>20211118</startdate><enddate>20211118</enddate><creator>Kim, In-Soo</creator><creator>Choi, Yeon-Jik</creator><creator>Choi, Eui-Young</creator><creator>Min, Pil-Ki</creator><creator>Yoon, Young Won</creator><creator>Lee, Byoung Kwon</creator><creator>Hong, Bum-Kee</creator><creator>Rim, Se-Joong</creator><creator>Kwon, Hyuck Moon</creator><creator>Kim, Jong-Youn</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-2801-5514</orcidid><orcidid>https://orcid.org/0000-0001-7040-8771</orcidid></search><sort><creationdate>20211118</creationdate><title>Comparison of risk profiles for new-onset atrial fibrillation between patients aged <60 and ≥60 years</title><author>Kim, In-Soo ; Choi, Yeon-Jik ; Choi, Eui-Young ; Min, Pil-Ki ; Yoon, Young Won ; Lee, Byoung Kwon ; Hong, Bum-Kee ; Rim, Se-Joong ; Kwon, Hyuck Moon ; Kim, Jong-Youn</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c711t-b4c72d1731f346cc76b82be49aa88ac278581a998597218bb5182de072e1d9673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Age</topic><topic>Age Factors</topic><topic>Age of Onset</topic><topic>Aged</topic><topic>Aging</topic><topic>Alcohol use</topic><topic>Atrial fibrillation</topic><topic>Atrial Fibrillation - complications</topic><topic>Atrial Fibrillation - epidemiology</topic><topic>Atrial Fibrillation - physiopathology</topic><topic>Biology and Life Sciences</topic><topic>Body mass</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>Cardiac arrhythmia</topic><topic>Cardiology</topic><topic>Cardiovascular diseases</topic><topic>Care and treatment</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Congestive heart failure</topic><topic>Coronary artery disease</topic><topic>Diabetes</topic><topic>Exercise</topic><topic>Failure analysis</topic><topic>Female</topic><topic>Fibrillation</topic><topic>Health aspects</topic><topic>Health insurance</topic><topic>Health risks</topic><topic>Heart diseases</topic><topic>Heart failure</topic><topic>Heart Failure - complications</topic><topic>Heart Failure - epidemiology</topic><topic>Heart Failure - physiopathology</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Hypertension - complications</topic><topic>Hypertension - epidemiology</topic><topic>Hypertension - physiopathology</topic><topic>Ischemia</topic><topic>Kidney diseases</topic><topic>Lung diseases</topic><topic>Male</topic><topic>Medical schools</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Obesity</topic><topic>Obesity - complications</topic><topic>Obesity - epidemiology</topic><topic>Obesity - physiopathology</topic><topic>Obstructive lung disease</topic><topic>Patients</topic><topic>Population</topic><topic>Prostheses</topic><topic>Pulmonary Disease, Chronic Obstructive - complications</topic><topic>Pulmonary Disease, Chronic Obstructive - epidemiology</topic><topic>Pulmonary Disease, Chronic Obstructive - physiopathology</topic><topic>Regression analysis</topic><topic>Renal Insufficiency, Chronic - complications</topic><topic>Renal Insufficiency, Chronic - epidemiology</topic><topic>Renal Insufficiency, Chronic - physiopathology</topic><topic>Republic of Korea - epidemiology</topic><topic>Risk analysis</topic><topic>Risk assessment</topic><topic>Risk Factors</topic><topic>Stroke - complications</topic><topic>Stroke - epidemiology</topic><topic>Stroke - physiopathology</topic><topic>Transient ischemic attack</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, In-Soo</creatorcontrib><creatorcontrib>Choi, Yeon-Jik</creatorcontrib><creatorcontrib>Choi, Eui-Young</creatorcontrib><creatorcontrib>Min, Pil-Ki</creatorcontrib><creatorcontrib>Yoon, Young Won</creatorcontrib><creatorcontrib>Lee, Byoung Kwon</creatorcontrib><creatorcontrib>Hong, Bum-Kee</creatorcontrib><creatorcontrib>Rim, Se-Joong</creatorcontrib><creatorcontrib>Kwon, Hyuck Moon</creatorcontrib><creatorcontrib>Kim, Jong-Youn</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, In-Soo</au><au>Choi, Yeon-Jik</au><au>Choi, Eui-Young</au><au>Min, Pil-Ki</au><au>Yoon, Young Won</au><au>Lee, Byoung Kwon</au><au>Hong, Bum-Kee</au><au>Rim, Se-Joong</au><au>Kwon, Hyuck Moon</au><au>Kim, Jong-Youn</au><au>Sciarra, Luigi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of risk profiles for new-onset atrial fibrillation between patients aged <60 and ≥60 years</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-11-18</date><risdate>2021</risdate><volume>16</volume><issue>11</issue><spage>e0258770</spage><pages>e0258770-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract><![CDATA[Atrial fibrillation (AF) has a heterogeneous pathophysiology according to individual patient characteristics. This study aimed to identify the effects of widely known risk factors on AF incidence according to age and to elucidate the clinical implications of these effects.
We analyzed data from 501,668 subjects (≥18years old) without AF and valvular heart disease from the Korean National Health Insurance Service-National Sample Cohort. The total population was divided into two groups according to age, <60years and ≥60years. AF occurred in 0.7% of the overall population (3,416 of 501,668) during the follow-up period (mean 47.6 months). In Cox regression analysis, age, male sex, previous ischemic stroke, heart failure, and hypertension were related to increased risk of new-onset AF in both age groups. Especially in the <60years age group, risk of new-onset AF was increased by relatively modifiable risk factors: obesity (body mass index ≥25kg/m2; hazard ratio[HR] 1.37 [1.22-1.55], p<0.001, interaction p<0.001), and hypertension (HR 1.93[1.69-2.22], p<0.001, interaction p<0.001). Although interactions were not significant, chronic obstructive pulmonary disease (HR 1.41[1.24-1.60], p<0.001) and chronic kidney disease (HR 1.28[1.15-1.41], p<0.001) showed increased trends of the risk of new-onset AF in the ≥60years age group.
The risk profile for new-onset AF was somewhat different between the <60years and the ≥60years age groups. Compared to the ≥60years group, relatively modifiable risk factors (such as obesity and hypertension) had a greater impact on AF incidence in the <60years age group. Different management strategies to prevent AF development according to age may be needed.]]></abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>34793457</pmid><doi>10.1371/journal.pone.0258770</doi><tpages>e0258770</tpages><orcidid>https://orcid.org/0000-0003-2801-5514</orcidid><orcidid>https://orcid.org/0000-0001-7040-8771</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2021-11, Vol.16 (11), p.e0258770 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2599054238 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adult Age Age Factors Age of Onset Aged Aging Alcohol use Atrial fibrillation Atrial Fibrillation - complications Atrial Fibrillation - epidemiology Atrial Fibrillation - physiopathology Biology and Life Sciences Body mass Body Mass Index Body size Cardiac arrhythmia Cardiology Cardiovascular diseases Care and treatment Chronic obstructive pulmonary disease Congestive heart failure Coronary artery disease Diabetes Exercise Failure analysis Female Fibrillation Health aspects Health insurance Health risks Heart diseases Heart failure Heart Failure - complications Heart Failure - epidemiology Heart Failure - physiopathology Hospitals Humans Hypertension Hypertension - complications Hypertension - epidemiology Hypertension - physiopathology Ischemia Kidney diseases Lung diseases Male Medical schools Medicine Medicine and Health Sciences Middle Aged Mortality Obesity Obesity - complications Obesity - epidemiology Obesity - physiopathology Obstructive lung disease Patients Population Prostheses Pulmonary Disease, Chronic Obstructive - complications Pulmonary Disease, Chronic Obstructive - epidemiology Pulmonary Disease, Chronic Obstructive - physiopathology Regression analysis Renal Insufficiency, Chronic - complications Renal Insufficiency, Chronic - epidemiology Renal Insufficiency, Chronic - physiopathology Republic of Korea - epidemiology Risk analysis Risk assessment Risk Factors Stroke - complications Stroke - epidemiology Stroke - physiopathology Transient ischemic attack |
| title | Comparison of risk profiles for new-onset atrial fibrillation between patients aged <60 and ≥60 years |
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