Non-pulmonary vein mediated atrial fibrillation: A novel sub-phenotype

Atrial fibrillation (AF) is a mechanistically heterogeneous disorder, and the ability to identify sub-phenotypes ("endophenotypes") of AF would assist in the delivery of personalized medicine. We used the clinical response to pulmonary vein isolation (PVI) to identify a sub-group of patien...

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Veröffentlicht in:PloS one 2017-09, Vol.12 (9), p.e0184354-e0184354
Hauptverfasser: Farrell, Maureen, Yoneda, Zachary, Montgomery, Jay, Crawford, Diane, Wray, Lauren Lee, Xu, Meng, Kolek, Matthew J, Richardson, Travis, Lugo, Ricardo, Metawee, Mohamed, Michaud, Greg, Estrada, Juan Carlos, Saavedra, Pablo, Shen, Sharon, Kanagasundram, Arvindh, Ellis, Christopher R, Crossley, George, Roden, Dan, Shoemaker, M Benjamin
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container_issue 9
container_start_page e0184354
container_title PloS one
container_volume 12
creator Farrell, Maureen
Yoneda, Zachary
Montgomery, Jay
Crawford, Diane
Wray, Lauren Lee
Xu, Meng
Kolek, Matthew J
Richardson, Travis
Lugo, Ricardo
Metawee, Mohamed
Michaud, Greg
Estrada, Juan Carlos
Saavedra, Pablo
Shen, Sharon
Kanagasundram, Arvindh
Ellis, Christopher R
Crossley, George
Roden, Dan
Shoemaker, M Benjamin
description Atrial fibrillation (AF) is a mechanistically heterogeneous disorder, and the ability to identify sub-phenotypes ("endophenotypes") of AF would assist in the delivery of personalized medicine. We used the clinical response to pulmonary vein isolation (PVI) to identify a sub-group of patients with non-PV mediated AF and sought to define the clinical associations. Subjects enrolled in the Vanderbilt AF Ablation Registry who underwent a repeat AF ablation due to arrhythmia recurrence were analyzed on the basis of PV reconnection. Subjects who had no PV reconnection were defined as "non-PV mediated AF". A comparison group of subjects were identified who had AF that was treated with PVI-only and experienced no arrhythmia recurrence >12 months. They were considered a group enriched for "PV-mediated AF". Univariate and multivariable binary logistic regression analysis was performed to investigate clinical associations between the PV and non-PV mediated AF groups. Two hundred and twenty nine subjects underwent repeat AF ablation and thirty three (14%) had no PV reconnection. They were compared with 91 subjects identified as having PV-mediated AF. Subjects with non-PV mediated AF were older (64 years [IQR 60,71] vs. 60 [52,67], P = 0.01), more likely to have non-paroxysmal AF (82% [N = 27] vs. 35% [N = 32], P
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We used the clinical response to pulmonary vein isolation (PVI) to identify a sub-group of patients with non-PV mediated AF and sought to define the clinical associations. Subjects enrolled in the Vanderbilt AF Ablation Registry who underwent a repeat AF ablation due to arrhythmia recurrence were analyzed on the basis of PV reconnection. Subjects who had no PV reconnection were defined as "non-PV mediated AF". A comparison group of subjects were identified who had AF that was treated with PVI-only and experienced no arrhythmia recurrence &gt;12 months. They were considered a group enriched for "PV-mediated AF". Univariate and multivariable binary logistic regression analysis was performed to investigate clinical associations between the PV and non-PV mediated AF groups. Two hundred and twenty nine subjects underwent repeat AF ablation and thirty three (14%) had no PV reconnection. They were compared with 91 subjects identified as having PV-mediated AF. Subjects with non-PV mediated AF were older (64 years [IQR 60,71] vs. 60 [52,67], P = 0.01), more likely to have non-paroxysmal AF (82% [N = 27] vs. 35% [N = 32], P&lt;0.001), and had a larger left atrium (LA) (4.2cm [3.6,4.8] vs. 4.0 [3.3,4.4], P = 0.04). In univariate analysis, age (per decade: OR 1.56 [95% CI: 1.04 to 2.33], P = 0.03), LA size (per cm: OR 1.8 [1.06 to 3.21], P = 0.03) and non-paroxysmal AF (OR 8.3 [3.10 to 22.19], P&lt;0.001) were all significantly associated with non-PV mediated AF. However, in multivariable analysis only non-paroxysmal AF was independently associated with non-PV mediated AF (OR 7.47 [95% CI 2.62 to 21.29], P&lt;0.001), when adjusted for age (per decade: OR 1.25 [0.81 to 1.94], P = 0.31), male gender (OR 0.48 [0.18 to 1.28], P = 0.14), and LA size (per 1cm: 1.24 [0.65 to 2.33], P = 0.52). Non-paroxysmal AF was the only clinical variable found to be independently associated with non-PV mediated AF. We demonstrated that analysis of AF ablation outcomes data can serve as a tool to successfully identify a sub-phenotype of subjects who have non-PV mediated AF. 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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>2017 Farrell et al 2017 Farrell et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-3c9eb0f51e92f06e04ce94a2e291f076c8e15afd43a4db4477913f01b5754a693</citedby><orcidid>0000-0001-6824-7155</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/PMC5589236/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589236/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,2915,23847,27905,27906,53772,53774,79349,79350</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28880943$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Bishopric, Nanette H</contributor><creatorcontrib>Farrell, Maureen</creatorcontrib><creatorcontrib>Yoneda, Zachary</creatorcontrib><creatorcontrib>Montgomery, Jay</creatorcontrib><creatorcontrib>Crawford, Diane</creatorcontrib><creatorcontrib>Wray, Lauren Lee</creatorcontrib><creatorcontrib>Xu, Meng</creatorcontrib><creatorcontrib>Kolek, Matthew J</creatorcontrib><creatorcontrib>Richardson, Travis</creatorcontrib><creatorcontrib>Lugo, Ricardo</creatorcontrib><creatorcontrib>Metawee, Mohamed</creatorcontrib><creatorcontrib>Michaud, Greg</creatorcontrib><creatorcontrib>Estrada, Juan Carlos</creatorcontrib><creatorcontrib>Saavedra, Pablo</creatorcontrib><creatorcontrib>Shen, Sharon</creatorcontrib><creatorcontrib>Kanagasundram, Arvindh</creatorcontrib><creatorcontrib>Ellis, Christopher R</creatorcontrib><creatorcontrib>Crossley, George</creatorcontrib><creatorcontrib>Roden, Dan</creatorcontrib><creatorcontrib>Shoemaker, M Benjamin</creatorcontrib><title>Non-pulmonary vein mediated atrial fibrillation: A novel sub-phenotype</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Atrial fibrillation (AF) is a mechanistically heterogeneous disorder, and the ability to identify sub-phenotypes ("endophenotypes") of AF would assist in the delivery of personalized medicine. We used the clinical response to pulmonary vein isolation (PVI) to identify a sub-group of patients with non-PV mediated AF and sought to define the clinical associations. Subjects enrolled in the Vanderbilt AF Ablation Registry who underwent a repeat AF ablation due to arrhythmia recurrence were analyzed on the basis of PV reconnection. Subjects who had no PV reconnection were defined as "non-PV mediated AF". A comparison group of subjects were identified who had AF that was treated with PVI-only and experienced no arrhythmia recurrence &gt;12 months. They were considered a group enriched for "PV-mediated AF". Univariate and multivariable binary logistic regression analysis was performed to investigate clinical associations between the PV and non-PV mediated AF groups. Two hundred and twenty nine subjects underwent repeat AF ablation and thirty three (14%) had no PV reconnection. They were compared with 91 subjects identified as having PV-mediated AF. Subjects with non-PV mediated AF were older (64 years [IQR 60,71] vs. 60 [52,67], P = 0.01), more likely to have non-paroxysmal AF (82% [N = 27] vs. 35% [N = 32], P&lt;0.001), and had a larger left atrium (LA) (4.2cm [3.6,4.8] vs. 4.0 [3.3,4.4], P = 0.04). In univariate analysis, age (per decade: OR 1.56 [95% CI: 1.04 to 2.33], P = 0.03), LA size (per cm: OR 1.8 [1.06 to 3.21], P = 0.03) and non-paroxysmal AF (OR 8.3 [3.10 to 22.19], P&lt;0.001) were all significantly associated with non-PV mediated AF. However, in multivariable analysis only non-paroxysmal AF was independently associated with non-PV mediated AF (OR 7.47 [95% CI 2.62 to 21.29], P&lt;0.001), when adjusted for age (per decade: OR 1.25 [0.81 to 1.94], P = 0.31), male gender (OR 0.48 [0.18 to 1.28], P = 0.14), and LA size (per 1cm: 1.24 [0.65 to 2.33], P = 0.52). Non-paroxysmal AF was the only clinical variable found to be independently associated with non-PV mediated AF. We demonstrated that analysis of AF ablation outcomes data can serve as a tool to successfully identify a sub-phenotype of subjects who have non-PV mediated AF. ClinicalTrials.gov ID # NCT02404415.</description><subject>Ablation</subject><subject>Aged</subject><subject>Arrhythmia</subject><subject>Atrial fibrillation</subject><subject>Atrial Fibrillation - physiopathology</subject><subject>Atrial Fibrillation - surgery</subject><subject>Atrium</subject><subject>Biology and Life Sciences</subject><subject>Cardiac arrhythmia</subject><subject>Care and treatment</subject><subject>Catheter Ablation</subject><subject>Catheters</subject><subject>Development and progression</subject><subject>Diabetes</subject><subject>Fibrillation</subject><subject>Heart</subject><subject>Humans</subject><subject>Informatics</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Patients</subject><subject>Physical Sciences</subject><subject>Precision medicine</subject><subject>Pulmonary Veins - physiopathology</subject><subject>Pulmonary Veins - surgery</subject><subject>Regression Analysis</subject><subject>Research and Analysis Methods</subject><subject>Studies</subject><subject>Task forces</subject><subject>Veins &amp; 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Yoneda, Zachary ; Montgomery, Jay ; Crawford, Diane ; Wray, Lauren Lee ; Xu, Meng ; Kolek, Matthew J ; Richardson, Travis ; Lugo, Ricardo ; Metawee, Mohamed ; Michaud, Greg ; Estrada, Juan Carlos ; Saavedra, Pablo ; Shen, Sharon ; Kanagasundram, Arvindh ; Ellis, Christopher R ; Crossley, George ; Roden, Dan ; Shoemaker, M Benjamin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-3c9eb0f51e92f06e04ce94a2e291f076c8e15afd43a4db4477913f01b5754a693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Ablation</topic><topic>Aged</topic><topic>Arrhythmia</topic><topic>Atrial fibrillation</topic><topic>Atrial Fibrillation - physiopathology</topic><topic>Atrial Fibrillation - surgery</topic><topic>Atrium</topic><topic>Biology and Life Sciences</topic><topic>Cardiac arrhythmia</topic><topic>Care and treatment</topic><topic>Catheter Ablation</topic><topic>Catheters</topic><topic>Development and progression</topic><topic>Diabetes</topic><topic>Fibrillation</topic><topic>Heart</topic><topic>Humans</topic><topic>Informatics</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Patients</topic><topic>Physical Sciences</topic><topic>Precision medicine</topic><topic>Pulmonary Veins - physiopathology</topic><topic>Pulmonary Veins - surgery</topic><topic>Regression Analysis</topic><topic>Research and Analysis Methods</topic><topic>Studies</topic><topic>Task forces</topic><topic>Veins &amp; 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Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - 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>Farrell, Maureen</au><au>Yoneda, Zachary</au><au>Montgomery, Jay</au><au>Crawford, Diane</au><au>Wray, Lauren Lee</au><au>Xu, Meng</au><au>Kolek, Matthew J</au><au>Richardson, Travis</au><au>Lugo, Ricardo</au><au>Metawee, Mohamed</au><au>Michaud, Greg</au><au>Estrada, Juan Carlos</au><au>Saavedra, Pablo</au><au>Shen, Sharon</au><au>Kanagasundram, Arvindh</au><au>Ellis, Christopher R</au><au>Crossley, George</au><au>Roden, Dan</au><au>Shoemaker, M Benjamin</au><au>Bishopric, Nanette H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Non-pulmonary vein mediated atrial fibrillation: A novel sub-phenotype</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-09-07</date><risdate>2017</risdate><volume>12</volume><issue>9</issue><spage>e0184354</spage><epage>e0184354</epage><pages>e0184354-e0184354</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Atrial fibrillation (AF) is a mechanistically heterogeneous disorder, and the ability to identify sub-phenotypes ("endophenotypes") of AF would assist in the delivery of personalized medicine. We used the clinical response to pulmonary vein isolation (PVI) to identify a sub-group of patients with non-PV mediated AF and sought to define the clinical associations. Subjects enrolled in the Vanderbilt AF Ablation Registry who underwent a repeat AF ablation due to arrhythmia recurrence were analyzed on the basis of PV reconnection. Subjects who had no PV reconnection were defined as "non-PV mediated AF". A comparison group of subjects were identified who had AF that was treated with PVI-only and experienced no arrhythmia recurrence &gt;12 months. They were considered a group enriched for "PV-mediated AF". Univariate and multivariable binary logistic regression analysis was performed to investigate clinical associations between the PV and non-PV mediated AF groups. Two hundred and twenty nine subjects underwent repeat AF ablation and thirty three (14%) had no PV reconnection. They were compared with 91 subjects identified as having PV-mediated AF. Subjects with non-PV mediated AF were older (64 years [IQR 60,71] vs. 60 [52,67], P = 0.01), more likely to have non-paroxysmal AF (82% [N = 27] vs. 35% [N = 32], P&lt;0.001), and had a larger left atrium (LA) (4.2cm [3.6,4.8] vs. 4.0 [3.3,4.4], P = 0.04). In univariate analysis, age (per decade: OR 1.56 [95% CI: 1.04 to 2.33], P = 0.03), LA size (per cm: OR 1.8 [1.06 to 3.21], P = 0.03) and non-paroxysmal AF (OR 8.3 [3.10 to 22.19], P&lt;0.001) were all significantly associated with non-PV mediated AF. However, in multivariable analysis only non-paroxysmal AF was independently associated with non-PV mediated AF (OR 7.47 [95% CI 2.62 to 21.29], P&lt;0.001), when adjusted for age (per decade: OR 1.25 [0.81 to 1.94], P = 0.31), male gender (OR 0.48 [0.18 to 1.28], P = 0.14), and LA size (per 1cm: 1.24 [0.65 to 2.33], P = 0.52). Non-paroxysmal AF was the only clinical variable found to be independently associated with non-PV mediated AF. We demonstrated that analysis of AF ablation outcomes data can serve as a tool to successfully identify a sub-phenotype of subjects who have non-PV mediated AF. ClinicalTrials.gov ID # NCT02404415.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28880943</pmid><doi>10.1371/journal.pone.0184354</doi><tpages>e0184354</tpages><orcidid>https://orcid.org/0000-0001-6824-7155</orcidid><oa>free_for_read</oa></addata></record>
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1932-6203
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subjects Ablation
Aged
Arrhythmia
Atrial fibrillation
Atrial Fibrillation - physiopathology
Atrial Fibrillation - surgery
Atrium
Biology and Life Sciences
Cardiac arrhythmia
Care and treatment
Catheter Ablation
Catheters
Development and progression
Diabetes
Fibrillation
Heart
Humans
Informatics
Medical research
Medicine
Medicine and Health Sciences
Middle Aged
Multivariate Analysis
Patients
Physical Sciences
Precision medicine
Pulmonary Veins - physiopathology
Pulmonary Veins - surgery
Regression Analysis
Research and Analysis Methods
Studies
Task forces
Veins & arteries
title Non-pulmonary vein mediated atrial fibrillation: A novel sub-phenotype
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