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Evaluation of a clinical score for predicting atrial fibrillation in cryptogenic stroke patients with insertable cardiac monitors: results from the CRYSTAL AF study
Background: The HAVOC score was previously developed to predict the risk of atrial fibrillation (AF) after cryptogenic stroke (CS) or transient ischemic attack (TIA). The purpose of this study was to apply the HAVOC score to patients who received insertable cardiac monitors (ICMs) in the CRYSTAL AF...
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Published in: | Therapeutic advances in neurological disorders 2019-04, Vol.12, p.1756286419842698-1756286419842698 |
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creator | Zhao, Susan X. Ziegler, Paul D. Crawford, Michael H. Kwong, Calvin Koehler, Jodi L. Passman, Rod S. |
description | Background:
The HAVOC score was previously developed to predict the risk of atrial fibrillation (AF) after cryptogenic stroke (CS) or transient ischemic attack (TIA). The purpose of this study was to apply the HAVOC score to patients who received insertable cardiac monitors (ICMs) in the CRYSTAL AF study.
Methods:
All patients from the CRYSTAL AF study who received an ICM were included. HAVOC score (one point each for peripheral vascular disease and obesity with body mass index >30, two points each for hypertension, age ⩾ 75, valvular heart disease, and coronary artery disease, 4 points for congestive heart failure) was computed for all patients. The primary endpoint was AF detection by 12 months of ICM monitoring.
Results:
A total of 214 patients who received ICM were included. AF was detected in 40 patients while the remaining 174 patients were AF negative. The HAVOC score was significantly higher among patients with AF [median 3.0 with interquartile range (IQR) 2–4] than those without AF [median 2.0 (IQR 0–3)], p = 0.01. AF increased significantly across the three HAVOC score groups: 11% in Group A (score 0–1), 18% in Group B (score 2–3), and 32 % in Group C (score ⩾ 4) with p = 0.02.
Conclusions:
The HAVOC score was shown in this post hoc analysis of CRYSTAL AF to successfully stratify AF risk post CS or TIA. The 11% AF rate in the lowest HAVOC score group highlights the significance of nontraditional contributors to AF and ischemic stroke. |
doi_str_mv | 10.1177/1756286419842698 |
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The HAVOC score was previously developed to predict the risk of atrial fibrillation (AF) after cryptogenic stroke (CS) or transient ischemic attack (TIA). The purpose of this study was to apply the HAVOC score to patients who received insertable cardiac monitors (ICMs) in the CRYSTAL AF study.
Methods:
All patients from the CRYSTAL AF study who received an ICM were included. HAVOC score (one point each for peripheral vascular disease and obesity with body mass index >30, two points each for hypertension, age ⩾ 75, valvular heart disease, and coronary artery disease, 4 points for congestive heart failure) was computed for all patients. The primary endpoint was AF detection by 12 months of ICM monitoring.
Results:
A total of 214 patients who received ICM were included. AF was detected in 40 patients while the remaining 174 patients were AF negative. The HAVOC score was significantly higher among patients with AF [median 3.0 with interquartile range (IQR) 2–4] than those without AF [median 2.0 (IQR 0–3)], p = 0.01. AF increased significantly across the three HAVOC score groups: 11% in Group A (score 0–1), 18% in Group B (score 2–3), and 32 % in Group C (score ⩾ 4) with p = 0.02.
Conclusions:
The HAVOC score was shown in this post hoc analysis of CRYSTAL AF to successfully stratify AF risk post CS or TIA. The 11% AF rate in the lowest HAVOC score group highlights the significance of nontraditional contributors to AF and ischemic stroke.</description><identifier>ISSN: 1756-2864</identifier><identifier>ISSN: 1756-2856</identifier><identifier>EISSN: 1756-2864</identifier><identifier>DOI: 10.1177/1756286419842698</identifier><identifier>PMID: 31007721</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Body mass index ; Cardiac arrhythmia ; Cardiovascular disease ; Congestive heart failure ; Coronary artery ; Coronary artery disease ; Fibrillation ; Ischemia ; Monitoring systems ; Original Research ; Stroke ; Transient ischemic attack ; Vascular diseases</subject><ispartof>Therapeutic advances in neurological disorders, 2019-04, Vol.12, p.1756286419842698-1756286419842698</ispartof><rights>The Author(s), 2019</rights><rights>The Author(s), 2019. This work is licensed under the Creative Commons Attribution – Non-Commercial License http://www.creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s), 2019 2019 SAGE Publications Ltd unless otherwise noted. Manuscript content on this site is licensed under Creative Commons Licenses</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c528t-57f720a4de452fe02fb08a33823f306430994b931e0eaa4b238d2db10f28919d3</citedby><cites>FETCH-LOGICAL-c528t-57f720a4de452fe02fb08a33823f306430994b931e0eaa4b238d2db10f28919d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460885/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2331589653?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,21966,25753,27853,27924,27925,37012,37013,44590,44945,45333,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31007721$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhao, Susan X.</creatorcontrib><creatorcontrib>Ziegler, Paul D.</creatorcontrib><creatorcontrib>Crawford, Michael H.</creatorcontrib><creatorcontrib>Kwong, Calvin</creatorcontrib><creatorcontrib>Koehler, Jodi L.</creatorcontrib><creatorcontrib>Passman, Rod S.</creatorcontrib><title>Evaluation of a clinical score for predicting atrial fibrillation in cryptogenic stroke patients with insertable cardiac monitors: results from the CRYSTAL AF study</title><title>Therapeutic advances in neurological disorders</title><addtitle>Ther Adv Neurol Disord</addtitle><description>Background:
The HAVOC score was previously developed to predict the risk of atrial fibrillation (AF) after cryptogenic stroke (CS) or transient ischemic attack (TIA). The purpose of this study was to apply the HAVOC score to patients who received insertable cardiac monitors (ICMs) in the CRYSTAL AF study.
Methods:
All patients from the CRYSTAL AF study who received an ICM were included. HAVOC score (one point each for peripheral vascular disease and obesity with body mass index >30, two points each for hypertension, age ⩾ 75, valvular heart disease, and coronary artery disease, 4 points for congestive heart failure) was computed for all patients. The primary endpoint was AF detection by 12 months of ICM monitoring.
Results:
A total of 214 patients who received ICM were included. AF was detected in 40 patients while the remaining 174 patients were AF negative. The HAVOC score was significantly higher among patients with AF [median 3.0 with interquartile range (IQR) 2–4] than those without AF [median 2.0 (IQR 0–3)], p = 0.01. AF increased significantly across the three HAVOC score groups: 11% in Group A (score 0–1), 18% in Group B (score 2–3), and 32 % in Group C (score ⩾ 4) with p = 0.02.
Conclusions:
The HAVOC score was shown in this post hoc analysis of CRYSTAL AF to successfully stratify AF risk post CS or TIA. The 11% AF rate in the lowest HAVOC score group highlights the significance of nontraditional contributors to AF and ischemic stroke.</description><subject>Body mass index</subject><subject>Cardiac arrhythmia</subject><subject>Cardiovascular disease</subject><subject>Congestive heart failure</subject><subject>Coronary artery</subject><subject>Coronary artery disease</subject><subject>Fibrillation</subject><subject>Ischemia</subject><subject>Monitoring systems</subject><subject>Original Research</subject><subject>Stroke</subject><subject>Transient ischemic attack</subject><subject>Vascular diseases</subject><issn>1756-2864</issn><issn>1756-2856</issn><issn>1756-2864</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>AFRWT</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp1kk9vEzEQxVcIREvhzglZ4tJLwP9218sBKYpaqBQJCcqBk-W1x4nLZh3G3qJ8Hz4oDimlrcTJ1sx7P3uepqpeMvqGsbZ9y9q64aqRrFOSN516VB3vS7N97fGd-1H1LKUrShveSvq0OhKM0rbl7Lj6dXZthsnkEEcSPTHEDmEM1gwk2YhAfESyRXDB5jCuiMkYSs-HHsMwHGxhJBZ32xxXUJwkZYzfgWxLE8acyM-Q10WTALPpByDWoAvGkk0cQ46Y3hGENA1F6TFuSF4DWXz-9uVyviTz80Kb3O559cSbIcGLm_Ok-np-drn4OFt--nCxmC9ntuYqz-rWt5wa6UDW3APlvqfKCKG48II2UtCuk30nGFAwRvZcKMddz6jnqmOdEyfVxYHrornSWwwbgzsdTdB_ChFX2mAOdgDtSugeaiNcD1Lxpje1hIYzxWzfSQuF9f7A2k79BpwtWaAZ7kHvd8aw1qt4rRvZUKXqAji9AWD8MUHKehOShZL6CHFKmnPGy7hU7KWvH0iv4oRjiUpzIVituqYWRUUPKosxJQR_-xlG9X6d9MN1KpZXd4e4NfzdnyKYHQTJrODfq_8F_gac6tUe</recordid><startdate>20190401</startdate><enddate>20190401</enddate><creator>Zhao, Susan X.</creator><creator>Ziegler, Paul D.</creator><creator>Crawford, Michael H.</creator><creator>Kwong, Calvin</creator><creator>Koehler, Jodi L.</creator><creator>Passman, Rod S.</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><general>SAGE Publishing</general><scope>AFRWT</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20190401</creationdate><title>Evaluation of a clinical score for predicting atrial fibrillation in cryptogenic stroke patients with insertable cardiac monitors: results from the CRYSTAL AF study</title><author>Zhao, Susan X. ; Ziegler, Paul D. ; Crawford, Michael H. ; Kwong, Calvin ; Koehler, Jodi L. ; Passman, Rod S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c528t-57f720a4de452fe02fb08a33823f306430994b931e0eaa4b238d2db10f28919d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Body mass index</topic><topic>Cardiac arrhythmia</topic><topic>Cardiovascular disease</topic><topic>Congestive heart failure</topic><topic>Coronary artery</topic><topic>Coronary artery disease</topic><topic>Fibrillation</topic><topic>Ischemia</topic><topic>Monitoring systems</topic><topic>Original Research</topic><topic>Stroke</topic><topic>Transient ischemic attack</topic><topic>Vascular diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Susan X.</creatorcontrib><creatorcontrib>Ziegler, Paul D.</creatorcontrib><creatorcontrib>Crawford, Michael H.</creatorcontrib><creatorcontrib>Kwong, Calvin</creatorcontrib><creatorcontrib>Koehler, Jodi L.</creatorcontrib><creatorcontrib>Passman, Rod S.</creatorcontrib><collection>SAGE Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest - 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>ProQuest One Psychology</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Therapeutic advances in neurological disorders</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhao, Susan X.</au><au>Ziegler, Paul D.</au><au>Crawford, Michael H.</au><au>Kwong, Calvin</au><au>Koehler, Jodi L.</au><au>Passman, Rod S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of a clinical score for predicting atrial fibrillation in cryptogenic stroke patients with insertable cardiac monitors: results from the CRYSTAL AF study</atitle><jtitle>Therapeutic advances in neurological disorders</jtitle><addtitle>Ther Adv Neurol Disord</addtitle><date>2019-04-01</date><risdate>2019</risdate><volume>12</volume><spage>1756286419842698</spage><epage>1756286419842698</epage><pages>1756286419842698-1756286419842698</pages><issn>1756-2864</issn><issn>1756-2856</issn><eissn>1756-2864</eissn><abstract>Background:
The HAVOC score was previously developed to predict the risk of atrial fibrillation (AF) after cryptogenic stroke (CS) or transient ischemic attack (TIA). The purpose of this study was to apply the HAVOC score to patients who received insertable cardiac monitors (ICMs) in the CRYSTAL AF study.
Methods:
All patients from the CRYSTAL AF study who received an ICM were included. HAVOC score (one point each for peripheral vascular disease and obesity with body mass index >30, two points each for hypertension, age ⩾ 75, valvular heart disease, and coronary artery disease, 4 points for congestive heart failure) was computed for all patients. The primary endpoint was AF detection by 12 months of ICM monitoring.
Results:
A total of 214 patients who received ICM were included. AF was detected in 40 patients while the remaining 174 patients were AF negative. The HAVOC score was significantly higher among patients with AF [median 3.0 with interquartile range (IQR) 2–4] than those without AF [median 2.0 (IQR 0–3)], p = 0.01. AF increased significantly across the three HAVOC score groups: 11% in Group A (score 0–1), 18% in Group B (score 2–3), and 32 % in Group C (score ⩾ 4) with p = 0.02.
Conclusions:
The HAVOC score was shown in this post hoc analysis of CRYSTAL AF to successfully stratify AF risk post CS or TIA. The 11% AF rate in the lowest HAVOC score group highlights the significance of nontraditional contributors to AF and ischemic stroke.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>31007721</pmid><doi>10.1177/1756286419842698</doi><oa>free_for_read</oa></addata></record> |
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subjects | Body mass index Cardiac arrhythmia Cardiovascular disease Congestive heart failure Coronary artery Coronary artery disease Fibrillation Ischemia Monitoring systems Original Research Stroke Transient ischemic attack Vascular diseases |
title | Evaluation of a clinical score for predicting atrial fibrillation in cryptogenic stroke patients with insertable cardiac monitors: results from the CRYSTAL AF study |
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