Predictors, Burden, and the Impact of Arrhythmia on Patients Admitted for Acute Myocarditis
A significant proportion of patients with acute myocarditis experience sudden cardiac death presumably due to cardiac arrhythmia. In this study, we explore the burden, the predictors of arrhythmia in acute myocarditis and the association between arrhythmias and adverse in-hospital outcomes. After ev...
Gespeichert in:
| Veröffentlicht in: | The American journal of cardiology 2019-01, Vol.123 (1), p.139-144 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 144 |
|---|---|
| container_issue | 1 |
| container_start_page | 139 |
| container_title | The American journal of cardiology |
| container_volume | 123 |
| creator | Adegbala, Oluwole Olagoke, Olakanmi Akintoye, Emmanuel Adejumo, Adeyinka Charles Oluwole, Adegbola Jara, Christina Williams, Karlene Briasoulis, Alexandros Afonso, Luis |
| description | A significant proportion of patients with acute myocarditis experience sudden cardiac death presumably due to cardiac arrhythmia. In this study, we explore the burden, the predictors of arrhythmia in acute myocarditis and the association between arrhythmias and adverse in-hospital outcomes. After evaluating the frequency of various tachyarrhythmias and bradyarrhythmia in myocarditis population, we built a logistic model to determine the independent predictors of arrhythmias in myocarditis and a 1:1 propensity-matched analysis to examine the impact of arrhythmias. Overall, cardiac arrhythmias were identified in 33.71% of the hospitalized myocarditis cases. Ventricular tachycardia and atrial fibrillation were most common arrhythmias. There were increased odds of in-hospital mortality, cardiogenic shock, use of mechanical circulatory support, pacemaker implantation, and nonroutine hospital discharges in the arrhythmia cohorts. Length of stay and cost of hospitalization were also significantly higher. A significant proportion of patients with myocarditis have cardiac arrhythmias. As the occurrence of arrhythmias in myocarditis is associated with worse outcomes, it may be important to risk stratify patient to identify those who will benefit from early intervention. |
| doi_str_mv | 10.1016/j.amjcard.2018.09.017 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2155160383</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0002914918318381</els_id><sourcerecordid>2151719384</sourcerecordid><originalsourceid>FETCH-LOGICAL-c459t-a1448c2a1ab145659826baa213a48139b77d4ba9c5c9061448aa4bd2fb69c7ce3</originalsourceid><addsrcrecordid>eNqFkU1v1DAQhi0EokvhJ4AsceHQpJ7ETuITWio-KhW1BzhxsCa2o3W0iRfbqbT_Hke7cOiF02ikZ94ZPUPIW2AlMGiuxxKnUWMwZcWgK5ksGbTPyAa6VhYgoX5ONoyxqpDA5QV5FeOYWwDRvCQXNRO1bLnYkF8PwRqnkw_xin5agrHzFcXZ0LSz9HY6oE7UD3Qbwu6YdpND6mf6gMnZOUW6NZNLyRo6-EC3ekmWfj_69SqXXHxNXgy4j_bNuV6Sn18-_7j5Vtzdf7292d4VmguZCgTOO10hYA9cNEJ2VdMjVlAj76CWfdsa3qPUQkvWrDAi70019I3Urbb1Jflwyj0E_3uxManJRW33e5ytX6KqQAhoWN3VGX3_BB39EuZ83UpBC7LueKbEidLBxxjsoA7BTRiOCpha7atRne2r1b5iUmX7ee7dOX3pJ2v-Tf3VnYGPJ8BmHY_OBhV1NqnzC4LVSRnv_rPiD9uWlx4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2151719384</pqid></control><display><type>article</type><title>Predictors, Burden, and the Impact of Arrhythmia on Patients Admitted for Acute Myocarditis</title><source>Elsevier ScienceDirect Journals Complete</source><source>ProQuest Central UK/Ireland</source><creator>Adegbala, Oluwole ; Olagoke, Olakanmi ; Akintoye, Emmanuel ; Adejumo, Adeyinka Charles ; Oluwole, Adegbola ; Jara, Christina ; Williams, Karlene ; Briasoulis, Alexandros ; Afonso, Luis</creator><creatorcontrib>Adegbala, Oluwole ; Olagoke, Olakanmi ; Akintoye, Emmanuel ; Adejumo, Adeyinka Charles ; Oluwole, Adegbola ; Jara, Christina ; Williams, Karlene ; Briasoulis, Alexandros ; Afonso, Luis</creatorcontrib><description>A significant proportion of patients with acute myocarditis experience sudden cardiac death presumably due to cardiac arrhythmia. In this study, we explore the burden, the predictors of arrhythmia in acute myocarditis and the association between arrhythmias and adverse in-hospital outcomes. After evaluating the frequency of various tachyarrhythmias and bradyarrhythmia in myocarditis population, we built a logistic model to determine the independent predictors of arrhythmias in myocarditis and a 1:1 propensity-matched analysis to examine the impact of arrhythmias. Overall, cardiac arrhythmias were identified in 33.71% of the hospitalized myocarditis cases. Ventricular tachycardia and atrial fibrillation were most common arrhythmias. There were increased odds of in-hospital mortality, cardiogenic shock, use of mechanical circulatory support, pacemaker implantation, and nonroutine hospital discharges in the arrhythmia cohorts. Length of stay and cost of hospitalization were also significantly higher. A significant proportion of patients with myocarditis have cardiac arrhythmias. As the occurrence of arrhythmias in myocarditis is associated with worse outcomes, it may be important to risk stratify patient to identify those who will benefit from early intervention.</description><identifier>ISSN: 0002-9149</identifier><identifier>EISSN: 1879-1913</identifier><identifier>DOI: 10.1016/j.amjcard.2018.09.017</identifier><identifier>PMID: 30539745</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Arrhythmia ; Cardiac arrhythmia ; Disease ; Family income ; Fibrillation ; Generalized linear models ; Health care ; Heart diseases ; Heart failure ; Hospital costs ; Hyperthyroidism ; Implantation ; Kidneys ; Medicaid ; Mortality ; Myocarditis ; Patients ; Statistical analysis ; Tachycardia ; Variables ; Ventricle</subject><ispartof>The American journal of cardiology, 2019-01, Vol.123 (1), p.139-144</ispartof><rights>2018</rights><rights>Copyright © 2018. Published by Elsevier Inc.</rights><rights>Copyright Elsevier Limited Jan 1, 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c459t-a1448c2a1ab145659826baa213a48139b77d4ba9c5c9061448aa4bd2fb69c7ce3</citedby><cites>FETCH-LOGICAL-c459t-a1448c2a1ab145659826baa213a48139b77d4ba9c5c9061448aa4bd2fb69c7ce3</cites><orcidid>0000-0002-1753-4717</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2151719384?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30539745$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Adegbala, Oluwole</creatorcontrib><creatorcontrib>Olagoke, Olakanmi</creatorcontrib><creatorcontrib>Akintoye, Emmanuel</creatorcontrib><creatorcontrib>Adejumo, Adeyinka Charles</creatorcontrib><creatorcontrib>Oluwole, Adegbola</creatorcontrib><creatorcontrib>Jara, Christina</creatorcontrib><creatorcontrib>Williams, Karlene</creatorcontrib><creatorcontrib>Briasoulis, Alexandros</creatorcontrib><creatorcontrib>Afonso, Luis</creatorcontrib><title>Predictors, Burden, and the Impact of Arrhythmia on Patients Admitted for Acute Myocarditis</title><title>The American journal of cardiology</title><addtitle>Am J Cardiol</addtitle><description>A significant proportion of patients with acute myocarditis experience sudden cardiac death presumably due to cardiac arrhythmia. In this study, we explore the burden, the predictors of arrhythmia in acute myocarditis and the association between arrhythmias and adverse in-hospital outcomes. After evaluating the frequency of various tachyarrhythmias and bradyarrhythmia in myocarditis population, we built a logistic model to determine the independent predictors of arrhythmias in myocarditis and a 1:1 propensity-matched analysis to examine the impact of arrhythmias. Overall, cardiac arrhythmias were identified in 33.71% of the hospitalized myocarditis cases. Ventricular tachycardia and atrial fibrillation were most common arrhythmias. There were increased odds of in-hospital mortality, cardiogenic shock, use of mechanical circulatory support, pacemaker implantation, and nonroutine hospital discharges in the arrhythmia cohorts. Length of stay and cost of hospitalization were also significantly higher. A significant proportion of patients with myocarditis have cardiac arrhythmias. As the occurrence of arrhythmias in myocarditis is associated with worse outcomes, it may be important to risk stratify patient to identify those who will benefit from early intervention.</description><subject>Arrhythmia</subject><subject>Cardiac arrhythmia</subject><subject>Disease</subject><subject>Family income</subject><subject>Fibrillation</subject><subject>Generalized linear models</subject><subject>Health care</subject><subject>Heart diseases</subject><subject>Heart failure</subject><subject>Hospital costs</subject><subject>Hyperthyroidism</subject><subject>Implantation</subject><subject>Kidneys</subject><subject>Medicaid</subject><subject>Mortality</subject><subject>Myocarditis</subject><subject>Patients</subject><subject>Statistical analysis</subject><subject>Tachycardia</subject><subject>Variables</subject><subject>Ventricle</subject><issn>0002-9149</issn><issn>1879-1913</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkU1v1DAQhi0EokvhJ4AsceHQpJ7ETuITWio-KhW1BzhxsCa2o3W0iRfbqbT_Hke7cOiF02ikZ94ZPUPIW2AlMGiuxxKnUWMwZcWgK5ksGbTPyAa6VhYgoX5ONoyxqpDA5QV5FeOYWwDRvCQXNRO1bLnYkF8PwRqnkw_xin5agrHzFcXZ0LSz9HY6oE7UD3Qbwu6YdpND6mf6gMnZOUW6NZNLyRo6-EC3ekmWfj_69SqXXHxNXgy4j_bNuV6Sn18-_7j5Vtzdf7292d4VmguZCgTOO10hYA9cNEJ2VdMjVlAj76CWfdsa3qPUQkvWrDAi70019I3Urbb1Jflwyj0E_3uxManJRW33e5ytX6KqQAhoWN3VGX3_BB39EuZ83UpBC7LueKbEidLBxxjsoA7BTRiOCpha7atRne2r1b5iUmX7ee7dOX3pJ2v-Tf3VnYGPJ8BmHY_OBhV1NqnzC4LVSRnv_rPiD9uWlx4</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Adegbala, Oluwole</creator><creator>Olagoke, Olakanmi</creator><creator>Akintoye, Emmanuel</creator><creator>Adejumo, Adeyinka Charles</creator><creator>Oluwole, Adegbola</creator><creator>Jara, Christina</creator><creator>Williams, Karlene</creator><creator>Briasoulis, Alexandros</creator><creator>Afonso, Luis</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7Z</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-1753-4717</orcidid></search><sort><creationdate>20190101</creationdate><title>Predictors, Burden, and the Impact of Arrhythmia on Patients Admitted for Acute Myocarditis</title><author>Adegbala, Oluwole ; Olagoke, Olakanmi ; Akintoye, Emmanuel ; Adejumo, Adeyinka Charles ; Oluwole, Adegbola ; Jara, Christina ; Williams, Karlene ; Briasoulis, Alexandros ; Afonso, Luis</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-a1448c2a1ab145659826baa213a48139b77d4ba9c5c9061448aa4bd2fb69c7ce3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Arrhythmia</topic><topic>Cardiac arrhythmia</topic><topic>Disease</topic><topic>Family income</topic><topic>Fibrillation</topic><topic>Generalized linear models</topic><topic>Health care</topic><topic>Heart diseases</topic><topic>Heart failure</topic><topic>Hospital costs</topic><topic>Hyperthyroidism</topic><topic>Implantation</topic><topic>Kidneys</topic><topic>Medicaid</topic><topic>Mortality</topic><topic>Myocarditis</topic><topic>Patients</topic><topic>Statistical analysis</topic><topic>Tachycardia</topic><topic>Variables</topic><topic>Ventricle</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Adegbala, Oluwole</creatorcontrib><creatorcontrib>Olagoke, Olakanmi</creatorcontrib><creatorcontrib>Akintoye, Emmanuel</creatorcontrib><creatorcontrib>Adejumo, Adeyinka Charles</creatorcontrib><creatorcontrib>Oluwole, Adegbola</creatorcontrib><creatorcontrib>Jara, Christina</creatorcontrib><creatorcontrib>Williams, Karlene</creatorcontrib><creatorcontrib>Briasoulis, Alexandros</creatorcontrib><creatorcontrib>Afonso, Luis</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</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>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biochemistry Abstracts 1</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</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 Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>The American journal of cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Adegbala, Oluwole</au><au>Olagoke, Olakanmi</au><au>Akintoye, Emmanuel</au><au>Adejumo, Adeyinka Charles</au><au>Oluwole, Adegbola</au><au>Jara, Christina</au><au>Williams, Karlene</au><au>Briasoulis, Alexandros</au><au>Afonso, Luis</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictors, Burden, and the Impact of Arrhythmia on Patients Admitted for Acute Myocarditis</atitle><jtitle>The American journal of cardiology</jtitle><addtitle>Am J Cardiol</addtitle><date>2019-01-01</date><risdate>2019</risdate><volume>123</volume><issue>1</issue><spage>139</spage><epage>144</epage><pages>139-144</pages><issn>0002-9149</issn><eissn>1879-1913</eissn><abstract>A significant proportion of patients with acute myocarditis experience sudden cardiac death presumably due to cardiac arrhythmia. In this study, we explore the burden, the predictors of arrhythmia in acute myocarditis and the association between arrhythmias and adverse in-hospital outcomes. After evaluating the frequency of various tachyarrhythmias and bradyarrhythmia in myocarditis population, we built a logistic model to determine the independent predictors of arrhythmias in myocarditis and a 1:1 propensity-matched analysis to examine the impact of arrhythmias. Overall, cardiac arrhythmias were identified in 33.71% of the hospitalized myocarditis cases. Ventricular tachycardia and atrial fibrillation were most common arrhythmias. There were increased odds of in-hospital mortality, cardiogenic shock, use of mechanical circulatory support, pacemaker implantation, and nonroutine hospital discharges in the arrhythmia cohorts. Length of stay and cost of hospitalization were also significantly higher. A significant proportion of patients with myocarditis have cardiac arrhythmias. As the occurrence of arrhythmias in myocarditis is associated with worse outcomes, it may be important to risk stratify patient to identify those who will benefit from early intervention.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>30539745</pmid><doi>10.1016/j.amjcard.2018.09.017</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-1753-4717</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0002-9149 |
| ispartof | The American journal of cardiology, 2019-01, Vol.123 (1), p.139-144 |
| issn | 0002-9149 1879-1913 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2155160383 |
| source | Elsevier ScienceDirect Journals Complete; ProQuest Central UK/Ireland |
| subjects | Arrhythmia Cardiac arrhythmia Disease Family income Fibrillation Generalized linear models Health care Heart diseases Heart failure Hospital costs Hyperthyroidism Implantation Kidneys Medicaid Mortality Myocarditis Patients Statistical analysis Tachycardia Variables Ventricle |
| title | Predictors, Burden, and the Impact of Arrhythmia on Patients Admitted for Acute Myocarditis |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T13%3A41%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Predictors,%20Burden,%20and%20the%20Impact%20of%20Arrhythmia%20on%20Patients%20Admitted%20for%20Acute%20Myocarditis&rft.jtitle=The%20American%20journal%20of%20cardiology&rft.au=Adegbala,%20Oluwole&rft.date=2019-01-01&rft.volume=123&rft.issue=1&rft.spage=139&rft.epage=144&rft.pages=139-144&rft.issn=0002-9149&rft.eissn=1879-1913&rft_id=info:doi/10.1016/j.amjcard.2018.09.017&rft_dat=%3Cproquest_cross%3E2151719384%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2151719384&rft_id=info:pmid/30539745&rft_els_id=S0002914918318381&rfr_iscdi=true |