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Usefulness of the Addition of Renal Function to the CHA2DS2-VASc Score as a Predictor of Thromboembolism and Mortality in Patients Without Atrial Fibrillation
Research is conflicting whether kidney function should be incorporated in thromboembolism risk prediction. Our published data showed that the CHA2DS2-VASc score predicts thromboembolism and mortality in those without atrial fibrillation. We used the Rochester Epidemiology Project medical records sys...
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Published in: | The American journal of cardiology 2018-08, Vol.122 (4), p.597-603 |
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description | Research is conflicting whether kidney function should be incorporated in thromboembolism risk prediction. Our published data showed that the CHA2DS2-VASc score predicts thromboembolism and mortality in those without atrial fibrillation. We used the Rochester Epidemiology Project medical records system to retrospectively evaluate whether adding renal impairment (1 point) to the CHA2DS2-VASc score (-R) enhances the score's prediction of mortality, thromboembolism, and atrial fibrillation in patients without atrial fibrillation. We identified patients that had an implantable cardiac monitoring device placed from January 1, 2004 to December 31, 2013, which was defined as the start date. Follow-up was through March 7, 2016. An implantable device was required to discern the absence of atrial fibrillation. Renal impairment was defined as chronic kidney disease stage 3 or greater. The population (n = 1,606) had a mean age of 69.8 years and median follow-up of 4.8 years. Baseline renal impairment was predictive of mortality (hazard ratio [HR] 2.06, 95% confidence interval [CI] 1.64 to 2.60, p |
doi_str_mv | 10.1016/j.amjcard.2018.04.049 |
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Our published data showed that the CHA2DS2-VASc score predicts thromboembolism and mortality in those without atrial fibrillation. We used the Rochester Epidemiology Project medical records system to retrospectively evaluate whether adding renal impairment (1 point) to the CHA2DS2-VASc score (-R) enhances the score's prediction of mortality, thromboembolism, and atrial fibrillation in patients without atrial fibrillation. We identified patients that had an implantable cardiac monitoring device placed from January 1, 2004 to December 31, 2013, which was defined as the start date. Follow-up was through March 7, 2016. An implantable device was required to discern the absence of atrial fibrillation. Renal impairment was defined as chronic kidney disease stage 3 or greater. The population (n = 1,606) had a mean age of 69.8 years and median follow-up of 4.8 years. Baseline renal impairment was predictive of mortality (hazard ratio [HR] 2.06, 95% confidence interval [CI] 1.64 to 2.60, p <0.001), thromboembolism (HR 1.34, 95% CI 0.96 to 1.87, p = 0.09), and atrial fibrillation (HR 1.31, 95% CI 0.98 to 1.74, p = 0.07). Lower glomerular filtration rate correlated significantly with mortality. Increasing CHA2DS2-VASc-R score correlated significantly with mortality, thromboembolism, and incident atrial fibrillation. The addition of renal impairment to the CHA2DS2-VASc score improved the C-statistics for thromboembolism and survival from 0.72 to 0.73 (p = 0.01) and 0.70 to 0.72 (p <0.001). Adding renal impairment to the CHA2DS2-VASc score improves the score's prediction of thromboembolism and mortality in a population without atrial fibrillation, although the incremental benefit appears mild.</description><identifier>ISSN: 0002-9149</identifier><identifier>EISSN: 1879-1913</identifier><identifier>DOI: 10.1016/j.amjcard.2018.04.049</identifier><identifier>PMID: 29970238</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Aged ; Atrial Fibrillation ; Cardiac arrhythmia ; Confidence intervals ; Correlation analysis ; Electrocardiography ; Epidemiology ; Female ; Fibrillation ; Follow-Up Studies ; Glomerular filtration rate ; Glomerular Filtration Rate - physiology ; Humans ; Impairment ; Kidney diseases ; Kidneys ; Male ; Medical records ; Minnesota - epidemiology ; Monitoring, Physiologic - methods ; Mortality ; Patients ; Population ; Predictions ; Prognosis ; Renal function ; Renal Insufficiency, Chronic - complications ; Renal Insufficiency, Chronic - physiopathology ; Retrospective Studies ; Risk Assessment - methods ; Risk Factors ; Standard deviation ; Stroke ; Survival Rate - trends ; Thromboembolism ; Thromboembolism - diagnosis ; Thromboembolism - etiology ; Thromboembolism - mortality ; Time Factors</subject><ispartof>The American journal of cardiology, 2018-08, Vol.122 (4), p.597-603</ispartof><rights>2018 Elsevier Inc.</rights><rights>Copyright © 2018 Elsevier Inc. All rights reserved.</rights><rights>2018. Elsevier Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c495t-53191fb3da97d67a6788223f4c3babdeecc5c7c3e55a6baf61bba4c2916b4ff33</citedby><cites>FETCH-LOGICAL-c495t-53191fb3da97d67a6788223f4c3babdeecc5c7c3e55a6baf61bba4c2916b4ff33</cites><orcidid>0000-0002-5148-8195</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29970238$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Parsons, Christine</creatorcontrib><creatorcontrib>Cha, Stephen</creatorcontrib><creatorcontrib>Shen, Win-Kuang</creatorcontrib><creatorcontrib>Chamberlain, Alanna M.</creatorcontrib><creatorcontrib>Luis, Sushil Allen</creatorcontrib><creatorcontrib>Keddis, Mira</creatorcontrib><creatorcontrib>Shamoun, Fadi</creatorcontrib><title>Usefulness of the Addition of Renal Function to the CHA2DS2-VASc Score as a Predictor of Thromboembolism and Mortality in Patients Without Atrial Fibrillation</title><title>The American journal of cardiology</title><addtitle>Am J Cardiol</addtitle><description>Research is conflicting whether kidney function should be incorporated in thromboembolism risk prediction. Our published data showed that the CHA2DS2-VASc score predicts thromboembolism and mortality in those without atrial fibrillation. We used the Rochester Epidemiology Project medical records system to retrospectively evaluate whether adding renal impairment (1 point) to the CHA2DS2-VASc score (-R) enhances the score's prediction of mortality, thromboembolism, and atrial fibrillation in patients without atrial fibrillation. We identified patients that had an implantable cardiac monitoring device placed from January 1, 2004 to December 31, 2013, which was defined as the start date. Follow-up was through March 7, 2016. An implantable device was required to discern the absence of atrial fibrillation. Renal impairment was defined as chronic kidney disease stage 3 or greater. The population (n = 1,606) had a mean age of 69.8 years and median follow-up of 4.8 years. Baseline renal impairment was predictive of mortality (hazard ratio [HR] 2.06, 95% confidence interval [CI] 1.64 to 2.60, p <0.001), thromboembolism (HR 1.34, 95% CI 0.96 to 1.87, p = 0.09), and atrial fibrillation (HR 1.31, 95% CI 0.98 to 1.74, p = 0.07). Lower glomerular filtration rate correlated significantly with mortality. Increasing CHA2DS2-VASc-R score correlated significantly with mortality, thromboembolism, and incident atrial fibrillation. The addition of renal impairment to the CHA2DS2-VASc score improved the C-statistics for thromboembolism and survival from 0.72 to 0.73 (p = 0.01) and 0.70 to 0.72 (p <0.001). Adding renal impairment to the CHA2DS2-VASc score improves the score's prediction of thromboembolism and mortality in a population without atrial fibrillation, although the incremental benefit appears mild.</description><subject>Aged</subject><subject>Atrial Fibrillation</subject><subject>Cardiac arrhythmia</subject><subject>Confidence intervals</subject><subject>Correlation analysis</subject><subject>Electrocardiography</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Fibrillation</subject><subject>Follow-Up Studies</subject><subject>Glomerular filtration rate</subject><subject>Glomerular Filtration Rate - physiology</subject><subject>Humans</subject><subject>Impairment</subject><subject>Kidney diseases</subject><subject>Kidneys</subject><subject>Male</subject><subject>Medical records</subject><subject>Minnesota - epidemiology</subject><subject>Monitoring, Physiologic - methods</subject><subject>Mortality</subject><subject>Patients</subject><subject>Population</subject><subject>Predictions</subject><subject>Prognosis</subject><subject>Renal function</subject><subject>Renal Insufficiency, Chronic - complications</subject><subject>Renal Insufficiency, Chronic - physiopathology</subject><subject>Retrospective Studies</subject><subject>Risk Assessment - methods</subject><subject>Risk Factors</subject><subject>Standard deviation</subject><subject>Stroke</subject><subject>Survival Rate - trends</subject><subject>Thromboembolism</subject><subject>Thromboembolism - diagnosis</subject><subject>Thromboembolism - etiology</subject><subject>Thromboembolism - mortality</subject><subject>Time Factors</subject><issn>0002-9149</issn><issn>1879-1913</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqFkltrFDEUgIModlv9CUrAF19mzW0ueVGG1VqhYnFbfQy5jZthZlKTTKF_pr_VTHct6otwQjjJd-4HgBcYrTHC1Zt-Lcdey2DWBOFmjVgW_giscFPzAnNMH4MVQogUHDN-BI5j7LOKcVk9BUeE8xoR2qzA3VW03TxMNkboO5h2FrbGuOT8tOhf7SQHeDpP-v4l-Xtic9aS91tSfGu3Gm61DxbKCCW8CNY4nXxYTC93wY_K23wGF0coJwM_-5Dk4NItdBO8kMnZKUX43aWdnxNsU3BLNKeCGwa5RHwGnnRyiPb54T4BV6cfLjdnxfmXj5827XmhGS9TUdJccaeokbw2VS2rumkIoR3TVEllrNW61LWmtixlpWRXYaUk04TjSrGuo_QEvN37vZ7VaI3OeQU5iOvgRhluhZdO_P0zuZ344W9EhSmtCc4OXh8cBP9ztjGJ0UVtcxmT9XMUBFWMMNKwKqOv_kF7P4fc50zhhvK6LGuUqXJP6eBjDLZ7SAYjsWyA6MVhA8SyAQKxLDzbvfyzkger3yPPwLs9YHM_b5wNIuo8B51HF6xOwnj3nxC_AAZmx4s</recordid><startdate>20180815</startdate><enddate>20180815</enddate><creator>Parsons, Christine</creator><creator>Cha, Stephen</creator><creator>Shen, Win-Kuang</creator><creator>Chamberlain, Alanna M.</creator><creator>Luis, Sushil Allen</creator><creator>Keddis, Mira</creator><creator>Shamoun, Fadi</creator><general>Elsevier Inc</general><general>Elsevier Limited</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>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><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5148-8195</orcidid></search><sort><creationdate>20180815</creationdate><title>Usefulness of the Addition of Renal Function to the CHA2DS2-VASc Score as a Predictor of Thromboembolism and Mortality in Patients Without Atrial Fibrillation</title><author>Parsons, Christine ; Cha, Stephen ; Shen, Win-Kuang ; Chamberlain, Alanna M. ; Luis, Sushil Allen ; Keddis, Mira ; Shamoun, Fadi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c495t-53191fb3da97d67a6788223f4c3babdeecc5c7c3e55a6baf61bba4c2916b4ff33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Aged</topic><topic>Atrial Fibrillation</topic><topic>Cardiac arrhythmia</topic><topic>Confidence intervals</topic><topic>Correlation analysis</topic><topic>Electrocardiography</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Fibrillation</topic><topic>Follow-Up Studies</topic><topic>Glomerular filtration rate</topic><topic>Glomerular Filtration Rate - physiology</topic><topic>Humans</topic><topic>Impairment</topic><topic>Kidney diseases</topic><topic>Kidneys</topic><topic>Male</topic><topic>Medical records</topic><topic>Minnesota - epidemiology</topic><topic>Monitoring, Physiologic - methods</topic><topic>Mortality</topic><topic>Patients</topic><topic>Population</topic><topic>Predictions</topic><topic>Prognosis</topic><topic>Renal function</topic><topic>Renal Insufficiency, Chronic - complications</topic><topic>Renal Insufficiency, Chronic - physiopathology</topic><topic>Retrospective Studies</topic><topic>Risk Assessment - methods</topic><topic>Risk Factors</topic><topic>Standard deviation</topic><topic>Stroke</topic><topic>Survival Rate - trends</topic><topic>Thromboembolism</topic><topic>Thromboembolism - diagnosis</topic><topic>Thromboembolism - etiology</topic><topic>Thromboembolism - mortality</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Parsons, Christine</creatorcontrib><creatorcontrib>Cha, Stephen</creatorcontrib><creatorcontrib>Shen, Win-Kuang</creatorcontrib><creatorcontrib>Chamberlain, Alanna M.</creatorcontrib><creatorcontrib>Luis, Sushil Allen</creatorcontrib><creatorcontrib>Keddis, Mira</creatorcontrib><creatorcontrib>Shamoun, Fadi</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><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)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>The American journal of cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Parsons, Christine</au><au>Cha, Stephen</au><au>Shen, Win-Kuang</au><au>Chamberlain, Alanna M.</au><au>Luis, Sushil Allen</au><au>Keddis, Mira</au><au>Shamoun, Fadi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Usefulness of the Addition of Renal Function to the CHA2DS2-VASc Score as a Predictor of Thromboembolism and Mortality in Patients Without Atrial Fibrillation</atitle><jtitle>The American journal of cardiology</jtitle><addtitle>Am J Cardiol</addtitle><date>2018-08-15</date><risdate>2018</risdate><volume>122</volume><issue>4</issue><spage>597</spage><epage>603</epage><pages>597-603</pages><issn>0002-9149</issn><eissn>1879-1913</eissn><abstract>Research is conflicting whether kidney function should be incorporated in thromboembolism risk prediction. Our published data showed that the CHA2DS2-VASc score predicts thromboembolism and mortality in those without atrial fibrillation. We used the Rochester Epidemiology Project medical records system to retrospectively evaluate whether adding renal impairment (1 point) to the CHA2DS2-VASc score (-R) enhances the score's prediction of mortality, thromboembolism, and atrial fibrillation in patients without atrial fibrillation. We identified patients that had an implantable cardiac monitoring device placed from January 1, 2004 to December 31, 2013, which was defined as the start date. Follow-up was through March 7, 2016. An implantable device was required to discern the absence of atrial fibrillation. Renal impairment was defined as chronic kidney disease stage 3 or greater. The population (n = 1,606) had a mean age of 69.8 years and median follow-up of 4.8 years. Baseline renal impairment was predictive of mortality (hazard ratio [HR] 2.06, 95% confidence interval [CI] 1.64 to 2.60, p <0.001), thromboembolism (HR 1.34, 95% CI 0.96 to 1.87, p = 0.09), and atrial fibrillation (HR 1.31, 95% CI 0.98 to 1.74, p = 0.07). Lower glomerular filtration rate correlated significantly with mortality. Increasing CHA2DS2-VASc-R score correlated significantly with mortality, thromboembolism, and incident atrial fibrillation. The addition of renal impairment to the CHA2DS2-VASc score improved the C-statistics for thromboembolism and survival from 0.72 to 0.73 (p = 0.01) and 0.70 to 0.72 (p <0.001). Adding renal impairment to the CHA2DS2-VASc score improves the score's prediction of thromboembolism and mortality in a population without atrial fibrillation, although the incremental benefit appears mild.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>29970238</pmid><doi>10.1016/j.amjcard.2018.04.049</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-5148-8195</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Atrial Fibrillation Cardiac arrhythmia Confidence intervals Correlation analysis Electrocardiography Epidemiology Female Fibrillation Follow-Up Studies Glomerular filtration rate Glomerular Filtration Rate - physiology Humans Impairment Kidney diseases Kidneys Male Medical records Minnesota - epidemiology Monitoring, Physiologic - methods Mortality Patients Population Predictions Prognosis Renal function Renal Insufficiency, Chronic - complications Renal Insufficiency, Chronic - physiopathology Retrospective Studies Risk Assessment - methods Risk Factors Standard deviation Stroke Survival Rate - trends Thromboembolism Thromboembolism - diagnosis Thromboembolism - etiology Thromboembolism - mortality Time Factors |
title | Usefulness of the Addition of Renal Function to the CHA2DS2-VASc Score as a Predictor of Thromboembolism and Mortality in Patients Without Atrial Fibrillation |
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