Estimates of Current and Future Incidence and Prevalence of Atrial Fibrillation in the U.S. Adult Population
Estimates and projections of diagnosed incidence and prevalence of atrial fibrillation (AF) in the United States have been highly inconsistent across published studies. Although it is generally acknowledged that AF incidence and prevalence are increasing due to growing numbers of older people in the...
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Veröffentlicht in: | The American journal of cardiology 2013-10, Vol.112 (8), p.1142-1147 |
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description | Estimates and projections of diagnosed incidence and prevalence of atrial fibrillation (AF) in the United States have been highly inconsistent across published studies. Although it is generally acknowledged that AF incidence and prevalence are increasing due to growing numbers of older people in the U.S. population, estimates of the rate of expected growth have varied widely. Reasons for these variations include differences in study design, covered time period, birth cohort, and temporal effects, as well as improvements in AF diagnosis due to increased use of diagnostic tools and health care awareness. The objective of this study was to estimate and project the incidence and prevalence of diagnosed AF in the United States out to 2030. A large health insurance claims database for the years 2001 to 2008, representing a geographically diverse 5% of the U.S. population, was used in this study. The trend and growth rate in AF incidence and prevalence was projected by a dynamic age-period cohort simulation progression model that included all diagnosed AF cases in future prevalence projections regardless of follow-up treatment, as well as those cases expected to be chronic in nature. Results from the model showed that AF incidence will double, from 1.2 million cases in 2010 to 2.6 million cases in 2030. Given this increase in incidence, AF prevalence is projected to increase from 5.2 million in 2010 to 12.1 million cases in 2030. The effect of uncertainty in model parameters was explored in deterministic and probabilistic sensitivity analyses. Variability in future trends in AF incidence and recurrence rates has the greatest impact on the projected estimates of chronic AF prevalence. It can be concluded that both incidence and prevalence of AF are likely to rise from 2010 to 2030, but there exists a wide range of uncertainty around the magnitude of future trends. |
doi_str_mv | 10.1016/j.amjcard.2013.05.063 |
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Although it is generally acknowledged that AF incidence and prevalence are increasing due to growing numbers of older people in the U.S. population, estimates of the rate of expected growth have varied widely. Reasons for these variations include differences in study design, covered time period, birth cohort, and temporal effects, as well as improvements in AF diagnosis due to increased use of diagnostic tools and health care awareness. The objective of this study was to estimate and project the incidence and prevalence of diagnosed AF in the United States out to 2030. A large health insurance claims database for the years 2001 to 2008, representing a geographically diverse 5% of the U.S. population, was used in this study. The trend and growth rate in AF incidence and prevalence was projected by a dynamic age-period cohort simulation progression model that included all diagnosed AF cases in future prevalence projections regardless of follow-up treatment, as well as those cases expected to be chronic in nature. Results from the model showed that AF incidence will double, from 1.2 million cases in 2010 to 2.6 million cases in 2030. Given this increase in incidence, AF prevalence is projected to increase from 5.2 million in 2010 to 12.1 million cases in 2030. The effect of uncertainty in model parameters was explored in deterministic and probabilistic sensitivity analyses. Variability in future trends in AF incidence and recurrence rates has the greatest impact on the projected estimates of chronic AF prevalence. It can be concluded that both incidence and prevalence of AF are likely to rise from 2010 to 2030, but there exists a wide range of uncertainty around the magnitude of future trends.</description><identifier>ISSN: 0002-9149</identifier><identifier>EISSN: 1879-1913</identifier><identifier>DOI: 10.1016/j.amjcard.2013.05.063</identifier><identifier>PMID: 23831166</identifier><identifier>CODEN: AJCDAG</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Atrial Fibrillation - epidemiology ; Cardiovascular ; Estimates ; Female ; Forecasting ; Health insurance ; Humans ; Incidence ; Insurance claims ; Male ; Mortality ; Population Surveillance ; Prevalence ; Retrospective Studies ; Risk Factors ; Studies ; Survival Rate - trends ; United States - epidemiology ; Young Adult</subject><ispartof>The American journal of cardiology, 2013-10, Vol.112 (8), p.1142-1147</ispartof><rights>Elsevier Inc.</rights><rights>2013 Elsevier Inc.</rights><rights>Copyright © 2013 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited Oct 15, 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c566t-463866f3c6df19462036b58f9d671ed3c7efb919e01020a9f7db13c3712393313</citedby><cites>FETCH-LOGICAL-c566t-463866f3c6df19462036b58f9d671ed3c7efb919e01020a9f7db13c3712393313</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1437585969?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,778,782,3539,27907,27908,45978,64366,64368,64370,72220</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23831166$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Colilla, Susan, PhD, MPH</creatorcontrib><creatorcontrib>Crow, Ann, MLS</creatorcontrib><creatorcontrib>Petkun, William, MD</creatorcontrib><creatorcontrib>Singer, Daniel E., MD</creatorcontrib><creatorcontrib>Simon, Teresa, MPH</creatorcontrib><creatorcontrib>Liu, Xianchen, MD, PhD</creatorcontrib><title>Estimates of Current and Future Incidence and Prevalence of Atrial Fibrillation in the U.S. Adult Population</title><title>The American journal of cardiology</title><addtitle>Am J Cardiol</addtitle><description>Estimates and projections of diagnosed incidence and prevalence of atrial fibrillation (AF) in the United States have been highly inconsistent across published studies. Although it is generally acknowledged that AF incidence and prevalence are increasing due to growing numbers of older people in the U.S. population, estimates of the rate of expected growth have varied widely. Reasons for these variations include differences in study design, covered time period, birth cohort, and temporal effects, as well as improvements in AF diagnosis due to increased use of diagnostic tools and health care awareness. The objective of this study was to estimate and project the incidence and prevalence of diagnosed AF in the United States out to 2030. A large health insurance claims database for the years 2001 to 2008, representing a geographically diverse 5% of the U.S. population, was used in this study. The trend and growth rate in AF incidence and prevalence was projected by a dynamic age-period cohort simulation progression model that included all diagnosed AF cases in future prevalence projections regardless of follow-up treatment, as well as those cases expected to be chronic in nature. Results from the model showed that AF incidence will double, from 1.2 million cases in 2010 to 2.6 million cases in 2030. Given this increase in incidence, AF prevalence is projected to increase from 5.2 million in 2010 to 12.1 million cases in 2030. The effect of uncertainty in model parameters was explored in deterministic and probabilistic sensitivity analyses. Variability in future trends in AF incidence and recurrence rates has the greatest impact on the projected estimates of chronic AF prevalence. It can be concluded that both incidence and prevalence of AF are likely to rise from 2010 to 2030, but there exists a wide range of uncertainty around the magnitude of future trends.</description><subject>Adult</subject><subject>Atrial Fibrillation - epidemiology</subject><subject>Cardiovascular</subject><subject>Estimates</subject><subject>Female</subject><subject>Forecasting</subject><subject>Health insurance</subject><subject>Humans</subject><subject>Incidence</subject><subject>Insurance claims</subject><subject>Male</subject><subject>Mortality</subject><subject>Population Surveillance</subject><subject>Prevalence</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>Studies</subject><subject>Survival Rate - trends</subject><subject>United States - epidemiology</subject><subject>Young Adult</subject><issn>0002-9149</issn><issn>1879-1913</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><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>eNqFkk1v1DAQhi1ERZfCTwBZ4sIlqSeTOPEFtFp1oVIlKpWercSeCC_ZZLGdSv33ON0FpF44WWM_8-H3HcbegchBgLzc5e1-Z1pv80IA5qLKhcQXbAVNrTJQgC_ZSghRZApKdc5eh7BLIUAlX7HzAhsEkHLFhqsQ3b6NFPjU883sPY2Rt6Pl2znOnvj1aJyl0dDT5a2nh3Z4ChO-jt61A9-6zrthaKObRu5GHn8Qv8_vcr628xD57XSYj49v2FnfDoHens4Ldr-9-r75mt18-3K9Wd9kppIyZqXERsoejbQ9qFIWAmVXNb2ysgayaGrqOwWKBIhCtKqvbQdosIYCFSLgBft4rHvw06-ZQtR7FwylEUea5qChLBGTLrJJ6Idn6G6a_ZimSxTWVVMpqRJVHSnjpxA89frgk2r-UYPQix16p0926MUOLSqd7Eh570_V525P9m_WH_0T8PkIUJLjwZHXwbhFXus8majt5P7b4tOzCmZwozPt8JMeKfz7jQ6FFvpu2YllJQAFFE1T4W_q47DO</recordid><startdate>20131015</startdate><enddate>20131015</enddate><creator>Colilla, Susan, PhD, MPH</creator><creator>Crow, Ann, MLS</creator><creator>Petkun, William, MD</creator><creator>Singer, Daniel E., MD</creator><creator>Simon, Teresa, MPH</creator><creator>Liu, Xianchen, MD, PhD</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></search><sort><creationdate>20131015</creationdate><title>Estimates of Current and Future Incidence and Prevalence of Atrial Fibrillation in the U.S. Adult Population</title><author>Colilla, Susan, PhD, MPH ; Crow, Ann, MLS ; Petkun, William, MD ; Singer, Daniel E., MD ; Simon, Teresa, MPH ; Liu, Xianchen, MD, PhD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c566t-463866f3c6df19462036b58f9d671ed3c7efb919e01020a9f7db13c3712393313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Atrial Fibrillation - epidemiology</topic><topic>Cardiovascular</topic><topic>Estimates</topic><topic>Female</topic><topic>Forecasting</topic><topic>Health insurance</topic><topic>Humans</topic><topic>Incidence</topic><topic>Insurance claims</topic><topic>Male</topic><topic>Mortality</topic><topic>Population Surveillance</topic><topic>Prevalence</topic><topic>Retrospective Studies</topic><topic>Risk Factors</topic><topic>Studies</topic><topic>Survival Rate - trends</topic><topic>United States - epidemiology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Colilla, Susan, PhD, MPH</creatorcontrib><creatorcontrib>Crow, Ann, MLS</creatorcontrib><creatorcontrib>Petkun, William, MD</creatorcontrib><creatorcontrib>Singer, Daniel E., MD</creatorcontrib><creatorcontrib>Simon, Teresa, MPH</creatorcontrib><creatorcontrib>Liu, Xianchen, MD, PhD</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 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>Colilla, Susan, PhD, MPH</au><au>Crow, Ann, MLS</au><au>Petkun, William, MD</au><au>Singer, Daniel E., MD</au><au>Simon, Teresa, MPH</au><au>Liu, Xianchen, MD, PhD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimates of Current and Future Incidence and Prevalence of Atrial Fibrillation in the U.S. Adult Population</atitle><jtitle>The American journal of cardiology</jtitle><addtitle>Am J Cardiol</addtitle><date>2013-10-15</date><risdate>2013</risdate><volume>112</volume><issue>8</issue><spage>1142</spage><epage>1147</epage><pages>1142-1147</pages><issn>0002-9149</issn><eissn>1879-1913</eissn><coden>AJCDAG</coden><abstract>Estimates and projections of diagnosed incidence and prevalence of atrial fibrillation (AF) in the United States have been highly inconsistent across published studies. Although it is generally acknowledged that AF incidence and prevalence are increasing due to growing numbers of older people in the U.S. population, estimates of the rate of expected growth have varied widely. Reasons for these variations include differences in study design, covered time period, birth cohort, and temporal effects, as well as improvements in AF diagnosis due to increased use of diagnostic tools and health care awareness. The objective of this study was to estimate and project the incidence and prevalence of diagnosed AF in the United States out to 2030. A large health insurance claims database for the years 2001 to 2008, representing a geographically diverse 5% of the U.S. population, was used in this study. The trend and growth rate in AF incidence and prevalence was projected by a dynamic age-period cohort simulation progression model that included all diagnosed AF cases in future prevalence projections regardless of follow-up treatment, as well as those cases expected to be chronic in nature. Results from the model showed that AF incidence will double, from 1.2 million cases in 2010 to 2.6 million cases in 2030. Given this increase in incidence, AF prevalence is projected to increase from 5.2 million in 2010 to 12.1 million cases in 2030. The effect of uncertainty in model parameters was explored in deterministic and probabilistic sensitivity analyses. Variability in future trends in AF incidence and recurrence rates has the greatest impact on the projected estimates of chronic AF prevalence. It can be concluded that both incidence and prevalence of AF are likely to rise from 2010 to 2030, but there exists a wide range of uncertainty around the magnitude of future trends.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>23831166</pmid><doi>10.1016/j.amjcard.2013.05.063</doi><tpages>6</tpages></addata></record> |
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subjects | Adult Atrial Fibrillation - epidemiology Cardiovascular Estimates Female Forecasting Health insurance Humans Incidence Insurance claims Male Mortality Population Surveillance Prevalence Retrospective Studies Risk Factors Studies Survival Rate - trends United States - epidemiology Young Adult |
title | Estimates of Current and Future Incidence and Prevalence of Atrial Fibrillation in the U.S. Adult Population |
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