Prevalence of rheumatic heart disease in 4720 asymptomatic scholars from South Africa and Ethiopia
BackgroundIn Africa, screening for asymptomatic rheumatic heart disease (RHD) has been conducted in single communities using non-standardised echocardiographic criteria. The use of different diagnostic criteria has led to widely variable estimates of the prevalence of RHD in the same communities.Met...
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description | BackgroundIn Africa, screening for asymptomatic rheumatic heart disease (RHD) has been conducted in single communities using non-standardised echocardiographic criteria. The use of different diagnostic criteria has led to widely variable estimates of the prevalence of RHD in the same communities.MethodsRandomly selected school pupils, from 4 to 24 years of age in Bonteheuwel and Langa communities of Cape Town, South Africa, and Jimma, Ethiopia, respectively, were screened for RHD according to standardised evidence-based echocardiographic diagnostic criteria of the World Heart Federation (WHF).ResultsWe screened 4720 scholars. In South Africa (n=2720), 1604 (58.9%) were female and the mean age was 12.2±4.2 years. In Ethiopia (n=2000), 1012 (50.6%) were female and the mean age was 10.7±2.5 years. Echocardiographic screening revealed 55 cases of definite and borderline RHD by WHF criteria in South Africa and 61 cases in Ethiopia, corresponding to a prevalence of 20.2 cases per 1000 (95% CI 15.3 to 26.2) and 31 cases per 1000 (95% CI 23.4 to 39.0), respectively. The odds of detecting a scholar with RHD in Ethiopia were 1.5 times higher than in South Africa (OR 1.5; 95% CI 1.04 to 2.2, p=0.02). The prevalence of RHD was 27 cases per 1000 (95% CI 19.3 to 36.8) in Langa, and 12.5 cases per 1000 (95% CI 7.1 to 20.2) in Bonteheuwel. The odds of detecting a schoolchild with RHD in Langa compared with Bonteheuwel were 2.2 (OR 2.2; 95% CI 1.2 to 4.2, p=0.0071).InterpretationThere were significant differences in detecting asymptomatic RHD in school pupils of different countries and in different communities within a country in sub-Saharan Africa. The variation in the prevalence of RHD between countries and communities has important implications for the modelling of the global burden of RHD. |
doi_str_mv | 10.1136/heartjnl-2015-307444 |
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The use of different diagnostic criteria has led to widely variable estimates of the prevalence of RHD in the same communities.MethodsRandomly selected school pupils, from 4 to 24 years of age in Bonteheuwel and Langa communities of Cape Town, South Africa, and Jimma, Ethiopia, respectively, were screened for RHD according to standardised evidence-based echocardiographic diagnostic criteria of the World Heart Federation (WHF).ResultsWe screened 4720 scholars. In South Africa (n=2720), 1604 (58.9%) were female and the mean age was 12.2±4.2 years. In Ethiopia (n=2000), 1012 (50.6%) were female and the mean age was 10.7±2.5 years. Echocardiographic screening revealed 55 cases of definite and borderline RHD by WHF criteria in South Africa and 61 cases in Ethiopia, corresponding to a prevalence of 20.2 cases per 1000 (95% CI 15.3 to 26.2) and 31 cases per 1000 (95% CI 23.4 to 39.0), respectively. The odds of detecting a scholar with RHD in Ethiopia were 1.5 times higher than in South Africa (OR 1.5; 95% CI 1.04 to 2.2, p=0.02). The prevalence of RHD was 27 cases per 1000 (95% CI 19.3 to 36.8) in Langa, and 12.5 cases per 1000 (95% CI 7.1 to 20.2) in Bonteheuwel. The odds of detecting a schoolchild with RHD in Langa compared with Bonteheuwel were 2.2 (OR 2.2; 95% CI 1.2 to 4.2, p=0.0071).InterpretationThere were significant differences in detecting asymptomatic RHD in school pupils of different countries and in different communities within a country in sub-Saharan Africa. The variation in the prevalence of RHD between countries and communities has important implications for the modelling of the global burden of RHD.</description><identifier>ISSN: 1355-6037</identifier><identifier>EISSN: 1468-201X</identifier><identifier>DOI: 10.1136/heartjnl-2015-307444</identifier><identifier>PMID: 26076935</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject>Adolescent ; Age Factors ; Asymptomatic Diseases ; Cardiovascular disease ; Chi-Square Distribution ; Child ; Child, Preschool ; Chronic illnesses ; Cluster Analysis ; Ethiopia - epidemiology ; Family medical history ; Female ; Heart ; Humans ; Male ; Mass Screening - methods ; Odds Ratio ; Population ; Prevalence ; Public health ; Residence Characteristics ; Rheumatic fever ; Rheumatic Heart Disease - diagnostic imaging ; Rheumatic Heart Disease - epidemiology ; Risk Factors ; Socioeconomic Factors ; South Africa - epidemiology ; Students ; Studies ; Ultrasonic imaging ; Ultrasonography ; Young Adult</subject><ispartof>Heart (British Cardiac Society), 2015-09, Vol.101 (17), p.1389-1394</ispartof><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.</rights><rights>Copyright: 2015 Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b478t-7e1a0ad27e3c1d689ac2d4b1d1e036435d6d953481b35d65bf2255c1832323043</citedby><cites>FETCH-LOGICAL-b478t-7e1a0ad27e3c1d689ac2d4b1d1e036435d6d953481b35d65bf2255c1832323043</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://heart.bmj.com/content/101/17/1389.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttps://heart.bmj.com/content/101/17/1389.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,776,780,3182,23551,27904,27905,77348,77379</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26076935$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Engel, Mark E</creatorcontrib><creatorcontrib>Haileamlak, Abraham</creatorcontrib><creatorcontrib>Zühlke, Liesl</creatorcontrib><creatorcontrib>Lemmer, Carolina E</creatorcontrib><creatorcontrib>Nkepu, Simpiwe</creatorcontrib><creatorcontrib>van de Wall, Marnie</creatorcontrib><creatorcontrib>Daniel, Wandimu</creatorcontrib><creatorcontrib>Shung King, Maylene</creatorcontrib><creatorcontrib>Mayosi, Bongani M</creatorcontrib><title>Prevalence of rheumatic heart disease in 4720 asymptomatic scholars from South Africa and Ethiopia</title><title>Heart (British Cardiac Society)</title><addtitle>Heart</addtitle><description>BackgroundIn Africa, screening for asymptomatic rheumatic heart disease (RHD) has been conducted in single communities using non-standardised echocardiographic criteria. The use of different diagnostic criteria has led to widely variable estimates of the prevalence of RHD in the same communities.MethodsRandomly selected school pupils, from 4 to 24 years of age in Bonteheuwel and Langa communities of Cape Town, South Africa, and Jimma, Ethiopia, respectively, were screened for RHD according to standardised evidence-based echocardiographic diagnostic criteria of the World Heart Federation (WHF).ResultsWe screened 4720 scholars. In South Africa (n=2720), 1604 (58.9%) were female and the mean age was 12.2±4.2 years. In Ethiopia (n=2000), 1012 (50.6%) were female and the mean age was 10.7±2.5 years. Echocardiographic screening revealed 55 cases of definite and borderline RHD by WHF criteria in South Africa and 61 cases in Ethiopia, corresponding to a prevalence of 20.2 cases per 1000 (95% CI 15.3 to 26.2) and 31 cases per 1000 (95% CI 23.4 to 39.0), respectively. The odds of detecting a scholar with RHD in Ethiopia were 1.5 times higher than in South Africa (OR 1.5; 95% CI 1.04 to 2.2, p=0.02). The prevalence of RHD was 27 cases per 1000 (95% CI 19.3 to 36.8) in Langa, and 12.5 cases per 1000 (95% CI 7.1 to 20.2) in Bonteheuwel. The odds of detecting a schoolchild with RHD in Langa compared with Bonteheuwel were 2.2 (OR 2.2; 95% CI 1.2 to 4.2, p=0.0071).InterpretationThere were significant differences in detecting asymptomatic RHD in school pupils of different countries and in different communities within a country in sub-Saharan Africa. The variation in the prevalence of RHD between countries and communities has important implications for the modelling of the global burden of RHD.</description><subject>Adolescent</subject><subject>Age Factors</subject><subject>Asymptomatic Diseases</subject><subject>Cardiovascular disease</subject><subject>Chi-Square Distribution</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Chronic illnesses</subject><subject>Cluster Analysis</subject><subject>Ethiopia - epidemiology</subject><subject>Family medical history</subject><subject>Female</subject><subject>Heart</subject><subject>Humans</subject><subject>Male</subject><subject>Mass Screening - methods</subject><subject>Odds Ratio</subject><subject>Population</subject><subject>Prevalence</subject><subject>Public health</subject><subject>Residence Characteristics</subject><subject>Rheumatic fever</subject><subject>Rheumatic Heart Disease - diagnostic imaging</subject><subject>Rheumatic Heart Disease - epidemiology</subject><subject>Risk Factors</subject><subject>Socioeconomic Factors</subject><subject>South Africa - epidemiology</subject><subject>Students</subject><subject>Studies</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonography</subject><subject>Young Adult</subject><issn>1355-6037</issn><issn>1468-201X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkctKxTAQhoMo3t9AJODGTTVpJpcuRY4XEBRUcFfSJKU9tM0xaQXf3hyrLtwos5ghfPPB5EfoiJIzSpk4b5wO43LospxQnjEiAWAD7VIQav30splmxnkmCJM7aC_GJSEECiW20U4uiBQF47uoegjuTXduMA77GofGTb0eW4M_9di20enocDtgkDnBOr73q9HPSDSN73SIuA6-x49-Ght8UYfWaKwHixdj0_pVqw_QVq276A6_-j56vlo8Xd5kd_fXt5cXd1kFUo2ZdFQTbXPpmKFWqEKb3EJFLXWECWDcCltwBopW65lXdZ5zbqhieSoCbB-dzt5V8K-Ti2PZt9G4rtOD81MsqSJKFFKA-BuVyQeggCT05Be69FMY0iGJUunXKdAiUTBTJvgYg6vLVWh7Hd5LSsp1XOV3XOU6rnKOK60df8mnqnf2Z-k7nwScz0DVL_-n_ABjG5_g</recordid><startdate>20150901</startdate><enddate>20150901</enddate><creator>Engel, Mark E</creator><creator>Haileamlak, Abraham</creator><creator>Zühlke, Liesl</creator><creator>Lemmer, Carolina E</creator><creator>Nkepu, Simpiwe</creator><creator>van de Wall, Marnie</creator><creator>Daniel, Wandimu</creator><creator>Shung King, Maylene</creator><creator>Mayosi, Bongani M</creator><general>BMJ Publishing Group LTD</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>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>20150901</creationdate><title>Prevalence of rheumatic heart disease in 4720 asymptomatic scholars from South Africa and Ethiopia</title><author>Engel, Mark E ; Haileamlak, Abraham ; Zühlke, Liesl ; Lemmer, Carolina E ; Nkepu, Simpiwe ; van de Wall, Marnie ; Daniel, Wandimu ; Shung King, Maylene ; Mayosi, Bongani M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b478t-7e1a0ad27e3c1d689ac2d4b1d1e036435d6d953481b35d65bf2255c1832323043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adolescent</topic><topic>Age Factors</topic><topic>Asymptomatic Diseases</topic><topic>Cardiovascular disease</topic><topic>Chi-Square Distribution</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Chronic illnesses</topic><topic>Cluster Analysis</topic><topic>Ethiopia - epidemiology</topic><topic>Family medical history</topic><topic>Female</topic><topic>Heart</topic><topic>Humans</topic><topic>Male</topic><topic>Mass Screening - methods</topic><topic>Odds Ratio</topic><topic>Population</topic><topic>Prevalence</topic><topic>Public health</topic><topic>Residence Characteristics</topic><topic>Rheumatic fever</topic><topic>Rheumatic Heart Disease - diagnostic imaging</topic><topic>Rheumatic Heart Disease - epidemiology</topic><topic>Risk Factors</topic><topic>Socioeconomic Factors</topic><topic>South Africa - epidemiology</topic><topic>Students</topic><topic>Studies</topic><topic>Ultrasonic imaging</topic><topic>Ultrasonography</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Engel, Mark E</creatorcontrib><creatorcontrib>Haileamlak, Abraham</creatorcontrib><creatorcontrib>Zühlke, Liesl</creatorcontrib><creatorcontrib>Lemmer, Carolina E</creatorcontrib><creatorcontrib>Nkepu, Simpiwe</creatorcontrib><creatorcontrib>van de Wall, Marnie</creatorcontrib><creatorcontrib>Daniel, Wandimu</creatorcontrib><creatorcontrib>Shung King, Maylene</creatorcontrib><creatorcontrib>Mayosi, Bongani M</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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science 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 Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Heart (British Cardiac Society)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Engel, Mark E</au><au>Haileamlak, Abraham</au><au>Zühlke, Liesl</au><au>Lemmer, Carolina E</au><au>Nkepu, Simpiwe</au><au>van de Wall, Marnie</au><au>Daniel, Wandimu</au><au>Shung King, Maylene</au><au>Mayosi, Bongani M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence of rheumatic heart disease in 4720 asymptomatic scholars from South Africa and Ethiopia</atitle><jtitle>Heart (British Cardiac Society)</jtitle><addtitle>Heart</addtitle><date>2015-09-01</date><risdate>2015</risdate><volume>101</volume><issue>17</issue><spage>1389</spage><epage>1394</epage><pages>1389-1394</pages><issn>1355-6037</issn><eissn>1468-201X</eissn><abstract>BackgroundIn Africa, screening for asymptomatic rheumatic heart disease (RHD) has been conducted in single communities using non-standardised echocardiographic criteria. The use of different diagnostic criteria has led to widely variable estimates of the prevalence of RHD in the same communities.MethodsRandomly selected school pupils, from 4 to 24 years of age in Bonteheuwel and Langa communities of Cape Town, South Africa, and Jimma, Ethiopia, respectively, were screened for RHD according to standardised evidence-based echocardiographic diagnostic criteria of the World Heart Federation (WHF).ResultsWe screened 4720 scholars. In South Africa (n=2720), 1604 (58.9%) were female and the mean age was 12.2±4.2 years. In Ethiopia (n=2000), 1012 (50.6%) were female and the mean age was 10.7±2.5 years. Echocardiographic screening revealed 55 cases of definite and borderline RHD by WHF criteria in South Africa and 61 cases in Ethiopia, corresponding to a prevalence of 20.2 cases per 1000 (95% CI 15.3 to 26.2) and 31 cases per 1000 (95% CI 23.4 to 39.0), respectively. The odds of detecting a scholar with RHD in Ethiopia were 1.5 times higher than in South Africa (OR 1.5; 95% CI 1.04 to 2.2, p=0.02). The prevalence of RHD was 27 cases per 1000 (95% CI 19.3 to 36.8) in Langa, and 12.5 cases per 1000 (95% CI 7.1 to 20.2) in Bonteheuwel. The odds of detecting a schoolchild with RHD in Langa compared with Bonteheuwel were 2.2 (OR 2.2; 95% CI 1.2 to 4.2, p=0.0071).InterpretationThere were significant differences in detecting asymptomatic RHD in school pupils of different countries and in different communities within a country in sub-Saharan Africa. The variation in the prevalence of RHD between countries and communities has important implications for the modelling of the global burden of RHD.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>26076935</pmid><doi>10.1136/heartjnl-2015-307444</doi><tpages>6</tpages></addata></record> |
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subjects | Adolescent Age Factors Asymptomatic Diseases Cardiovascular disease Chi-Square Distribution Child Child, Preschool Chronic illnesses Cluster Analysis Ethiopia - epidemiology Family medical history Female Heart Humans Male Mass Screening - methods Odds Ratio Population Prevalence Public health Residence Characteristics Rheumatic fever Rheumatic Heart Disease - diagnostic imaging Rheumatic Heart Disease - epidemiology Risk Factors Socioeconomic Factors South Africa - epidemiology Students Studies Ultrasonic imaging Ultrasonography Young Adult |
title | Prevalence of rheumatic heart disease in 4720 asymptomatic scholars from South Africa and Ethiopia |
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