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Rheumatic Heart Disease-Attributable Mortality at Ages 5–69 Years in Fiji: A Five-Year, National, Population-Based Record-Linkage Cohort Study

Identifieur interne : 000D34 ( Pmc/Checkpoint ); précédent : 000D33; suivant : 000D35

Rheumatic Heart Disease-Attributable Mortality at Ages 5–69 Years in Fiji: A Five-Year, National, Population-Based Record-Linkage Cohort Study

Auteurs : Tom Parks [Royaume-Uni] ; Joseph Kado [Fidji] ; Anne E. Miller [Australie] ; Brenton Ward [Australie] ; Rachel Heenan [Australie] ; Samantha M. Colquhoun [Australie] ; Till W. B Rnighausen [États-Unis] ; Mariana Mirabel [France] ; David E. Bloom [États-Unis] ; Robin L. Bailey [Royaume-Uni] ; Isimeli N. Tukana [Fidji] ; Andrew C. Steer [Australie]

Source :

RBID : PMC:4570761

Abstract

Background

Rheumatic heart disease (RHD) is considered a major public health problem in developing countries, although scarce data are available to substantiate this. Here we quantify mortality from RHD in Fiji during 2008–2012 in people aged 5–69 years.

Methods and Findings

Using 1,773,999 records derived from multiple sources of routine clinical and administrative data, we used probabilistic record-linkage to define a cohort of 2,619 persons diagnosed with RHD, observed for all-cause mortality over 11,538 person-years. Using relative survival methods, we estimated there were 378 RHD-attributable deaths, almost half of which occurred before age 40 years. Using census data as the denominator, we calculated there were 9.9 deaths (95% CI 9.8–10.0) and 331 years of life-lost (YLL, 95% CI 330.4–331.5) due to RHD per 100,000 person-years, standardised to the portion of the WHO World Standard Population aged 0–69 years. Valuing life using Fiji’s per-capita gross domestic product, we estimated these deaths cost United States Dollar $6,077,431 annually. Compared to vital registration data for 2011–2012, we calculated there were 1.6-times more RHD-attributable deaths than the number reported, and found our estimate of RHD mortality exceeded all but the five leading reported causes of premature death, based on collapsed underlying cause-of-death diagnoses.

Conclusions

Rheumatic heart disease is a leading cause of premature death as well as an important economic burden in this setting. Age-standardised death rates are more than twice those reported in current global estimates. Linkage of routine data provides an efficient tool to better define the epidemiology of neglected diseases.


Url:
DOI: 10.1371/journal.pntd.0004033
PubMed: 26371755
PubMed Central: 4570761


Affiliations:


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PMC:4570761

Le document en format XML

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<name sortKey="Mirabel, Mariana" sort="Mirabel, Mariana" uniqKey="Mirabel M" first="Mariana" last="Mirabel">Mariana Mirabel</name>
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<name sortKey="Bloom, David E" sort="Bloom, David E" uniqKey="Bloom D" first="David E." last="Bloom">David E. Bloom</name>
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<name sortKey="Bailey, Robin L" sort="Bailey, Robin L" uniqKey="Bailey R" first="Robin L." last="Bailey">Robin L. Bailey</name>
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</nlm:aff>
<country xml:lang="fr">Australie</country>
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<settlement type="city">Melbourne</settlement>
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<addr-line>Royal Children’s Hospital, Melbourne, Australia</addr-line>
</nlm:aff>
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<wicri:regionArea>Royal Children’s Hospital, Melbourne</wicri:regionArea>
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<settlement type="city">Melbourne</settlement>
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<addr-line>Centre for International Child Health, University of Melbourne, Melbourne, Australia</addr-line>
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<title>Background</title>
<p>Rheumatic heart disease (RHD) is considered a major public health problem in developing countries, although scarce data are available to substantiate this. Here we quantify mortality from RHD in Fiji during 2008–2012 in people aged 5–69 years.</p>
</sec>
<sec id="sec002">
<title>Methods and Findings</title>
<p>Using 1,773,999 records derived from multiple sources of routine clinical and administrative data, we used probabilistic record-linkage to define a cohort of 2,619 persons diagnosed with RHD, observed for all-cause mortality over 11,538 person-years. Using relative survival methods, we estimated there were 378 RHD-attributable deaths, almost half of which occurred before age 40 years. Using census data as the denominator, we calculated there were 9.9 deaths (95% CI 9.8–10.0) and 331 years of life-lost (YLL, 95% CI 330.4–331.5) due to RHD per 100,000 person-years, standardised to the portion of the WHO World Standard Population aged 0–69 years. Valuing life using Fiji’s per-capita gross domestic product, we estimated these deaths cost United States Dollar $6,077,431 annually. Compared to vital registration data for 2011–2012, we calculated there were 1.6-times more RHD-attributable deaths than the number reported, and found our estimate of RHD mortality exceeded all but the five leading reported causes of premature death, based on collapsed underlying cause-of-death diagnoses.</p>
</sec>
<sec id="sec003">
<title>Conclusions</title>
<p>Rheumatic heart disease is a leading cause of premature death as well as an important economic burden in this setting. Age-standardised death rates are more than twice those reported in current global estimates. Linkage of routine data provides an efficient tool to better define the epidemiology of neglected diseases.</p>
</sec>
</div>
</front>
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</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">PLoS Negl Trop Dis</journal-id>
<journal-id journal-id-type="iso-abbrev">PLoS Negl Trop Dis</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosntds</journal-id>
<journal-title-group>
<journal-title>PLoS Neglected Tropical Diseases</journal-title>
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<issn pub-type="ppub">1935-2727</issn>
<issn pub-type="epub">1935-2735</issn>
<publisher>
<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, CA USA</publisher-loc>
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</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">26371755</article-id>
<article-id pub-id-type="pmc">4570761</article-id>
<article-id pub-id-type="publisher-id">PNTD-D-15-01054</article-id>
<article-id pub-id-type="doi">10.1371/journal.pntd.0004033</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Rheumatic Heart Disease-Attributable Mortality at Ages 5–69 Years in Fiji: A Five-Year, National, Population-Based Record-Linkage Cohort Study</article-title>
<alt-title alt-title-type="running-head">Rheumatic Heart Disease Mortality in Fiji</alt-title>
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<sup>1</sup>
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<sup>2</sup>
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<xref ref-type="corresp" rid="cor001">*</xref>
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<sup>6</sup>
</xref>
<xref ref-type="aff" rid="aff007">
<sup>7</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff001">
<label>1</label>
<addr-line>University of Oxford, Oxford, United Kingdom</addr-line>
</aff>
<aff id="aff002">
<label>2</label>
<addr-line>London School of Hygiene and Tropical Medicine, London, United Kingdom</addr-line>
</aff>
<aff id="aff003">
<label>3</label>
<addr-line>Fiji Islands Ministry of Health, Suva, Fiji</addr-line>
</aff>
<aff id="aff004">
<label>4</label>
<addr-line>Townsville General Hospital, Douglas, Australia</addr-line>
</aff>
<aff id="aff005">
<label>5</label>
<addr-line>Murdoch Children’s Research Institute, Melbourne, Australia</addr-line>
</aff>
<aff id="aff006">
<label>6</label>
<addr-line>Royal Children’s Hospital, Melbourne, Australia</addr-line>
</aff>
<aff id="aff007">
<label>7</label>
<addr-line>Centre for International Child Health, University of Melbourne, Melbourne, Australia</addr-line>
</aff>
<aff id="aff008">
<label>8</label>
<addr-line>Harvard School of Public Health, Boston, Massachusetts, United States of America</addr-line>
</aff>
<aff id="aff009">
<label>9</label>
<addr-line>Institut National de la Santé et de la Recherche Médicale, Paris, France</addr-line>
</aff>
<contrib-group>
<contrib contrib-type="editor">
<name>
<surname>Vinetz</surname>
<given-names>Joseph M.</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"></xref>
</contrib>
</contrib-group>
<aff id="edit1">
<addr-line>University of California San Diego School of Medicine, UNITED STATES</addr-line>
</aff>
<author-notes>
<fn fn-type="COI-statement" id="coi001">
<p>I have read the journal’s policy and the authors of this manuscript have the following competing interests: TP, SMC and ACS receive research grants for research on RHD that are, in part, based on the disease’s public health importance. This does not alter our adherence to all PLOS policies on sharing data and materials. No other authors have declared a competing interest.</p>
</fn>
<fn fn-type="con" id="contrib001">
<p>Conceived and designed the experiments: TP JK SMC INT RLB ACS. Analyzed the data: TP TWB. Wrote the paper: TP JK BW RH SMC TWB MM DEB RLB INT ACS AEM. Interpreted clinic registers: AEM BW RH. Advised on interpretation of clinical and echocardiographic data: JK MM ACS. Obtained permission for use of data: TP JK INT. Carried out systematic review: TP SMC.</p>
</fn>
<corresp id="cor001">* E-mail:
<email>tomparks@well.ox.ac.uk</email>
</corresp>
</author-notes>
<pub-date pub-type="collection">
<month>9</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="epub">
<day>15</day>
<month>9</month>
<year>2015</year>
</pub-date>
<volume>9</volume>
<issue>9</issue>
<elocation-id>e0004033</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>6</month>
<year>2015</year>
</date>
<date date-type="accepted">
<day>4</day>
<month>8</month>
<year>2015</year>
</date>
</history>
<permissions>
<copyright-statement>© 2015 Parks et al</copyright-statement>
<copyright-year>2015</copyright-year>
<copyright-holder>Parks et al</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:type="simple" xlink:href="pntd.0004033.pdf"></self-uri>
<abstract>
<sec id="sec001">
<title>Background</title>
<p>Rheumatic heart disease (RHD) is considered a major public health problem in developing countries, although scarce data are available to substantiate this. Here we quantify mortality from RHD in Fiji during 2008–2012 in people aged 5–69 years.</p>
</sec>
<sec id="sec002">
<title>Methods and Findings</title>
<p>Using 1,773,999 records derived from multiple sources of routine clinical and administrative data, we used probabilistic record-linkage to define a cohort of 2,619 persons diagnosed with RHD, observed for all-cause mortality over 11,538 person-years. Using relative survival methods, we estimated there were 378 RHD-attributable deaths, almost half of which occurred before age 40 years. Using census data as the denominator, we calculated there were 9.9 deaths (95% CI 9.8–10.0) and 331 years of life-lost (YLL, 95% CI 330.4–331.5) due to RHD per 100,000 person-years, standardised to the portion of the WHO World Standard Population aged 0–69 years. Valuing life using Fiji’s per-capita gross domestic product, we estimated these deaths cost United States Dollar $6,077,431 annually. Compared to vital registration data for 2011–2012, we calculated there were 1.6-times more RHD-attributable deaths than the number reported, and found our estimate of RHD mortality exceeded all but the five leading reported causes of premature death, based on collapsed underlying cause-of-death diagnoses.</p>
</sec>
<sec id="sec003">
<title>Conclusions</title>
<p>Rheumatic heart disease is a leading cause of premature death as well as an important economic burden in this setting. Age-standardised death rates are more than twice those reported in current global estimates. Linkage of routine data provides an efficient tool to better define the epidemiology of neglected diseases.</p>
</sec>
</abstract>
<abstract abstract-type="summary">
<title>Author Summary</title>
<p>Rheumatic heart disease is the result of an abnormal immune response to the bacteria
<italic>Streptococcus pyogenes</italic>
. The disease causes permanent scarring of the heart values, which results in heart failure, stroke and early death. It primarily affects the world’s poorest and most disadvantaged populations and despite the availability of cheap and effective prevention strategies receives little attention from policy-makers and funders. One of the major difficulties has been measuring how many people die prematurely from this disease. Simply counting up deaths is highly inaccurate and so an alternate strategy was needed. Focusing on Fiji in the Western Pacific, we pulled together information from several different health databases using a process called record-linkage. We then worked out how much more frequently rheumatic heart disease patients die than you might expect when comparing them to persons of similar age, gender and ethnicity in the general population. From these data we estimate about twice as many patients were dying from the disease than had been previously suggested. Most of these deaths occurred earlier than was thought with substantial knock-on effects for the economy. On balance we think this strategy for measuring mortality is useful and robust, and it will be increasingly possible to employ it elsewhere.</p>
</abstract>
<funding-group>
<funding-statement>Funding for salaries and research costs was received from the Medical Research Council UK (Fellowship G1100449;
<ext-link ext-link-type="uri" xlink:href="http://www.mrc.ac.uk">http://www.mrc.ac.uk</ext-link>
), the British Medical Association (Josephine Lansdell Grant;
<ext-link ext-link-type="uri" xlink:href="http://www.bma.org.uk">www.bma.org.uk</ext-link>
) and the Sir Halley Stewart Trust (Research Grant;
<ext-link ext-link-type="uri" xlink:href="http://www.sirhalleystewart.org.uk">www.sirhalleystewart.org.uk</ext-link>
) awarded to TP. Additional funding for a cost of illness study was received the World Health Organisation awarded to TWB, DEB and ACS. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement>
</funding-group>
<counts>
<fig-count count="4"></fig-count>
<table-count count="1"></table-count>
<page-count count="14"></page-count>
</counts>
<custom-meta-group>
<custom-meta id="data-availability">
<meta-name>Data Availability</meta-name>
<meta-value>The authors did not generate the primary dataset which is the property of the Fiji Ministry of Health and Medical Services. Researchers wishing to access Fiji Ministry of Health data should send a request in writing to the Permanent Secretary of State for Health, Fiji Ministry of Health and Medical Services, 3rd Floor Dinem House, 88 Amy Street, PO Box 2223, Government Buildings, Suva, Fiji Islands (see also:
<ext-link ext-link-type="uri" xlink:href="http://www.health.gov.fj">http://www.health.gov.fj</ext-link>
). Use of Fiji Ministry of Health data would also be subject to approval by the Fiji National Health Research Committee.</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
<notes>
<title>Data Availability</title>
<p>The authors did not generate the primary dataset which is the property of the Fiji Ministry of Health and Medical Services. Researchers wishing to access Fiji Ministry of Health data should send a request in writing to the Permanent Secretary of State for Health, Fiji Ministry of Health and Medical Services, 3rd Floor Dinem House, 88 Amy Street, PO Box 2223, Government Buildings, Suva, Fiji Islands (see also:
<ext-link ext-link-type="uri" xlink:href="http://www.health.gov.fj">http://www.health.gov.fj</ext-link>
). Use of Fiji Ministry of Health data would also be subject to approval by the Fiji National Health Research Committee.</p>
</notes>
</front>
</pmc>
<affiliations>
<list>
<country>
<li>Australie</li>
<li>Fidji</li>
<li>France</li>
<li>Royaume-Uni</li>
<li>États-Unis</li>
</country>
<region>
<li>Angleterre</li>
<li>Grand Londres</li>
<li>Massachusetts</li>
<li>Oxfordshire</li>
<li>Victoria (État)</li>
<li>Île-de-France</li>
</region>
<settlement>
<li>Londres</li>
<li>Melbourne</li>
<li>Oxford</li>
<li>Paris</li>
</settlement>
<orgName>
<li>Université d'Oxford</li>
<li>Université de Melbourne</li>
</orgName>
</list>
<tree>
<country name="Royaume-Uni">
<region name="Angleterre">
<name sortKey="Parks, Tom" sort="Parks, Tom" uniqKey="Parks T" first="Tom" last="Parks">Tom Parks</name>
</region>
<name sortKey="Bailey, Robin L" sort="Bailey, Robin L" uniqKey="Bailey R" first="Robin L." last="Bailey">Robin L. Bailey</name>
<name sortKey="Parks, Tom" sort="Parks, Tom" uniqKey="Parks T" first="Tom" last="Parks">Tom Parks</name>
</country>
<country name="Fidji">
<noRegion>
<name sortKey="Kado, Joseph" sort="Kado, Joseph" uniqKey="Kado J" first="Joseph" last="Kado">Joseph Kado</name>
</noRegion>
<name sortKey="Tukana, Isimeli N" sort="Tukana, Isimeli N" uniqKey="Tukana I" first="Isimeli N." last="Tukana">Isimeli N. Tukana</name>
</country>
<country name="Australie">
<noRegion>
<name sortKey="Miller, Anne E" sort="Miller, Anne E" uniqKey="Miller A" first="Anne E." last="Miller">Anne E. Miller</name>
</noRegion>
<name sortKey="Colquhoun, Samantha M" sort="Colquhoun, Samantha M" uniqKey="Colquhoun S" first="Samantha M." last="Colquhoun">Samantha M. Colquhoun</name>
<name sortKey="Colquhoun, Samantha M" sort="Colquhoun, Samantha M" uniqKey="Colquhoun S" first="Samantha M." last="Colquhoun">Samantha M. Colquhoun</name>
<name sortKey="Heenan, Rachel" sort="Heenan, Rachel" uniqKey="Heenan R" first="Rachel" last="Heenan">Rachel Heenan</name>
<name sortKey="Heenan, Rachel" sort="Heenan, Rachel" uniqKey="Heenan R" first="Rachel" last="Heenan">Rachel Heenan</name>
<name sortKey="Steer, Andrew C" sort="Steer, Andrew C" uniqKey="Steer A" first="Andrew C." last="Steer">Andrew C. Steer</name>
<name sortKey="Steer, Andrew C" sort="Steer, Andrew C" uniqKey="Steer A" first="Andrew C." last="Steer">Andrew C. Steer</name>
<name sortKey="Steer, Andrew C" sort="Steer, Andrew C" uniqKey="Steer A" first="Andrew C." last="Steer">Andrew C. Steer</name>
<name sortKey="Ward, Brenton" sort="Ward, Brenton" uniqKey="Ward B" first="Brenton" last="Ward">Brenton Ward</name>
</country>
<country name="États-Unis">
<region name="Massachusetts">
<name sortKey="B Rnighausen, Till W" sort="B Rnighausen, Till W" uniqKey="B Rnighausen T" first="Till W." last="B Rnighausen">Till W. B Rnighausen</name>
</region>
<name sortKey="Bloom, David E" sort="Bloom, David E" uniqKey="Bloom D" first="David E." last="Bloom">David E. Bloom</name>
</country>
<country name="France">
<region name="Île-de-France">
<name sortKey="Mirabel, Mariana" sort="Mirabel, Mariana" uniqKey="Mirabel M" first="Mariana" last="Mirabel">Mariana Mirabel</name>
</region>
</country>
</tree>
</affiliations>
</record>

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