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Intensity of human prion disease surveillance predicts observed disease incidence

Identifieur interne : 004899 ( Main/Exploration ); précédent : 004898; suivant : 004900

Intensity of human prion disease surveillance predicts observed disease incidence

Auteurs : Genevieve M J A. Klug [Australie] ; Handan Wand [Australie] ; Marion Simpson [Australie] ; Alison Boyd [Australie] ; Matthew Law [Australie] ; Colin L. Masters [Australie] ; Radoslav Mat J [République tchèque] ; Rachel Howley [Irlande (pays)] ; Michael Farrell [Irlande (pays)] ; Maren Breithaupt [Allemagne] ; Inga Zerr [Allemagne] ; Cornelia Van Duijn [Pays-Bas] ; Carla Ibrahim-Verbaas [Pays-Bas] ; Jan Mackenzie [Royaume-Uni] ; Robert G. Will [Royaume-Uni] ; Jean-Philippe Brandel [France] ; Annick Alperovitch [France] ; Herbert Budka [Autriche] ; Gabor G. Kovacs [Autriche, Hongrie] ; Gerard H. Jansen [Canada] ; Michael Coulthard [Canada] ; Steven J. Collins [Australie]

Source :

RBID : ISTEX:72132177C19358AE38955BC0D8FF7DA99580FBC2

Descripteurs français

English descriptors

Abstract

Background Prospective national screening and surveillance programmes serve a range of public health functions. Objectively determining their adequacy and impact on disease may be problematic for rare disorders. We undertook to assess whether objective measures of disease surveillance intensity could be developed for the rare disorder sporadic Creutzfeldt–Jakob disease (CJD) and whether such measures correlate with disease incidence. Method From 10 countries with national human prion disease surveillance centres, the annual number of suspected prion disease cases notified to each national unit (n=17 610), referrals for cerebrospinal fluid (CSF) 14-3-3 protein diagnostic testing (n=28 780) and the number of suspect cases undergoing diagnostic neuropathological examination (n=4885) from 1993 to 2006 were collected. Age and survey year adjusted incidence rate ratios with 95% CIs were estimated using Poisson regression models to assess risk factors for sporadic, non-sporadic and all prion disease cases. Results Age and survey year adjusted analysis showed all three surveillance intensity measures (suspected human prion disease notifications, 14-3-3 protein diagnostic test referrals and neuropathological examinations of suspect cases) significantly predicted the incidence of sporadic CJD, non-sporadic CJD and all prion disease. Conclusions Routine national surveillance methods adjusted as population rates allow objective determination of surveillance intensity, which correlates positively with reported incidence for human prion disease, especially sporadic CJD, largely independent of national context. The predictive relationship between surveillance intensity and disease incidence should facilitate more rapid delineation of aberrations in disease occurrence and assessment of the adequacy of disease monitoring by national registries.

Url:
DOI: 10.1136/jnnp-2012-304820


Affiliations:


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Le document en format XML

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<term>Neuropathology</term>
<term>Neurosurg</term>
<term>Numerical predominance</term>
<term>Objective determination</term>
<term>Objective measures</term>
<term>Other countries</term>
<term>Outcome variables</term>
<term>Policy research programme</term>
<term>Population interrogation rates</term>
<term>Population rates</term>
<term>Population sizes</term>
<term>Predictive relationship</term>
<term>Predictor</term>
<term>Predictor variables</term>
<term>Prion</term>
<term>Prion disease</term>
<term>Prion disease cases</term>
<term>Prion disease groups</term>
<term>Prion disease incidence</term>
<term>Prion disease referrals</term>
<term>Prion disease registry</term>
<term>Prion diseases</term>
<term>Prion diseases program</term>
<term>Probable cases</term>
<term>Professor steven</term>
<term>Programme</term>
<term>Protein detection</term>
<term>Protein detection referrals</term>
<term>Protein testing</term>
<term>Public health</term>
<term>Public health agency</term>
<term>Rare disorders</term>
<term>Referral</term>
<term>Referrals neuropathology</term>
<term>Sporadic</term>
<term>Sporadic disease</term>
<term>Study period</term>
<term>Study timeframe</term>
<term>Surveillance</term>
<term>Surveillance centres</term>
<term>Surveillance intensity</term>
<term>Surveillance methods</term>
<term>Surveillance network</term>
<term>Surveillance programmes</term>
<term>Surveillance unit</term>
<term>Survey year</term>
<term>Test referrals</term>
</keywords>
<keywords scheme="Teeft" xml:lang="en">
<term>Annual number</term>
<term>Australian commonwealth department</term>
<term>Austrian reference center</term>
<term>Breast cancer</term>
<term>Centre</term>
<term>Cochrane database syst</term>
<term>Colorectal cancer</term>
<term>Consequent impact</term>
<term>Czech</term>
<term>Czech republic</term>
<term>Disease incidence</term>
<term>Disease monitoring</term>
<term>Disease occurrence</term>
<term>Disease registry</term>
<term>Draft preparation</term>
<term>Generous support</term>
<term>Gmja</term>
<term>Human prion disease</term>
<term>Human prion diseases</term>
<term>Iatrogenic prion disease</term>
<term>Incidence</term>
<term>Incidence rate ratios</term>
<term>Incidence rates</term>
<term>Kirby institute</term>
<term>Klug</term>
<term>Klug gmja</term>
<term>National context</term>
<term>National crude</term>
<term>National data</term>
<term>National reference laboratory</term>
<term>National registries</term>
<term>National screening</term>
<term>National surveillance</term>
<term>National surveillance centre</term>
<term>National surveillance centres</term>
<term>National surveillance units</term>
<term>Negative association</term>
<term>Neurol</term>
<term>Neurol neurosurg psychiatry</term>
<term>Neurol neurosurg psychiatry neurodegeneration</term>
<term>Neuropathological</term>
<term>Neuropathological assessment</term>
<term>Neuropathological examination</term>
<term>Neuropathological examinations</term>
<term>Neuropathology</term>
<term>Neurosurg</term>
<term>Numerical predominance</term>
<term>Objective determination</term>
<term>Objective measures</term>
<term>Other countries</term>
<term>Outcome variables</term>
<term>Policy research programme</term>
<term>Population interrogation rates</term>
<term>Population rates</term>
<term>Population sizes</term>
<term>Predictive relationship</term>
<term>Predictor</term>
<term>Predictor variables</term>
<term>Prion</term>
<term>Prion disease</term>
<term>Prion disease cases</term>
<term>Prion disease groups</term>
<term>Prion disease incidence</term>
<term>Prion disease referrals</term>
<term>Prion disease registry</term>
<term>Prion diseases</term>
<term>Prion diseases program</term>
<term>Probable cases</term>
<term>Professor steven</term>
<term>Programme</term>
<term>Protein detection</term>
<term>Protein detection referrals</term>
<term>Protein testing</term>
<term>Public health</term>
<term>Public health agency</term>
<term>Rare disorders</term>
<term>Referral</term>
<term>Referrals neuropathology</term>
<term>Sporadic</term>
<term>Sporadic disease</term>
<term>Study period</term>
<term>Study timeframe</term>
<term>Surveillance</term>
<term>Surveillance centres</term>
<term>Surveillance intensity</term>
<term>Surveillance methods</term>
<term>Surveillance network</term>
<term>Surveillance programmes</term>
<term>Surveillance unit</term>
<term>Survey year</term>
<term>Test referrals</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr">
<term>Santé publique</term>
<term>Garde à vue</term>
</keywords>
</textClass>
<langUsage>
<language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front>
<div type="abstract">Background Prospective national screening and surveillance programmes serve a range of public health functions. Objectively determining their adequacy and impact on disease may be problematic for rare disorders. We undertook to assess whether objective measures of disease surveillance intensity could be developed for the rare disorder sporadic Creutzfeldt–Jakob disease (CJD) and whether such measures correlate with disease incidence. Method From 10 countries with national human prion disease surveillance centres, the annual number of suspected prion disease cases notified to each national unit (n=17 610), referrals for cerebrospinal fluid (CSF) 14-3-3 protein diagnostic testing (n=28 780) and the number of suspect cases undergoing diagnostic neuropathological examination (n=4885) from 1993 to 2006 were collected. Age and survey year adjusted incidence rate ratios with 95% CIs were estimated using Poisson regression models to assess risk factors for sporadic, non-sporadic and all prion disease cases. Results Age and survey year adjusted analysis showed all three surveillance intensity measures (suspected human prion disease notifications, 14-3-3 protein diagnostic test referrals and neuropathological examinations of suspect cases) significantly predicted the incidence of sporadic CJD, non-sporadic CJD and all prion disease. Conclusions Routine national surveillance methods adjusted as population rates allow objective determination of surveillance intensity, which correlates positively with reported incidence for human prion disease, especially sporadic CJD, largely independent of national context. The predictive relationship between surveillance intensity and disease incidence should facilitate more rapid delineation of aberrations in disease occurrence and assessment of the adequacy of disease monitoring by national registries.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>Allemagne</li>
<li>Australie</li>
<li>Autriche</li>
<li>Canada</li>
<li>France</li>
<li>Hongrie</li>
<li>Irlande (pays)</li>
<li>Pays-Bas</li>
<li>Royaume-Uni</li>
<li>République tchèque</li>
</country>
<region>
<li>Basse-Saxe</li>
<li>Bohême centrale</li>
<li>Hollande-Méridionale</li>
<li>Hongrie centrale</li>
<li>Victoria (État)</li>
<li>Vienne (Autriche)</li>
<li>Écosse</li>
</region>
<settlement>
<li>Budapest</li>
<li>Göttingen</li>
<li>Melbourne</li>
<li>Prague</li>
<li>Rotterdam</li>
<li>Vienne (Autriche)</li>
<li>Édimbourg</li>
</settlement>
<orgName>
<li>Université d'Édimbourg</li>
<li>Université de Melbourne</li>
</orgName>
</list>
<tree>
<country name="Australie">
<region name="Victoria (État)">
<name sortKey="Klug, Genevieve M J A" sort="Klug, Genevieve M J A" uniqKey="Klug G" first="Genevieve M J A" last="Klug">Genevieve M J A. Klug</name>
</region>
<name sortKey="Boyd, Alison" sort="Boyd, Alison" uniqKey="Boyd A" first="Alison" last="Boyd">Alison Boyd</name>
<name sortKey="Boyd, Alison" sort="Boyd, Alison" uniqKey="Boyd A" first="Alison" last="Boyd">Alison Boyd</name>
<name sortKey="Collins, Steven J" sort="Collins, Steven J" uniqKey="Collins S" first="Steven J" last="Collins">Steven J. Collins</name>
<name sortKey="Collins, Steven J" sort="Collins, Steven J" uniqKey="Collins S" first="Steven J" last="Collins">Steven J. Collins</name>
<name sortKey="Klug, Genevieve M J A" sort="Klug, Genevieve M J A" uniqKey="Klug G" first="Genevieve M J A" last="Klug">Genevieve M J A. Klug</name>
<name sortKey="Law, Matthew" sort="Law, Matthew" uniqKey="Law M" first="Matthew" last="Law">Matthew Law</name>
<name sortKey="Masters, Colin L" sort="Masters, Colin L" uniqKey="Masters C" first="Colin L" last="Masters">Colin L. Masters</name>
<name sortKey="Masters, Colin L" sort="Masters, Colin L" uniqKey="Masters C" first="Colin L" last="Masters">Colin L. Masters</name>
<name sortKey="Simpson, Marion" sort="Simpson, Marion" uniqKey="Simpson M" first="Marion" last="Simpson">Marion Simpson</name>
<name sortKey="Wand, Handan" sort="Wand, Handan" uniqKey="Wand H" first="Handan" last="Wand">Handan Wand</name>
</country>
<country name="République tchèque">
<region name="Bohême centrale">
<name sortKey="Mat J, Radoslav" sort="Mat J, Radoslav" uniqKey="Mat J R" first="Radoslav" last="Mat J">Radoslav Mat J</name>
</region>
</country>
<country name="Irlande (pays)">
<noRegion>
<name sortKey="Howley, Rachel" sort="Howley, Rachel" uniqKey="Howley R" first="Rachel" last="Howley">Rachel Howley</name>
</noRegion>
<name sortKey="Farrell, Michael" sort="Farrell, Michael" uniqKey="Farrell M" first="Michael" last="Farrell">Michael Farrell</name>
</country>
<country name="Allemagne">
<region name="Basse-Saxe">
<name sortKey="Breithaupt, Maren" sort="Breithaupt, Maren" uniqKey="Breithaupt M" first="Maren" last="Breithaupt">Maren Breithaupt</name>
</region>
<name sortKey="Zerr, Inga" sort="Zerr, Inga" uniqKey="Zerr I" first="Inga" last="Zerr">Inga Zerr</name>
</country>
<country name="Pays-Bas">
<region name="Hollande-Méridionale">
<name sortKey="Van Duijn, Cornelia" sort="Van Duijn, Cornelia" uniqKey="Van Duijn C" first="Cornelia" last="Van Duijn">Cornelia Van Duijn</name>
</region>
<name sortKey="Ibrahim Verbaas, Carla" sort="Ibrahim Verbaas, Carla" uniqKey="Ibrahim Verbaas C" first="Carla" last="Ibrahim-Verbaas">Carla Ibrahim-Verbaas</name>
<name sortKey="Ibrahim Verbaas, Carla" sort="Ibrahim Verbaas, Carla" uniqKey="Ibrahim Verbaas C" first="Carla" last="Ibrahim-Verbaas">Carla Ibrahim-Verbaas</name>
</country>
<country name="Royaume-Uni">
<region name="Écosse">
<name sortKey="Mackenzie, Jan" sort="Mackenzie, Jan" uniqKey="Mackenzie J" first="Jan" last="Mackenzie">Jan Mackenzie</name>
</region>
<name sortKey="Will, Robert G" sort="Will, Robert G" uniqKey="Will R" first="Robert G" last="Will">Robert G. Will</name>
</country>
<country name="France">
<noRegion>
<name sortKey="Brandel, Jean Philippe" sort="Brandel, Jean Philippe" uniqKey="Brandel J" first="Jean-Philippe" last="Brandel">Jean-Philippe Brandel</name>
</noRegion>
<name sortKey="Alperovitch, Annick" sort="Alperovitch, Annick" uniqKey="Alperovitch A" first="Annick" last="Alperovitch">Annick Alperovitch</name>
</country>
<country name="Autriche">
<region name="Vienne (Autriche)">
<name sortKey="Budka, Herbert" sort="Budka, Herbert" uniqKey="Budka H" first="Herbert" last="Budka">Herbert Budka</name>
</region>
<name sortKey="Kovacs, Gabor G" sort="Kovacs, Gabor G" uniqKey="Kovacs G" first="Gabor G" last="Kovacs">Gabor G. Kovacs</name>
</country>
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<region name="Hongrie centrale">
<name sortKey="Kovacs, Gabor G" sort="Kovacs, Gabor G" uniqKey="Kovacs G" first="Gabor G" last="Kovacs">Gabor G. Kovacs</name>
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</country>
<country name="Canada">
<noRegion>
<name sortKey="Jansen, Gerard H" sort="Jansen, Gerard H" uniqKey="Jansen G" first="Gerard H" last="Jansen">Gerard H. Jansen</name>
</noRegion>
<name sortKey="Coulthard, Michael" sort="Coulthard, Michael" uniqKey="Coulthard M" first="Michael" last="Coulthard">Michael Coulthard</name>
</country>
</tree>
</affiliations>
</record>

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