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Accuracy of algorithms to predict accessory pathway location in children with Wolff–Parkinson–White syndrome

Identifieur interne : 001650 ( Main/Corpus ); précédent : 001649; suivant : 001651

Accuracy of algorithms to predict accessory pathway location in children with Wolff–Parkinson–White syndrome

Auteurs : Christopher Wren ; Melanie Vogel ; Stephen Lord ; Dominic Abrams ; John Bourke ; Philip Rees ; Eric Rosenthal

Source :

RBID : ISTEX:3821817595BC87C721CAE24E19BDA7CAAC0A7B53

Abstract

Objective The aim of this study was to examine the accuracy in predicting pathway location in children with Wolff–Parkinson–White syndrome for each of seven published algorithms. Patients and interventions ECGs from 100 consecutive children with Wolff–Parkinson–White syndrome undergoing electrophysiological study were analysed by six investigators using seven published algorithms, six of which had been developed in adult patients. Main outcome measures Accuracy and concordance of predictions were adjusted for the number of pathway locations. Results Accessory pathways were left-sided in 49, septal in 20 and right-sided in 31 children. Overall accuracy of prediction was 30–49% for the exact location and 61–68% including adjacent locations. Concordance between investigators varied between 41% and 86%. No algorithm was better at predicting septal pathways (accuracy 5–35%, improving to 40–78% including adjacent locations), but one was significantly worse. Predictive accuracy was 24–53% for the exact location of right-sided pathways (50–71% including adjacent locations) and 32–55% for the exact location of left-sided pathways (58–73% including adjacent locations). Conclusions All algorithms were less accurate in our hands than in other authors' own assessment. None performed well in identifying midseptal or right anteroseptal accessory pathway locations.

Url:
DOI: 10.1136/heartjnl-2011-300269

Links to Exploration step

ISTEX:3821817595BC87C721CAE24E19BDA7CAAC0A7B53

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<article-title>Accuracy of algorithms to predict accessory pathway location in children with Wolff–Parkinson–White syndrome</article-title>
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<name>
<surname>Wren</surname>
<given-names>Christopher</given-names>
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<name>
<surname>Vogel</surname>
<given-names>Melanie</given-names>
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<xref ref-type="aff" rid="aff2">2</xref>
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<name>
<surname>Lord</surname>
<given-names>Stephen</given-names>
</name>
<xref ref-type="aff" rid="aff1">1</xref>
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<contrib contrib-type="author">
<name>
<surname>Abrams</surname>
<given-names>Dominic</given-names>
</name>
<xref ref-type="aff" rid="aff3">3</xref>
<xref ref-type="aff" rid="aff4">4</xref>
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<name>
<surname>Bourke</surname>
<given-names>John</given-names>
</name>
<xref ref-type="aff" rid="aff1">1</xref>
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<contrib contrib-type="author">
<name>
<surname>Rees</surname>
<given-names>Philip</given-names>
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<xref ref-type="aff" rid="aff3">3</xref>
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<name>
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<given-names>Eric</given-names>
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<label>1</label>
Freeman Hospital, Newcastle upon Tyne, UK</aff>
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<label>2</label>
Justus Liebig University, Giessen, Germany</aff>
<aff id="aff3">
<label>3</label>
Great Ormond Street Hospital, London, UK</aff>
<aff id="aff4">
<label>4</label>
St. Bartholomew's Hospital, London, UK</aff>
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Evelina Children's Hospital, London, UK</aff>
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<label>Correspondence to</label>
Dr Christopher Wren, Department of Paediatric Cardiology, Freeman Hospital, Newcastle upon Tyne NE3 5EL, UK;
<email>christopher.wren@nuth.nhs.uk</email>
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<month>9</month>
<year>2011</year>
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<day>1</day>
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<year>2012</year>
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<day>13</day>
<month>9</month>
<year>2011</year>
</pub-date>
<volume>98</volume>
<volume-id pub-id-type="other">98</volume-id>
<volume-id pub-id-type="other">98</volume-id>
<issue>3</issue>
<issue-id pub-id-type="other">heartjnl;98/3</issue-id>
<issue-id pub-id-type="other">3</issue-id>
<issue-id pub-id-type="other">98/3</issue-id>
<fpage>202</fpage>
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<day>9</day>
<month>8</month>
<year>2011</year>
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<sec>
<title>Objective</title>
<p>The aim of this study was to examine the accuracy in predicting pathway location in children with Wolff–Parkinson–White syndrome for each of seven published algorithms.</p>
</sec>
<sec>
<title>Patients and interventions</title>
<p>ECGs from 100 consecutive children with Wolff–Parkinson–White syndrome undergoing electrophysiological study were analysed by six investigators using seven published algorithms, six of which had been developed in adult patients.</p>
</sec>
<sec>
<title>Main outcome measures</title>
<p>Accuracy and concordance of predictions were adjusted for the number of pathway locations.</p>
</sec>
<sec>
<title>Results</title>
<p>Accessory pathways were left-sided in 49, septal in 20 and right-sided in 31 children. Overall accuracy of prediction was 30–49% for the exact location and 61–68% including adjacent locations. Concordance between investigators varied between 41% and 86%. No algorithm was better at predicting septal pathways (accuracy 5–35%, improving to 40–78% including adjacent locations), but one was significantly worse. Predictive accuracy was 24–53% for the exact location of right-sided pathways (50–71% including adjacent locations) and 32–55% for the exact location of left-sided pathways (58–73% including adjacent locations).</p>
</sec>
<sec>
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<p>All algorithms were less accurate in our hands than in other authors' own assessment. None performed well in identifying midseptal or right anteroseptal accessory pathway locations.</p>
</sec>
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<abstract>Objective The aim of this study was to examine the accuracy in predicting pathway location in children with Wolff–Parkinson–White syndrome for each of seven published algorithms. Patients and interventions ECGs from 100 consecutive children with Wolff–Parkinson–White syndrome undergoing electrophysiological study were analysed by six investigators using seven published algorithms, six of which had been developed in adult patients. Main outcome measures Accuracy and concordance of predictions were adjusted for the number of pathway locations. Results Accessory pathways were left-sided in 49, septal in 20 and right-sided in 31 children. Overall accuracy of prediction was 30–49% for the exact location and 61–68% including adjacent locations. Concordance between investigators varied between 41% and 86%. No algorithm was better at predicting septal pathways (accuracy 5–35%, improving to 40–78% including adjacent locations), but one was significantly worse. Predictive accuracy was 24–53% for the exact location of right-sided pathways (50–71% including adjacent locations) and 32–55% for the exact location of left-sided pathways (58–73% including adjacent locations). Conclusions All algorithms were less accurate in our hands than in other authors' own assessment. None performed well in identifying midseptal or right anteroseptal accessory pathway locations.</abstract>
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