Differentiating origins of outflow tract ventricular arrhythmias: a comparison of three different electrocardiographic algorithms

Detalhes bibliográficos
Autor(a) principal: Jiao,Z.Y.
Data de Publicação: 2016
Outros Autores: Li,Y.B., Mao,J., Liu,X.Y., Yang,X.C., Tan,C., Chu,J.M., Liu,X.P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Medical and Biological Research
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2016000500605
Resumo: Our objective is to evaluate the accuracy of three algorithms in differentiating the origins of outflow tract ventricular arrhythmias (OTVAs). This study involved 110 consecutive patients with OTVAs for whom a standard 12-lead surface electrocardiogram (ECG) showed typical left bundle branch block morphology with an inferior axis. All the ECG tracings were retrospectively analyzed using the following three recently published ECG algorithms: 1) the transitional zone (TZ) index, 2) the V2 transition ratio, and 3) V2 R wave duration and R/S wave amplitude indices. Considering all patients, the V2 transition ratio had the highest sensitivity (92.3%), while the R wave duration and R/S wave amplitude indices in V2 had the highest specificity (93.9%). The latter finding had a maximal area under the ROC curve of 0.925. In patients with left ventricular (LV) rotation, the V2 transition ratio had the highest sensitivity (94.1%), while the R wave duration and R/S wave amplitude indices in V2 had the highest specificity (87.5%). The former finding had a maximal area under the ROC curve of 0.892. All three published ECG algorithms are effective in differentiating the origin of OTVAs, while the V2 transition ratio, and the V2 R wave duration and R/S wave amplitude indices are the most sensitive and specific algorithms, respectively. Amongst all of the patients, the V2 R wave duration and R/S wave amplitude algorithm had the maximal area under the ROC curve, but in patients with LV rotation the V2 transition ratio algorithm had the maximum area under the ROC curve.
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spelling Differentiating origins of outflow tract ventricular arrhythmias: a comparison of three different electrocardiographic algorithmsPremature ventricular contractionVentricular tachycardiaElectrocardiogramRadiofrequency catheter ablationOur objective is to evaluate the accuracy of three algorithms in differentiating the origins of outflow tract ventricular arrhythmias (OTVAs). This study involved 110 consecutive patients with OTVAs for whom a standard 12-lead surface electrocardiogram (ECG) showed typical left bundle branch block morphology with an inferior axis. All the ECG tracings were retrospectively analyzed using the following three recently published ECG algorithms: 1) the transitional zone (TZ) index, 2) the V2 transition ratio, and 3) V2 R wave duration and R/S wave amplitude indices. Considering all patients, the V2 transition ratio had the highest sensitivity (92.3%), while the R wave duration and R/S wave amplitude indices in V2 had the highest specificity (93.9%). The latter finding had a maximal area under the ROC curve of 0.925. In patients with left ventricular (LV) rotation, the V2 transition ratio had the highest sensitivity (94.1%), while the R wave duration and R/S wave amplitude indices in V2 had the highest specificity (87.5%). The former finding had a maximal area under the ROC curve of 0.892. All three published ECG algorithms are effective in differentiating the origin of OTVAs, while the V2 transition ratio, and the V2 R wave duration and R/S wave amplitude indices are the most sensitive and specific algorithms, respectively. Amongst all of the patients, the V2 R wave duration and R/S wave amplitude algorithm had the maximal area under the ROC curve, but in patients with LV rotation the V2 transition ratio algorithm had the maximum area under the ROC curve.Associação Brasileira de Divulgação Científica2016-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2016000500605Brazilian Journal of Medical and Biological Research v.49 n.5 2016reponame:Brazilian Journal of Medical and Biological Researchinstname:Associação Brasileira de Divulgação Científica (ABDC)instacron:ABDC10.1590/1414-431x20165206info:eu-repo/semantics/openAccessJiao,Z.Y.Li,Y.B.Mao,J.Liu,X.Y.Yang,X.C.Tan,C.Chu,J.M.Liu,X.P.eng2019-03-25T00:00:00Zoai:scielo:S0100-879X2016000500605Revistahttps://www.bjournal.org/https://old.scielo.br/oai/scielo-oai.phpbjournal@terra.com.br||bjournal@terra.com.br1414-431X0100-879Xopendoar:2019-03-25T00:00Brazilian Journal of Medical and Biological Research - Associação Brasileira de Divulgação Científica (ABDC)false
dc.title.none.fl_str_mv Differentiating origins of outflow tract ventricular arrhythmias: a comparison of three different electrocardiographic algorithms
title Differentiating origins of outflow tract ventricular arrhythmias: a comparison of three different electrocardiographic algorithms
spellingShingle Differentiating origins of outflow tract ventricular arrhythmias: a comparison of three different electrocardiographic algorithms
Jiao,Z.Y.
Premature ventricular contraction
Ventricular tachycardia
Electrocardiogram
Radiofrequency catheter ablation
title_short Differentiating origins of outflow tract ventricular arrhythmias: a comparison of three different electrocardiographic algorithms
title_full Differentiating origins of outflow tract ventricular arrhythmias: a comparison of three different electrocardiographic algorithms
title_fullStr Differentiating origins of outflow tract ventricular arrhythmias: a comparison of three different electrocardiographic algorithms
title_full_unstemmed Differentiating origins of outflow tract ventricular arrhythmias: a comparison of three different electrocardiographic algorithms
title_sort Differentiating origins of outflow tract ventricular arrhythmias: a comparison of three different electrocardiographic algorithms
author Jiao,Z.Y.
author_facet Jiao,Z.Y.
Li,Y.B.
Mao,J.
Liu,X.Y.
Yang,X.C.
Tan,C.
Chu,J.M.
Liu,X.P.
author_role author
author2 Li,Y.B.
Mao,J.
Liu,X.Y.
Yang,X.C.
Tan,C.
Chu,J.M.
Liu,X.P.
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Jiao,Z.Y.
Li,Y.B.
Mao,J.
Liu,X.Y.
Yang,X.C.
Tan,C.
Chu,J.M.
Liu,X.P.
dc.subject.por.fl_str_mv Premature ventricular contraction
Ventricular tachycardia
Electrocardiogram
Radiofrequency catheter ablation
topic Premature ventricular contraction
Ventricular tachycardia
Electrocardiogram
Radiofrequency catheter ablation
description Our objective is to evaluate the accuracy of three algorithms in differentiating the origins of outflow tract ventricular arrhythmias (OTVAs). This study involved 110 consecutive patients with OTVAs for whom a standard 12-lead surface electrocardiogram (ECG) showed typical left bundle branch block morphology with an inferior axis. All the ECG tracings were retrospectively analyzed using the following three recently published ECG algorithms: 1) the transitional zone (TZ) index, 2) the V2 transition ratio, and 3) V2 R wave duration and R/S wave amplitude indices. Considering all patients, the V2 transition ratio had the highest sensitivity (92.3%), while the R wave duration and R/S wave amplitude indices in V2 had the highest specificity (93.9%). The latter finding had a maximal area under the ROC curve of 0.925. In patients with left ventricular (LV) rotation, the V2 transition ratio had the highest sensitivity (94.1%), while the R wave duration and R/S wave amplitude indices in V2 had the highest specificity (87.5%). The former finding had a maximal area under the ROC curve of 0.892. All three published ECG algorithms are effective in differentiating the origin of OTVAs, while the V2 transition ratio, and the V2 R wave duration and R/S wave amplitude indices are the most sensitive and specific algorithms, respectively. Amongst all of the patients, the V2 R wave duration and R/S wave amplitude algorithm had the maximal area under the ROC curve, but in patients with LV rotation the V2 transition ratio algorithm had the maximum area under the ROC curve.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2016000500605
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2016000500605
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1414-431x20165206
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Divulgação Científica
publisher.none.fl_str_mv Associação Brasileira de Divulgação Científica
dc.source.none.fl_str_mv Brazilian Journal of Medical and Biological Research v.49 n.5 2016
reponame:Brazilian Journal of Medical and Biological Research
instname:Associação Brasileira de Divulgação Científica (ABDC)
instacron:ABDC
instname_str Associação Brasileira de Divulgação Científica (ABDC)
instacron_str ABDC
institution ABDC
reponame_str Brazilian Journal of Medical and Biological Research
collection Brazilian Journal of Medical and Biological Research
repository.name.fl_str_mv Brazilian Journal of Medical and Biological Research - Associação Brasileira de Divulgação Científica (ABDC)
repository.mail.fl_str_mv bjournal@terra.com.br||bjournal@terra.com.br
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