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

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 m...

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Autores principales: Jiao, Z.Y., Li, Y.B., Mao, J., Liu, X.Y., Yang, X.C., Tan, C., Chu, J.M., Liu, X.P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Associação Brasileira de Divulgação Científica 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4855996/
https://www.ncbi.nlm.nih.gov/pubmed/27143173
http://dx.doi.org/10.1590/1414-431X20165206
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author Jiao, Z.Y.
Li, Y.B.
Mao, J.
Liu, X.Y.
Yang, X.C.
Tan, C.
Chu, J.M.
Liu, X.P.
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_sort Jiao, Z.Y.
collection PubMed
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 V(2) transition ratio, and 3) V(2) R wave duration and R/S wave amplitude indices. Considering all patients, the V(2) transition ratio had the highest sensitivity (92.3%), while the R wave duration and R/S wave amplitude indices in V(2) 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 V(2) transition ratio had the highest sensitivity (94.1%), while the R wave duration and R/S wave amplitude indices in V(2) 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 V(2) transition ratio, and the V(2) R wave duration and R/S wave amplitude indices are the most sensitive and specific algorithms, respectively. Amongst all of the patients, the V(2) R wave duration and R/S wave amplitude algorithm had the maximal area under the ROC curve, but in patients with LV rotation the V(2) transition ratio algorithm had the maximum area under the ROC curve.
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spelling pubmed-48559962016-05-09 Differentiating origins of outflow tract ventricular arrhythmias: a comparison of three different electrocardiographic algorithms Jiao, Z.Y. Li, Y.B. Mao, J. Liu, X.Y. Yang, X.C. Tan, C. Chu, J.M. Liu, X.P. Braz J Med Biol Res Biomedical Sciences 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 V(2) transition ratio, and 3) V(2) R wave duration and R/S wave amplitude indices. Considering all patients, the V(2) transition ratio had the highest sensitivity (92.3%), while the R wave duration and R/S wave amplitude indices in V(2) 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 V(2) transition ratio had the highest sensitivity (94.1%), while the R wave duration and R/S wave amplitude indices in V(2) 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 V(2) transition ratio, and the V(2) R wave duration and R/S wave amplitude indices are the most sensitive and specific algorithms, respectively. Amongst all of the patients, the V(2) R wave duration and R/S wave amplitude algorithm had the maximal area under the ROC curve, but in patients with LV rotation the V(2) transition ratio algorithm had the maximum area under the ROC curve. Associação Brasileira de Divulgação Científica 2016-04-29 /pmc/articles/PMC4855996/ /pubmed/27143173 http://dx.doi.org/10.1590/1414-431X20165206 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Biomedical Sciences
Jiao, Z.Y.
Li, Y.B.
Mao, J.
Liu, X.Y.
Yang, X.C.
Tan, C.
Chu, J.M.
Liu, X.P.
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
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_short 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
topic Biomedical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4855996/
https://www.ncbi.nlm.nih.gov/pubmed/27143173
http://dx.doi.org/10.1590/1414-431X20165206
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