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.
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.
Authors: Robert H Anderson; Diane E Spicer; Anthony J Hlavacek; Alex Hill; Marios Loukas Journal: J Cardiovasc Transl Res Date: 2012-12-08 Impact factor: 4.132
Authors: Lea Melki; Christopher S Grubb; Rachel Weber; Pierre Nauleau; Hasan Garan; Elaine Wan; Eric S Silver; Leonardo Liberman; Elisa E Konofagou Journal: JACC Clin Electrophysiol Date: 2019-01-30