A Smartphone Application to Diagnose the Mechanism of Pediatric XXXX .

@entity1 @entity2917 @entity591 @entity4710 @entity50
UNASSIGNED: Smartphone applications that record a single-lead ECG are increasingly available. We sought to determine the utility of a smartphone application (AliveCor) to record @entity4710 ( @entity4710 ) and to distinguish @entity2917 ( @entity2917 ) from @entity2917 ( @entity2917 ) in pediatric @entity1 . A prior study demonstrated that interpretation of standard event and Holter monitors accurately identifies the @entity591 mechanism in only 45  % of recordings. We performed an IRB-approved prospective study in pediatric @entity1 undergoing an ablation for @entity4710 . Tracings were obtained by placing the smartphone in three different positions on the chest (PI-horizontal, PII-rotated 60   clockwise, and PIII-rotated 120   clockwise). Two blinded pediatric electrophysiologists jointly analyzed a pair of @entity50 and @entity591 tracings in each position. Tracings with visible retrograde P waves were classified as @entity2917 . The three positions were compared by Chi-square test. Thirty-seven @entity1 (age 13.7      2.8  years) were enrolled in the study. Twenty-four had @entity2917 , and 13 had @entity2917 . One hundred and eight pairs of tracings were obtained. The correct diagnosis was made in 27/37 (73  %) with position PI, 28/37 (76  %) with PII, and 20/34 (59  %) with PIII (p  =  0.04 for PII vs. PIII and p  =  NS for other comparisons). A single-lead ECG obtained with a smartphone monitor can successfully record @entity4710 in pediatric @entity1 and can predict the @entity4710 mechanism at least as well as previously published reports of Holter monitors, along with the added convenience of not requiring @entity1 to carry a dedicated monitor.
