| Title |
A Smartphone Application to Diagnose the Mechanism of Pediatric Supraventricular Tachycardia
|
|---|---|
| Published in |
Pediatric Cardiology, May 2015
|
| DOI | 10.1007/s00246-015-1185-6 |
| Pubmed ID | |
| Authors |
Dina J. Ferdman, Leonardo Liberman, Eric S. Silver |
| Abstract |
Smartphone applications that record a single-lead ECG are increasingly available. We sought to determine the utility of a smartphone application (AliveCor) to record supraventricular tachycardia (SVT) and to distinguish atrioventricular reentrant tachycardia (AVRT) from atrioventricular nodal reentrant tachycardia (AVNRT) in pediatric patients. A prior study demonstrated that interpretation of standard event and Holter monitors accurately identifies the tachycardia mechanism in only 45 % of recordings. We performed an IRB-approved prospective study in pediatric patients undergoing an ablation for SVT. 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 sinus and tachycardia tracings in each position. Tracings with visible retrograde P waves were classified as AVRT. The three positions were compared by Chi-square test. Thirty-seven patients (age 13.7 ± 2.8 years) were enrolled in the study. Twenty-four had AVRT, and 13 had AVNRT. 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 SVT in pediatric patients and can predict the SVT mechanism at least as well as previously published reports of Holter monitors, along with the added convenience of not requiring patients to carry a dedicated monitor. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Unknown | 61 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 16% |
| Student > Bachelor | 9 | 15% |
| Student > Postgraduate | 8 | 13% |
| Other | 8 | 13% |
| Researcher | 4 | 6% |
| Other | 12 | 19% |
| Unknown | 11 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 40% |
| Computer Science | 4 | 6% |
| Engineering | 4 | 6% |
| Nursing and Health Professions | 3 | 5% |
| Psychology | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 14 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 May 2015.
All research outputs
#18,409,030
of 22,803,211 outputs
Outputs from Pediatric Cardiology
#863
of 1,413 outputs
Outputs of similar age
#191,901
of 263,961 outputs
Outputs of similar age from Pediatric Cardiology
#13
of 25 outputs
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