A novel automated junctional ectopic tachycardia detection tool for children with congenital heart disease

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dc.citation.firstpage302
dc.citation.issueNumber3
dc.citation.journalTitleHeart Rhythm O2
dc.citation.lastpage310
dc.citation.volumeNumber3
dc.contributor.authorWaugh, Jamie L. S.
dc.contributor.authorPatel, Raajen
dc.contributor.authorJu, Yilong
dc.contributor.authorPatel, Ankit B.
dc.contributor.authorRusin, Craig G.
dc.contributor.authorJain, Parag N.
dc.date.accessioned2022-07-06T18:09:13Z
dc.date.available2022-07-06T18:09:13Z
dc.date.issued2022
dc.description.abstractBackground Junctional ectopic tachycardia (JET) is a prevalent life-threatening arrhythmia in children with congenital heart disease (CHD), with marked resemblance to normal sinus rhythm (NSR) often leading to delay in diagnosis. Objective To develop a novel automated arrhythmia detection tool to identify JET. Methods A single-center retrospective cohort study of children with CHD was performed. Electrocardiographic (ECG) data produced by bedside monitors is captured automatically by the Sickbay platform. Based on the detection of R and P wave peaks, 2 interpretable ECG features are calculated: P prominence median and PR interval interquartile range (IQR). These features are used as input to a simple logistic regression classification model built to distinguish JET from NSR. Results This study analyzed a total of 64.5 physician-labeled hours consisting of 509,833 cardiac cycles (R-R intervals), from 40 patients with CHD. The extracted P prominence median feature is much smaller in JET compared to NSR, whereas the PR interval IQR feature is larger in JET compared to NSR. The area under the receiver operating characteristic curve for the unseen patient test cohort was 93%. Selecting a threshold of 0.73 results in a true-positive rate of 90% and a false-positive rate of 17%. Conclusion This novel arrhythmia detection tool identifies JET, using 2 distinctive features of JET in ECG—the loss of a normal P wave and PR relationship—allowing for early detection and timely intervention.
dc.identifier.citationWaugh, Jamie L. S., Patel, Raajen, Ju, Yilong, et al.. "A novel automated junctional ectopic tachycardia detection tool for children with congenital heart disease." <i>Heart Rhythm O2,</i> 3, no. 3 (2022) Elsevier: 302-310. https://doi.org/10.1016/j.hroo.2022.02.014.
dc.identifier.digital1-s2-0-S2666501822000605-main
dc.identifier.doihttps://doi.org/10.1016/j.hroo.2022.02.014
dc.identifier.urihttps://hdl.handle.net/1911/112671
dc.language.isoeng
dc.publisherElsevier
dc.rightsThis is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/).
dc.titleA novel automated junctional ectopic tachycardia detection tool for children with congenital heart disease
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
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