Man vs machine: Performance of manual vs automated electrocardiogram analysis for predicting the chamber of origin of idiopathic ventricular arrhythmia.

Asatryan, Babken; Ebrahimi, Ramin; Strebel, Ivo; van Dam, Peter M; Kühne, Michael; Knecht, Sven; Spies, Florian; Abächerli, Roger; Badertscher, Patrick; Kozhuharov, Nikola; Zeljkovic, Ivan; Schaer, Beat; Osswald, Stefan; Sticherling, Christian; Reichlin, Tobias (2020). Man vs machine: Performance of manual vs automated electrocardiogram analysis for predicting the chamber of origin of idiopathic ventricular arrhythmia. Journal of cardiovascular electrophysiology, 31(2), pp. 410-416. Wiley-Blackwell 10.1111/jce.14320

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BACKGROUND

Radiofrequency catheter ablation of idiopathic ventricular arrhythmias (VAs) is performed to eliminate symptoms and to prevent or reverse arrhythmia-induced cardiomyopathy. Preprocedural prediction of the chamber of VA origin is critical for patient counseling, procedure planning, and guidance of invasive mapping.

OBJECTIVE

We aimed to assess the performance of manual expert versus automated 12-lead electrocardiogram (ECG) analysis in the prediction of VA origin.

METHODS

Patients with ablation of idiopathic VA and sustained success were included. The VA origin was defined as the site where ablation caused arrhythmia suppression. Standard baseline 12-lead ECGs with documentation of the VA were analyzed manually in a blinded fashion by three electrophysiologists and three electrophysiology (EP) fellows. In addition, the same standard 12-lead ECG was analyzed by an automated computer algorithm using a vectorcardiographic approach.

RESULTS

Thirty-eight patients (median age, 47 [interquartile range, 37-58]; 68% female) were enrolled. The VA originated from the right ventricle in 24 (63%) and the left ventricle in 14 (37%) patients. The electrophysiologists and EP fellows identified the VA chamber of origin with a similar accuracy of 73% and 72% (P = .72). The automated algorithm showed a higher accuracy of 89% (P = .03 compared with electrophysiologists and EP fellows). This resulted in a sensitivity of 95% and specificity of 86%.

CONCLUSION

While the manual ECG analysis of the standard 12-lead ECG by both electrophysiologists and EP fellows correctly identified the chamber of VA origin in around 75% of cases, an automated vectorcardiographic computer algorithm achieved an accuracy of 89% with clinically acceptable diagnostic parameters.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Cardiovascular Disorders (DHGE) > Clinic of Cardiology

UniBE Contributor:

Asatryan, Babken and Reichlin, Tobias Roman

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1045-3873

Publisher:

Wiley-Blackwell

Language:

English

Submitter:

Daria Vogelsang

Date Deposited:

30 Nov 2020 10:55

Last Modified:

30 Nov 2020 10:58

Publisher DOI:

10.1111/jce.14320

PubMed ID:

31840899

Uncontrolled Keywords:

ECG catheter ablation computational prediction idiopathic ventricular arrhythmia premature ventricular complex

BORIS DOI:

10.7892/boris.147586

URI:

https://boris.unibe.ch/id/eprint/147586

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