RV1+RV3 Index to Differentiate Idiopathic Ventricular Arrhythmias Arising From Right Ventricular Outflow Tract and Aortic Sinus of Valsalva: A Multicenter Study

Author:

Chen Ning1ORCID,Wang Lei1,Jiao Jincheng1,Ju Weizhu1,Wang Zhe1,Zou Cao2,Yi Fu3ORCID,Xiao Fangyi4,Shen Wenzhi5,Li Chengzong6ORCID,Shi Linsheng7,Chen Long8ORCID,Ji Yuan9,Wei Youquan10,Gu Kai1,Yang Gang1,Chen Hongwu1,Li Mingfang1,Liu Hailei1ORCID,Chen Minglong1ORCID

Affiliation:

1. The First Affiliated Hospital of Nanjing Medical University Nanjing China

2. The First Affiliated Hospital of Soochow University Soochow China

3. Xijing Hospital Xi’an China

4. The First Affiliated Hospital of Wenzhou Medical University Wenzhou China

5. Nanjing Drum Tower Hospital Nanjing China

6. The Affiliated Hospital of Xuzhou Medical University Xuzhou China

7. The Second Affiliated Hospital of Nantong University Nantong China

8. Zhongda Hospital Nanjing China

9. Changzhou No.2 People’s Hospital Changzhou China

10. The First Affiliated Yijishan Hospital of Wannan Medical College Wuhu China

Abstract

Background This study aimed to investigate the predictive value of parameters of every precordial lead and their combinations in differentiating between idiopathic ventricular arrhythmias (IVAs) from the right ventricular outflow tract and aortic sinus of Valsalva (ASV). Methods and Results Between March 1, 2018, and December 1, 2021, consecutive patients receiving successful ablation of right ventricular outflow tract or ASV IVAs were enrolled. The amplitude and duration of the R wave and S wave were measured in every precordial lead during IVAs. These parameters were either summed, subtracted, multiplied, or divided to create different indexes. The index with the highest area under the curve to predict ASV IVAs was developed, compared with established indexes, and validated in an independent prospective multicenter cohort. A total of 150 patients (60 men; mean age, 45.3±16.4 years) were included in the derivation cohort. The RV1+RV3 index (summed R‐wave amplitude in leads V1 and V3) had the highest area under the curve (0.942) among the established indexes. An RV1+RV3 index >1.3 mV could predict ASV IVAs with a sensitivity of 95% and a specificity of 83%. Its predictive performance was maintained in the validation cohort (N=109). In patients with V3 R/S transition, an RV1+RV3 index >1.3 mV could predict ASV IVAs, with an area under the curve of 0.892, 93% sensitivity, and 75% specificity. Conclusions The RV1+RV3 index is a simple and novel criterion that accurately differentiates between right ventricular outflow tract and ASV IVAs. Its performance outperformed established indexes, making it a valuable tool in clinical practice.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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