The First Affiliated Hospital of Nanjing Medical University Nanjing China.
The First Affiliated Hospital of Soochow University Soochow China.
J Am Heart Assoc. 2024 Apr 2;13(7):e033779. doi: 10.1161/JAHA.123.033779. Epub 2024 Mar 27.
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).
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.
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.
本研究旨在探讨各胸前导联参数及其组合在鉴别特发性右室流出道(RVOT)和主动脉窦部(ASV)室性心律失常(VA)中的预测价值。
2018 年 3 月 1 日至 2021 年 12 月 1 日期间,连续入组接受 RVOT 或 ASV VA 消融成功的患者。在 VA 期间测量各胸前导联的 R 波和 S 波振幅和持续时间。将这些参数相加、相减、相乘或相除,以创建不同的指数。开发出预测 ASV VA 的曲线下面积最高的指数,并与既定指数进行比较,并在独立的前瞻性多中心队列中进行验证。共有 150 例患者(60 例男性;平均年龄 45.3±16.4 岁)纳入推导队列。在既定指数中,RV1+RV3 指数(V1 和 V3 导联 R 波振幅之和)的曲线下面积最高(0.942)。RV1+RV3 指数>1.3 mV 可预测 ASV VA,敏感性为 95%,特异性为 83%。其预测性能在验证队列(N=109)中得到维持。在 V3 R/S 转换的患者中,RV1+RV3 指数>1.3 mV 可预测 ASV VA,曲线下面积为 0.892,敏感性为 93%,特异性为 75%。
RV1+RV3 指数是一种简单而新颖的标准,可准确区分 RVOT 和 ASV VA。其性能优于既定指数,使其成为临床实践中的有价值工具。