[Value of ventricular tachycardia score in diagnosing pre-excited tachycardia]

Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2019 Sep 28;44(9):1041-1047. doi: 10.11817/j.issn.1672-7347.2019.190139.
[Article in Chinese]

Abstract

To investigate the value of ventricular tachycardia (VT) score in diagnosing pre-excited tachycardia. Methods: Twelve-lead electrocardiograph results were obtained from 30 patients at pre-excited tachycardia attacking stage who were diagnosed by electrophysiology. We scored pre-excitation tachycardia based on the VT score. To analyze the electrocardiogram of pre-excited tachycardia using 7 diagnostic indicators of the VT score and calculate the specificity of 7 diagnostic indicators and right superior axis (-90º to ±180º), the differences were compared among VT score of 2 points and brugada, Wellens, and Vereckei algorithms in diagnosing pre-excited tachycardia. According to the specificity of Vereckei, Wellens, and Brugada algorithms, and VT scores from low to high, their prediction value and differences were analyzed. Results: Single indicator such as atrioventricular (AV) dissociation or right superior axis (-90º to ±180º) showed the highest specificity (100%) for identifying pre-excited tachycardia. No patient with VT score was ≥3 points, and the specificity was 100%. The specificity of VT score of 2 point was higher than that of Brugada, Wellens, or Vereckei algorithms in the diagnosing pre-excited tachycardia (76.7% vs 50.0%, 23.3% or 20.0%, P<0.05). The specificity of Vereckei, Wellens, and Brugada algorithms and VT score were gradually increased after each of stepwise individually eliminated VT (20.0%, 40.0%, 66.7%, 83.3%, P<0.05). However, there was no significant difference in the specificity in the remaining false positive cases between the 4 methods and VT score. Conclusion: VT score ≥3 points can identify pre-excited tachycardia and VT with 100% specificity. VT score of 2 points cannot completely distinguish pre-excited tachycardia from VT, but specificity of VT score with 2 points is obviously higher than that of Brugada, Wellens, and Vereckei algorithms.

目的:探讨室速积分法诊断预激性心动过速的临床价值。 方法:选取30例经过心内电生理检查确诊的预激性心动过速发作时的12导联心电图,首先用室速积分法对预激性心动过速进行评分,采用室速积分法的7项指标分析预激性心动过速的心电图,计算7项指标及无人区电轴的特异度;对比分析积分值为2,Brugada,Wellens及Vereckei流程法诊断预激性心动过速的差异。再依照特异度从低到高的顺序用Vereckei,Wellens及Brugada流程法,室速积分法逐步排除室性心动过速(ventricular tachycardia,VT),比较各步骤诊断预激性心动过速的差异。结果:在单项指标中,房室分离、无人区电轴特异度最高,均为100%;室速积分法分值≥3特异度为100%;室速积分法分值为2的特异度高于Brugada,Wellens或Vereckei流程法(76.7% vs 50.0%,23.3%,20.0%;均P<0.05)。用Vereckei,Wellens及Brugada流程法,室速积分法逐步排除VT后其特异度(20.0%,40.0%,66.7%,83.3%)高于单用Vereckei或前3种联合排除(P<0.001);但经4种方法排除后剩下的假阳性病例与单一用室速积分法诊断的假阳性病例比较差异无统计学意义(P>0.05)。结论:室速积分法分值≥3可完全鉴别预激性心动过速与VT。室速积分法分值为2不能完全区分预激性心动过速与VT,但其特异度明显高于Brugada,Wellens及Vereckei流程法。.

MeSH terms

  • Algorithms
  • Diagnosis, Differential
  • Electrocardiography
  • Humans
  • Sensitivity and Specificity
  • Tachycardia, Ventricular / diagnosis*