[Value of ventricular tachycardia score in diagnosing pre-excited tachycardia]
Wenjuan Wang1, Yu Li2, Min Zhang1
1Department of Cardiology, Third Xiangya Hospital, Central South University, Changsha 410013, China.
Objective:
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.
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