Qiong Chen1, Jinyi Xu2, Carola Gianni3, Chintan Trivedi3, Domenico G Della Rocca3, Mohamed Bassiouny3, Ugur Canpolat4, Alfredo Chauca Tapia3, J David Burkhardt3, Javier E Sanchez3, Patrick Hranitzky3, G Joseph Gallinghouse3, Amin Al-Ahmad3, Rodney Horton3, Luigi Di Biase5, Sanghamitra Mohanty6, Andrea Natale7. 1. Department of Cardiopulmonary Function Test, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China; Texas Cardiac Arrhythmia Institute, St. David's Medical Center, Austin, Texas. 2. Department of Cardiopulmonary Function Test, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China. 3. Texas Cardiac Arrhythmia Institute, St. David's Medical Center, Austin, Texas. 4. Texas Cardiac Arrhythmia Institute, St. David's Medical Center, Austin, Texas; Hacettepe University Faculty of Medicine, Department of Cardiology, Ankara, Turkey. 5. Texas Cardiac Arrhythmia Institute, St. David's Medical Center, Austin, Texas; Albert Einstein College of Medicine at Montefiore Hospital, New York, New York. 6. Texas Cardiac Arrhythmia Institute, St. David's Medical Center, Austin, Texas; Dell Medical School, Austin, Texas. 7. Texas Cardiac Arrhythmia Institute, St. David's Medical Center, Austin, Texas; Dell Medical School, Austin, Texas; Interventional Electrophysiology, Scripps Clinic, San Diego, California; Metro Health Medical Center, Case Western Reserve University School of Medicine, Cleveland, Ohio; Division of Cardiology, Stanford University, Stanford, California. Electronic address: dr.natale@gmail.com.
Abstract
BACKGROUND: The electrocardiogram (ECG) is essential for the differential diagnosis of wide QRS complex tachycardia (WCT). OBJECTIVE: The purpose of this study was to evaluate the diagnostic value of a novel ECG algorithm on the basis of the morphological characteristics of the QRS on the limb leads. METHODS: The limb lead algorithm (LLA) was evaluated by analyzing 528 monomorphic WCTs with electrophysiology-confirmed diagnoses. In the LLA, ventricular tachycardia (VT) is diagnosed in the presence of at least 1 of the following: (1) monophasic R wave in lead aVR; (2) predominantly negative QRS in leads I, II, and III; and (3) opposing QRS complex in the limb leads: concordant monophasic QRS in all 3 inferior leads and concordant monophasic QRS in 2 or 3 of the remaining limb leads with a polarity opposite to that of the inferior leads. The diagnostic performance of the LLA was compared with that of the Brugada, Vereckei, and R-wave peak time (RWPT) algorithms. RESULTS: Of 528 WCT cases, 397 were VT and 131 supraventricular tachycardia. The interobserver agreement for the LLA was excellent (κ = 0.98), better than that for the other algorithms. The overall accuracy of the LLA (88.1%) was similar to that of Brugada (85.4%) and Vereckei (88.1%) algorithms but was higher than that of the RWPT algorithm (70.8%). The LLA had a lower sensitivity (87.2%) than did Brugada (94.0%) and Vereckei (92.4%) algorithms, but not the RWPT algorithm (67.8%). Furthermore, the LLA showed a higher specificity (90.8%) than did Brugada (59.5%), Vereckei (76.3%), and RWPT (80.2%) algorithms. CONCLUSION: The LLA is a simple yet accurate method to diagnose VT when approaching WCTs on the ECG.
BACKGROUND: The electrocardiogram (ECG) is essential for the differential diagnosis of wide QRS complex tachycardia (WCT). OBJECTIVE: The purpose of this study was to evaluate the diagnostic value of a novel ECG algorithm on the basis of the morphological characteristics of the QRS on the limb leads. METHODS: The limb lead algorithm (LLA) was evaluated by analyzing 528 monomorphic WCTs with electrophysiology-confirmed diagnoses. In the LLA, ventricular tachycardia (VT) is diagnosed in the presence of at least 1 of the following: (1) monophasic R wave in lead aVR; (2) predominantly negative QRS in leads I, II, and III; and (3) opposing QRS complex in the limb leads: concordant monophasic QRS in all 3 inferior leads and concordant monophasic QRS in 2 or 3 of the remaining limb leads with a polarity opposite to that of the inferior leads. The diagnostic performance of the LLA was compared with that of the Brugada, Vereckei, and R-wave peak time (RWPT) algorithms. RESULTS: Of 528 WCT cases, 397 were VT and 131 supraventricular tachycardia. The interobserver agreement for the LLA was excellent (κ = 0.98), better than that for the other algorithms. The overall accuracy of the LLA (88.1%) was similar to that of Brugada (85.4%) and Vereckei (88.1%) algorithms but was higher than that of the RWPT algorithm (70.8%). The LLA had a lower sensitivity (87.2%) than did Brugada (94.0%) and Vereckei (92.4%) algorithms, but not the RWPT algorithm (67.8%). Furthermore, the LLA showed a higher specificity (90.8%) than did Brugada (59.5%), Vereckei (76.3%), and RWPT (80.2%) algorithms. CONCLUSION: The LLA is a simple yet accurate method to diagnose VT when approaching WCTs on the ECG.
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