BMC cardiovascular disorders · 2025
Effective discrimination of wide QRS complex tachycardia with a new algorithm - the Prelocalization Series Algorithm.
СтатьяСравнительное исследованиеПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Ni Honglin, Huang Yue, Pan Xiaowei, Zhang Xiaoli, Wan Zhiyong, Zhai Changlin, Pan Haihua
Аннотация
BACKGROUND: Electrocardiogram (ECG) plays a crucial role in the correct diagnosis of wide QRS complex tachycardia (WCT). Objective To evaluate the diagnostic value of a new WCT discrimination algorithm, herein referred to as the Prelocalization Series Algorithm.
METHODS: A retrospective analysis of 181 ECGs from WCT patients was conducted using the Prelocalization Series Algorithm, Brugada Series Algorithm, and Vereckei Series Algorithm. Initially, the algorithms were used to differentiate between ventricular tachycardia (VT) and supraventricular tachycardia (SVT). Subsequently, the VT cases preliminarily judged were further differentiated into VT or preexcited tachycardia (PXT). The results were compared with the clinically confirmed diagnoses to observe the diagnostic value of the three algorithms.
RESULTS: The Prelocalization Series Algorithm demonstrated higher AUC values (0.90 vs. 0.73 vs. 0.69), sensitivity (0.91 vs. 0.61 vs. 0.50), and accuracy (0.90 vs. 0.71 vs. 0.65) in diagnosing VT compared to the Brugada Series Algorithm and Vereckei Series Algorithm. The Prelocalization Algorithm's single process (without differentiating between VT and PXT) also showed higher AUC values (0.79 vs. 0.67 vs. 0.63), sensitivity (0.96 vs. 0.91 vs. 0.76), specificity (0.62 vs. 0.44 vs. 0.49), and accuracy (0.82 vs. 0.72 vs. 0.65) than the Brugada Four-Step Method and aVR lead method. The accuracy of the Prelocalization Series Algorithm in diagnosing VT (0.90 vs. 0.82) was higher than its single process algorithm.With all differences being statistically significant (all P < 0.05).
CONCLUSION: The Prelocalization Series Algorithm is an effective new algorithm for discriminating WCT and can be attempted for diagnosing VT, SVT, and PXT.
CLINICAL TRIAL NUMBER: Not applicable.
METHODS: A retrospective analysis of 181 ECGs from WCT patients was conducted using the Prelocalization Series Algorithm, Brugada Series Algorithm, and Vereckei Series Algorithm. Initially, the algorithms were used to differentiate between ventricular tachycardia (VT) and supraventricular tachycardia (SVT). Subsequently, the VT cases preliminarily judged were further differentiated into VT or preexcited tachycardia (PXT). The results were compared with the clinically confirmed diagnoses to observe the diagnostic value of the three algorithms.
RESULTS: The Prelocalization Series Algorithm demonstrated higher AUC values (0.90 vs. 0.73 vs. 0.69), sensitivity (0.91 vs. 0.61 vs. 0.50), and accuracy (0.90 vs. 0.71 vs. 0.65) in diagnosing VT compared to the Brugada Series Algorithm and Vereckei Series Algorithm. The Prelocalization Algorithm's single process (without differentiating between VT and PXT) also showed higher AUC values (0.79 vs. 0.67 vs. 0.63), sensitivity (0.96 vs. 0.91 vs. 0.76), specificity (0.62 vs. 0.44 vs. 0.49), and accuracy (0.82 vs. 0.72 vs. 0.65) than the Brugada Four-Step Method and aVR lead method. The accuracy of the Prelocalization Series Algorithm in diagnosing VT (0.90 vs. 0.82) was higher than its single process algorithm.With all differences being statistically significant (all P < 0.05).
CONCLUSION: The Prelocalization Series Algorithm is an effective new algorithm for discriminating WCT and can be attempted for diagnosing VT, SVT, and PXT.
CLINICAL TRIAL NUMBER: Not applicable.
Предметные рубрики MeSH
HumansAlgorithmsRetrospective StudiesElectrocardiographyMaleFemalePredictive Value of TestsTachycardia, VentricularTachycardia, SupraventricularMiddle AgedHeart RateDiagnosis, DifferentialAdultAction PotentialsAgedReproducibility of ResultsSignal Processing, Computer-AssistedYoung AdultPre-Excitation Syndromes