The SMART Detection algorithm achieved 100% sensitivity and 95.6% accuracy for discriminating ventricular tachycardia from supraventricular tachycardia.
Observational (n=26)
Does the SMART Detection™ algorithm accurately discriminate ventricular tachycardia from supraventricular tachycardia in patients with dual chamber ICDs?
The SMART Detection algorithm in dual chamber ICDs demonstrates high sensitivity and accuracy in discriminating ventricular from supraventricular tachycardias, which may help reduce inappropriate therapies.
Inappropriate therapy, due to poor discrimination of supraventricular tachycardia (SVT) from ventricular tachycardia (VT) remains a major problem in patients with an implantable cardioverter defibrillator (ICD). Theoretically, the addition of atrial sensing in discrimination algorithms should improve this differentiation. The aim of the study is to evaluate the performance of a new tachycardia discrimination algorithm, SMART Detection™. Twenty-six patients received a non-thoracotomy ICD system (Phylax AV, Biotronik, Germany). All documented spontaneous arrhythmia episodes were analyzed. During a mean follow-up of 8 months, a total number of 139 events with stored electrograms were recorded in 12 patients. The final diagnosis was ventricular fibrillation (VF) or polymorphic VT (n=20), monomorphic VT (n=69), SVT (n=26), other ventricular arrhythmia (n=3) and T wave oversensing (n=21). In 6 episodes a dual tachycardia was present. Considering SVT episodes, inappropriate therapy occurred in 2 cases of atrial flutter due to stable ventricular rate (10%). With the SMART Detection™ algorithm, discrimination of VT from SVT achieved a sensitivity of 100%, with an accuracy of 95·6% for all ventricular arrhythmias. In the case of SVT, the algorithm appropriately detected and inhibited therapy in 88% of atrial fibrillation.
Damj Theuns (Sun,) conducted a observational in Patients with an implantable cardioverter defibrillator (ICD) (n=26). SMART Detection algorithm was evaluated on Accuracy of discriminating ventricular tachycardia from supraventricular tachycardia. The SMART Detection algorithm achieved 100% sensitivity and 95.6% accuracy for discriminating ventricular tachycardia from supraventricular tachycardia.
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