Key result
Boston Scientific PMT algorithm correctly diagnoses ~80% of RYTHMIQ episodes but frequently misdiagnoses sinus tachycardia.
Why the study?
Does the Boston Scientific PMT algorithm accurately diagnose pacemaker-mediated tachycardia in patients with implanted devices?
Observational (n=328)
Yes
Does the Boston Scientific PMT algorithm accurately diagnose pacemaker-mediated tachycardia in patients with implanted devices?
The Boston Scientific PMT algorithm has a high rate of incorrect diagnosis during sinus tachycardia, which can lead to inappropriate therapy, loss of CRT, and potential pro-arrhythmic events.
Answers are grounded in this paper and cite their sources.
Misdiagnosis of sinus tachycardia as PMT by Boston Scientific devices may prompt inappropriate interventions; leaves open need for prospective validation and algorithm refinement.
INTRODUCTION: The incidence of pacemaker-mediated tachycardia (PMT) varies as a function of patient characteristics, device programming and algorithm specificities. We investigated the efficacy of the Boston Scientific algorithm by reviewing PMT episodes in a large device population. METHODS: In this multicenter study, we included 328 patients implanted with a Boston Scientific device: 157 non-dependent patients with RYTHMIQ™ activated (RYTHMIQ group), 76 patients with permanent AV-conduction disorder (AV-block group) and 95 Cardiac Resynchronization Therapy patients (CRT group). For each patient, we reviewed the last 10 remote monitoring-transmitted EGMs diagnosed as PMT. RESULTS: We analyzed 784 PMT episodes across 118 patients. In the RYTHMIQ group, the diagnosis of PMT was correct in most episodes (80%) of which 69% was directly related to the prolongation of the AV-delay associated with the RYTHMIQ algorithm. The usual triggers for PMT were also observed (PVC 16%, PAC 9%). The remainder of the episodes (20%) in RYTHMIQ patients and most episodes of AV-block (66%) and CRT patients (74%) were incorrectly diagnosed as PMT during sinus tachycardia at the maximal tracking rate. The inappropriate intervention of the algorithm during exercise causes non-conducted P-waves, loss of CRT (sustained in six patients) and may have been pro-arrhythmogenic in one patient (induction of ventricular tachycardia). CONCLUSION: Algorithms to minimize ventricular pacing can occasionally have unintended consequences such as PMT. The PMT algorithm in Boston Scientific devices is associated with a high rate of incorrect PMT diagnosis during exercise resulting in inappropriate therapy with non-conducted P-waves, loss of CRT and limited risk of pro-arrhythmic events.
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Strik et al. (2016) conducted an observational in Patients implanted with a Boston Scientific device (n=328). Boston Scientific PMT algorithm was evaluated on Accuracy of PMT diagnosis. The Boston Scientific PMT algorithm correctly diagnosed PMT in 80% of episodes in RYTHMIQ patients, but incorrectly diagnosed PMT in 66% of AV-block and 74% of CRT patients during sinus tachycardia.
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