P2277Utility of cardiovascular implantable electronic device (CIED)-derived patient activity, a novel digital biomarker, to predict inappropriate therapy

Abstract

Abstract Background The role of cardiovascular implantable electronic device (CIED)-derived activity to predict inappropriate implantable cardioverter-defibrillator (ICD) therapy is not known. The Multicenter Automatic Defibrillator Implantation Trial – Reduce Inappropriate Therapy (MADIT-RIT) enrolled 1500 patients with contemporary indication for an ICD or a CRT-D. We aimed to identify whether activity, as a digital biomarker, predicted inappropriate therapy. Methods In 1500 patients enrolled in MADIT-RIT, CIED-derived patient activity was acquired daily. CIED-derived activity was averaged for the first 30 days following randomization and utilized in this study to predict inappropriate therapy post- 30-day. Kaplan-Meier survival analysis and multivariate Cox proportional hazards regression models were used to evaluate first inappropriate therapy by 30-day CIED-derived patient activity quintiles, and by 30-day device derived patient activity as a continuous measurement. Results There were a total of 1463 patients with activity data available (90%), 135 patients received at least one inappropriate therapy during the post-30 day follow-up period. Patients in the highest quintile (Q5) of CIED-derived activity (more active) were younger, more often males and more likely to have had a prior ablation of an atrial arrhythmia. Patients in the highest quintile of 30-day CIED-derived median activity had the highest risk of receiving inappropriate therapy, 21% at 2 years as compared 7–11% in the other four quintiles (Figure, p<0.001 for the overall duration). Patients with the highest level of 30-day median patient activity (Q5) had 1.75 times higher risk of any inappropriate therapy as compared with lower levels of activity, Q1-Q4 (HR=1.75, 95% CI: 1.23–2.50, p<0.002). Each 10% increase in CIED-derived 30-day median patient activity was associated with a significant, 73% increase in risk of receiving inappropriate therapy (HR=1.73, 95% CI: 1.17–2.54, p=0.005). Patients in the highest quintile for activity had a 68% increase in the risk of SVT excluding atrial fibrillation, atrial flutter or atrial tachycardia (HR=1.69, 95% CI: 1.26–2.25, p=0.004), despite 96% receiving beta-blocker medications. Inappropriate ICD Therapies by Activity Conclusions CIED-derived 30-day median patient activity predicted subsequent inappropriate therapy in ICD and CRT-D patients enrolled in MADIT-RIT. Patients with high levels of 30-day CIED-derived median patient activity were at a significantly higher risk of receiving inappropriate therapy. Activity, as a digital biomarker, may have utility in predicting and managing the risk of inappropriate therapy in this population. Acknowledgement/Funding Boston Scientific